Alternatives to OLake Fusion
Compare OLake Fusion alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to OLake Fusion in 2026. Compare features, ratings, user reviews, pricing, and more from OLake Fusion competitors and alternatives in order to make an informed decision for your business.
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Databricks
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
2
IOMETE
IOMETE
IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control. Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual. Included in one platform: - Data Lakehouse(s) - Data Catalog - SQL Editor - Apache Spark Jobs - ML Notebooks - Orchestration Engine - Spark Connect Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible. Transparent pricing — CPU-based, no per-query fees, no billing surprises.Starting Price: Free -
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OLake Go
Datazip
OLake Go is an open-source data replication platform for moving operational data into data lakehouse storage. It connects to databases such as PostgreSQL, MySQL, MongoDB, Oracle Database, SQL Server, and IBM Db2, as well as Apache Kafka and object storage. The platform supports full-load and incremental ingestion, including change data capture for supported connectors, and writes data to Apache Iceberg tables and Parquet files using supported catalogs and storage targets. Data engineers and analytics platform teams can run ingestion jobs through the OLake UI or command-line workflows, deploy the software in their own infrastructure, and prepare synchronized lakehouse datasets for downstream querying and analytics. Docker-based deployment and connector-specific configuration let teams manage source connections, destinations, and data movement in a self-hosted environment.Starting Price: $0 -
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Apache Iceberg
Apache Software Foundation
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time. Iceberg supports flexible SQL commands to merge new data, update existing rows, and perform targeted deletes. Iceberg can eagerly rewrite data files for read performance, or it can use delete deltas for faster updates. Iceberg handles the tedious and error-prone task of producing partition values for rows in a table and skips unnecessary partitions and files automatically. No extra filters are needed for fast queries, and the table layout can be updated as data or queries change.Starting Price: Free -
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Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
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Google Cloud Lakehouse
Google
Google Cloud Lakehouse is a storage engine designed to unify data warehouses and data lakes into a single, cohesive platform. It allows organizations to access and manage data in open formats such as Apache Iceberg, Parquet, and ORC. The platform enables users to work with a single copy of data without needing to duplicate or move it across systems. It provides fine-grained security controls to ensure proper data governance and access management. Google Cloud Lakehouse simplifies data operations by integrating analytics and storage capabilities. It supports modern data workflows, including big data processing and analytics. The platform is built to scale with enterprise data needs while maintaining performance and flexibility. Overall, it helps organizations streamline data management and unlock insights more efficiently.Starting Price: $5 per TB -
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R2 SQL
Cloudflare
R2 SQL is Cloudflare’s serverless, distributed analytics query engine (currently in open beta) that enables you to run SQL queries over Apache Iceberg tables stored in R2 Data Catalog without needing to manage your own compute clusters. It is built to efficiently query large volumes of data by leveraging metadata pruning, partition-level statistics, file and row-group filtering, and Cloudflare’s globally distributed compute infrastructure to parallelize execution. The system works by integrating with R2 object storage and an Iceberg catalog layer, so you can ingest data via Cloudflare Pipelines into Iceberg tables, and then query that data with minimal overhead. Queries can be issued via the Wrangler CLI or HTTP API (with an API token granting permissions across R2 SQL, Data Catalog, and storage). During the open beta period, using R2 SQL itself is not billed, only storage and standard R2 operations incur charges.Starting Price: Free -
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Cazpian
Cazpian
Cazpian is a unified data platform designed for modern data teams working with open lakehouse architectures. The platform brings together data governance, compute environments, catalog management, and AI capabilities into a single system. Cazpian allows organizations to connect and query data across object storage, Iceberg tables, and relational databases through one SQL interface. Its unified catalog enables teams to manage data sources without moving or duplicating datasets. The platform also includes tools for scheduling jobs, running queries, and managing compute resources. Built-in AI agents provide evidence-backed insights and help teams analyze data more efficiently. By combining governance, analytics, and automation in one platform, Cazpian helps organizations manage large-scale data environments more effectively. -
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Upsolver
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries. -
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CelerData Cloud
CelerData
CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings. -
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Apache Sentry
Apache Software Foundation
Apache Sentry™ is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster. Apache Sentry has successfully graduated from the Incubator in March of 2016 and is now a Top-Level Apache project. Apache Sentry is a granular, role-based authorization module for Hadoop. Sentry provides the ability to control and enforce precise levels of privileges on data for authenticated users and applications on a Hadoop cluster. Sentry currently works out of the box with Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala and HDFS (limited to Hive table data). Sentry is designed to be a pluggable authorization engine for Hadoop components. It allows you to define authorization rules to validate a user or application’s access requests for Hadoop resources. Sentry is highly modular and can support authorization for a wide variety of data models in Hadoop. -
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Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable. -
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e6data
e6data
Limited competition due to deep barriers to entry, specialized know-how, massive capital needs, and long time-to-market. Existing platforms are indistinguishable in price, and performance reducing the incentive to switch. Migrating from one engine’s SQL dialect to another engine’s SQL involves months of effort. Truly format-neutral computing, interoperable with all major open standards. Enterprise data leaders are hit by an unprecedented explosion in computing demand for data intelligence. They are surprised to find that 10% of their heavy, compute-intensive use cases consume 80% of the cost, engineering effort and stakeholder complaints. Unfortunately, such workloads are also mission-critical and non-discretionary. e6data amplifies ROI on enterprises' existing data platforms and architecture. e6data’s truly format-neutral compute has the unique distinction of being equally efficient and performant across leading data lakehouse table formats. -
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Managed Service for Apache Spark is a Google Cloud solution that simplifies running Apache Spark workloads with either serverless execution or fully managed clusters. It allows users to process large-scale data without needing to manage infrastructure, reducing operational complexity. The platform features Lightning Engine, which accelerates Spark performance by up to 4.9 times compared to open-source Spark. It supports data engineering, data science, and machine learning workflows at scale. Integration with Gemini enables AI-powered development, including automated code generation and troubleshooting. The service works seamlessly with open data formats like Apache Iceberg and integrates with tools like BigQuery and Knowledge Catalog. It offers flexible deployment options to suit different workloads and use cases. Overall, it provides a faster, smarter, and more efficient way to run Spark workloads in the cloud.
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A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data technologies you use today. A data lakehouse can be built from the ground up on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services like Oracle’s language service. Data Flow is a serverless Spark service that enables our customers to focus on their Spark workloads with zero infrastructure concepts. Oracle customers want to build advanced, machine learning-based analytics over their Oracle SaaS data, or any SaaS data. Our easy- to-use data integration connectors for Oracle SaaS, make creating a lakehouse to analyze all data with your SaaS data easy and reduces time to solution.
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Delta Lake
Delta Lake
Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. Data lakes typically have multiple data pipelines reading and writing data concurrently, and data engineers have to go through a tedious process to ensure data integrity, due to the lack of transactions. Delta Lake brings ACID transactions to your data lakes. It provides serializability, the strongest level of isolation level. Learn more at Diving into Delta Lake: Unpacking the Transaction Log. In big data, even the metadata itself can be "big data". Delta Lake treats metadata just like data, leveraging Spark's distributed processing power to handle all its metadata. As a result, Delta Lake can handle petabyte-scale tables with billions of partitions and files at ease. Delta Lake provides snapshots of data enabling developers to access and revert to earlier versions of data for audits, rollbacks or to reproduce experiments. -
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Apache Impala
Apache
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.Starting Price: Free -
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Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.
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Cloudflare R2
Cloudflare
Cloudflare R2 is a global object storage service that allows developers to store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services. It supports multiple scenarios, including storage for cloud-native applications, web content, podcast episodes, data lakes, and outputs for large batch processes such as machine learning model artifacts or datasets. R2 offers features like location hints to optimize data access, CORS configuration for interacting with objects, public buckets to expose contents directly to the Internet, and bucket-scoped tokens for granular access control. It integrates with Cloudflare Workers, enabling developers to perform authentication, route requests, and deploy edge functions across a network of over 330 data centers. Additionally, R2 supports Apache Iceberg through its data catalog, transforming object storage into a fully functional data warehouse without management overhead.Starting Price: $0.015 per GB -
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Iceberg Digital Lifesycle
Iceberg Digital
Iceberg Digital Lifesycle is an AI-powered operating system designed to replace traditional CRM software for estate agents. It goes beyond basic contact management by automating workflows, lead qualification, and marketing processes. The platform unifies multiple tools into one system, including prospecting, property matching, and compliance management. Unlike traditional CRMs, Iceberg actively analyzes data and triggers actions instead of relying on manual input. It helps estate agencies identify opportunities, automate follow-ups, and improve efficiency across operations. By reducing administrative workload, it allows teams to focus on revenue-generating activities. Overall, Iceberg Digital transforms how estate agencies operate by introducing intelligent automation and decision-making.Starting Price: $1399 per company -
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Apache Doris
The Apache Software Foundation
Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation. Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine. Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL. Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches. Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.Starting Price: Free -
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Unity Catalog
Databricks
Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms. -
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Apache Trafodion
Apache Software Foundation
Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop. Trafodion builds on the scalability, elasticity, and flexibility of Hadoop. Trafodion extends Hadoop to provide guaranteed transactional integrity, enabling new kinds of big data applications to run on Hadoop. Full-functioned ANSI SQL language support. JDBC/ODBC connectivity for Linux/Windows clients. Distributed ACID transaction protection across multiple statements, tables, and rows. Performance improvements for OLTP workloads with compile-time and run-time optimizations. Support for large data sets using a parallel-aware query optimizer. Reuse existing SQL skills and improve developer productivity. Distributed ACID transactions guarantee data consistency across multiple rows and tables. Interoperability with existing tools and applications. Hadoop and Linux distribution neutral. Easy to add to your existing Hadoop infrastructure.Starting Price: Free -
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Archon Data Store
Platform 3 Solutions
Archon Data Store is a next-generation enterprise data archiving platform designed to help organizations manage rapid data growth, reduce legacy application costs, and meet global compliance standards. Built on a modern Lakehouse architecture, Archon Data Store unifies data lakes and data warehouses to deliver secure, scalable, and analytics-ready archival storage. The platform supports on-premise, cloud, and hybrid deployments with AES-256 encryption, audit trails, metadata governance, and role-based access control. Archon Data Store offers intelligent storage tiering, high-performance querying, and seamless integration with BI tools. It enables efficient application decommissioning, cloud migration, and digital modernization while transforming archived data into a strategic asset. With Archon Data Store, organizations can ensure long-term compliance, optimize storage costs, and unlock AI-driven insights from historical data. -
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IBM watsonx.data
IBM
Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more. -
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FutureAnalytica
FutureAnalytica
Ours is the world’s first & only end-to-end platform for all your AI-powered innovation needs — right from data cleansing & structuring, to creating & deploying advanced data-science models, to infusing advanced analytics algorithms with built-in Recommendation AI, to deducing the outcomes with easy-to-deduce visualization dashboards, as well as Explainable AI to backtrack how the outcomes were derived, our no-code AI platform can do it all! Our platform offers a holistic, seamless data science experience. With key features like a robust Data Lakehouse, a unique AI Studio, a comprehensive AI Marketplace, and a world-class data-science support team (on a need basis), FutureAnalytica is geared to reduce your time, efforts & costs across your data-science & AI journey. Initiate discussions with the leadership, followed by a quick technology assessment in 1–3 days. Build ready-to-integrate AI solutions using FA's fully automated data science & AI platform in 10–18 days. -
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Cloudera DataFlow
Cloudera
Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes. -
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PCVITA SQL Database Recovery
PCVITA
SQL Database Recovery software provides you with two different modes for scanning corrupted SQL database files. One is a quick scan and the other is an advanced scan. If the database file is moderately corrupted, then choose the quick scan mode. In case of highly corrupted MDF/NDF files, select the advanced scan mode for SQL data recovery. This advanced software generates a preview of recovered data before you export it into your desired export options. SQL Database Recovery Software is capable of recovering all components from damaged or corrupt SQL databases. These components include views, tables, functions, rules, triggers, stored procedures, associated keys, etc. All these components can be easily recovered using the automated tool smartly. The modern solution recovers as well as deletes SQL database data. The software displays the deleted table records in red color. Users can recover deleted SQL database objects such as tables, stored procedures, functions, views, triggers, etc.Starting Price: $249 one-time payment -
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Amazon Athena
Amazon
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning. -
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Apache Hive
Apache Software Foundation
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API. -
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TestDisk
TestDisk
TestDisk is powerful free data recovery software! It was primarily designed to help recover lost partitions and/or make non-booting disks bootable again when these symptoms are caused by faulty software, certain types of viruses or human error (such as accidentally deleting a Partition Table). Partition table recovery using TestDisk is really easy. Fix partition table, recover deleted partition. Recover FAT32 boot sector from its backup. Rebuild FAT12/FAT16/FAT32 boot sector. Fix FAT tables. Rebuild the NTFS boot sector. Recover the NTFS boot sector from its backup. Fix MFT using MFT mirror. Locate ext2/ext3/ext4 Backup SuperBlock. Undelete files from FAT, exFAT, NTFS, and ext2 filesystem. Copy files from deleted FAT, exFAT, NTFS and ext2/ext3/ext4 partitions. TestDisk has features for both novices and experts. For those who know little or nothing about data recovery techniques, TestDisk can be used to collect detailed information about a non-booting drive.Starting Price: Free -
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MissionKontrol
MissionKontrol
Fully configurable tables with granular controls. Allow your internal users to view, full text search, edit, delete and add records to tables in your systems. Fully configurable tables with granular controls. Allow your internal users to view, full text search, edit, delete and add records to tables in your systems. Text search quickly finds all instances of a word, number or date in a table. Import / Export CSVs to quickly get to the data you need. Edit and arrange table columns to create layouts that suit you and your team. Simple adding and editing of records. Configurable, as shown below is how this is done. We also have an SDK to ensure data validation. Combine data from across your systems to create powerful single views of customers, transactions or other entities using our drag and drop builder. Build views using the drag and drop builder. Trigger external webhooks, inline editing of fields, call via VOIP integration. -
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Nucleon BizApp Studio
Nucleon Software
Nucleon BizApp Studio is a high-level application design and development software without or less coding. It supports data editor forms, user controls, reports, charts, tables, cross tables, scripting and other application components. Data Forms allow you to CRUD (create, edit, update, delete), search and view data using HTML-based editor forms. It provides a form designer and viewer where you can design data editor form with its data editor controls (textbox, datatime, numeric, image etc.) and edit the data using this form. It allows only RDBMS (MS Access, Oracle, MySQL, PostgreSQL, SQL-Server etc.) to create, read, update and delete data. NoSQL database systems currently are not supported. Nucleon BI provides OLAP Cross Table features for easy visual data mining and analysis: The Cross Table module provides MS Excel-like tables (Pivot Table), engineered for multi-dimensional data analysis and cross-tab report generation. -
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QueryWell
Elaman Group Ltd
QueryWell is a desktop SQL and reporting workbench for Oracle Fusion Cloud ERP teams in finance systems, ERP reporting, and internal audit. It uses Fusion's supported BI Publisher services for read-only SQL, existing reports, and parameterized queries in a single worksheet. Users can review results in a grid, chart and profile columns, then export CSV, JSON, XLSX or PDF. Run history and SHA-256 records support evidence review and file verification. Three toolkits provide 82 scripts for Audit/ITGC, DBA, finance, HR and supply-chain reporting. An optional Data Loader schedules selected Fusion tables into a customer-managed Oracle Autonomous Database. Studio + AI can draft editable SQL through a model provider configured by the customer. The Windows and macOS app stores credentials in the system keychain and keeps reporting data on the user's device.Starting Price: £1,200/user one-time -
35
JSON Viewer
JSONViewer.tools
jsonviewer.tools — a powerful and interactive JSON visualization platform that helps users easily view, analyze, and explore complex JSON data. Graph & Tree Visualization – Interactive 2D and compact graph modes with zoom, pan, and hover link visualization. Table View for CSV – Upload CSV files and view them in a clean, sortable table format. 3D Visualization – External 3D JSON graph visualization option. File Support – Upload and visualize JSON, CSV, and YAML files. Interactive Graph Export – Double-click any JSON key to generate a graph for that key and export it as PNG. Direction Control – Change the graph direction (horizontal/vertical). Theme Customization – Switch between light/dark or custom color themes. Comparison Tool – Compare two JSON files side by side. Dummy JSON Generator – Quickly generate sample JSON for testing or demo use.Starting Price: $1.99/month -
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Hadoop
Apache Software Foundation
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2). -
37
Fusion My Business
Fusion Kitchen
Fusion My Business is an all-in-one point-of-sale and business management platform that helps UK-based retail, hospitality, salon, and service businesses streamline transactions, inventory, staff and shift management, customer engagement, and payments in a single system; it replaces separate tools by combining POS terminals, contactless card and mobile payments, inventory tracking, real-time sales reporting, online ordering, table and catalog management, and customer/loyalty features so teams can sell faster and manage operations with fewer friction points. It supports tailored POS experiences for restaurants, salons, and retail outlets, offering integrated tools to accept chip & PIN, contactless, and mobile transactions, generate digital receipts, manage refunds and tips, and provide detailed analytics. With mobile and web access, Fusion enables businesses to launch branded online stores, generate payment links, and QR code payments.Starting Price: £15.99 per week -
38
Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
39
HerdDB
Diennea
HerdDB is a SQL distributed database implemented in Java. It has been designed to be embeddable in any Java Virtual Machine. It is optimized for fast "writes" and primary key read/update access patterns. HerdDB is designed to manage hundreds of tables. It is simple to add and remove hosts and to reconfigure tablespaces to easly distribute the load on multiple systems. HerdDB leverages Apache Zookeeper and Apache Bookkeeper to build a fully replicated, shared-nothing architecture without any single point of failure. At the low level HerdDB is very similar to a key-value NoSQL database. On top of that an SQL abstraction layer and JDBC Driver support enables every user to leverage existing known-how and port existing applications to HerdDB. At Diennea we developed EmailSuccess, a powerfull MTA (Mail Transfer Agent), designed to deliver millions of email messages per hour to inboxes all around the world, -
40
Page Flip Book Maker
Flip PDF
Page Flip Book Maker is an easy to use yet powerful page flipping book software that allows create your own professional and gorgeous page flip book. With Page Flip Book Maker, you do not need any flash programming skills, only import your text book, and then choose the theme templates from a variety of preset Page Flip Book Maker , then final publish. Flip PDF is a digital publishing software that allows you to create realistic page-flipping e-Publications including E-books, E-magazines, E-brochures, E-catalogs, E-reports, E-Newsletters. Flip PDF can convert PDF, images and SWF to digital editions directly. All links and table of contents will be imported into your publication automatically. Add/edit/delete links, audios and table of contents before publishing. -
41
Wherobots
Wherobots
Wherobots, the Spatial Intelligence Cloud, enables any data team to analyze data about the physical world faster, at greater scale, and at lower cost compared to traditional solutions. Built by the creators of Apache Sedona, it's a compute lakehouse engine that unifies spatial and non-spatial data, automates data workflows, and runs AI on planetary scale imagery. Spatial data refers to information about places, objects, or activities. Examples include GPS points and tracks, routes, land, road, parcel, crop, and building data, as well as imagery from drones and satellites. This data is fundamental to various industries including aerospace, mobility, ag-tech, insurance, energy, telecommunications, retail, and logistics. In one solution, Wherobots handles these diverse spatial data types and formats, with customers seeing production workloads run up to 20x faster and at lower cost than popular lakehouse engines. -
42
SeekTable
SeekTable
SeekTable is a self-service BI tool for ad-hoc data analytics, operational & embedded reporting with live tables & charts. You can get answers on these questions in seconds simply by uploading your data file into SeekTable cloud service and create useful reports (pivot tables, charts, datagrids) with a simple web interface. No IT background needed, it is enough to understand basic pivot table concepts. Pivot tables can be a great way to explore your data - even if you're not quite sure what you're looking for yet. Configured reports may be saved, exported to PDF or Excel file (preserving the layout), shared to other SeekTable users, published to web and embedded into any web page. You can automate reports generation and deliver them on schedule. When database is used as a data source you always get actual data which makes SeekTable perfect for live (operational) reports; if your dataset is too large for direct queries you may use report parameters to apply filters by indexed column(s).Starting Price: $25 per user per month -
43
Zaloni Arena
Zaloni
End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity. -
44
RazorSQL
RazorSQL
RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.Starting Price: $99.95 one-time payment -
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Beekeeper Studio
Beekeeper Studio
Encrypt your connection with SSL, or tunnel through SSH. Save a connection password and Beekeeper Studio will encrypt it. Our built-in editor provides syntax highlighting and auto-complete suggestions for your tables so you can work quickly and easily. Open dozens of tabs so you can work quickly without having to switch windows. Table DDL and data views get their own tabs too! Easily save and organize commonly used queries so you can use them again and again across all your connections. Beekeeper's SQL table creator lets you create, edit, and delete table columns in just a few clicks. Export a table to CSV, JSON, JSONL, or SQL with just a few clicks. Optionally apply filters to export only the data you need.Starting Price: $7 per month -
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Amazon Keyspaces
Amazon
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you pay for only the resources you use and the service can automatically scale tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. Amazon Keyspaces gives you the performance, elasticity, and enterprise features you need to operate business-critical Cassandra workloads at scale. Process data at high speeds for applications that require single-digit-millisecond latency, such as industrial equipment maintenance, trade monitoring, etc. -
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Apache Phoenix
Apache Software Foundation
Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.Starting Price: Free -
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PDM Builder
Pricedex Software
PDM Builder is a versatile client-server environment in which you can access many of the core AutoPIM Pro™ tables and make additions, changes and modifications to the structures on the fly. PDM Builder uses an object-oriented database model which permits you to access internal system tables and attributes, and enhance the database model without traditional SQL Server administrators or analysts. PDM Builder is used to establish and maintain product and part relationships, pricing methodologies, catalog structures and business rules and logic while maintaining robust integration connections with business systems including, ERP and e-Commerce. PDM Builder’s central repository becomes that ‘one single source of the truth in your master data management strategy. Gain access to the rich and deep data of your PIM System with Pricedex e-Reports™, a toolset designed to increase decision-support capabilities by linking PIM system data to external reference data. -
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PushTable
Trellis Technologies
Flexible data structure, direct data table inputs, and serverless support make PushTable the perfect data management tool for front-end developers and development agencies. PushTable is just a UI on top of Google Cloud Platform and Firebase. Leverage Google Cloud Platform's fast network and global CDN. Use existing robust database APIs such as Firestore, and Datastore. Maintain full ownership and control over your data. Data is stored in Google Cloud Firestore, a real-time database. Uploaded files are stored in Google Cloud Storage. Built to leverage the Firebase platform. Traditional content management systems are rigid and get the way of development, PushTable changes all that. Looking for ways to manage your e-commerce inventory, company blog, in-app translations and more? Simplify the process and use a general-purpose CMS. PushTable easily integrates with static site generators and mobile SDK. -
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DataNumen SQL Recovery
DataNumen
DataNumen SQL Recovery is the best SQL server recovery tool in the world. It can repair corrupt or damaged MDF database files and recover as much of your data as possible, thereby minimizing the loss in file corruption. Recover stored procedures, scalar functions, inline table-valued functions, and multistatement table-valued functions. Recover stored procedures, scalar functions, inline table-valued functions, and multistatement table-valued functions. Recover SQL database objects, including views, triggers, rules, and defaults. Recover the schema/structure and data in the tables. Recover and decrypt encrypted objects in SQL Server databases.Starting Price: $499.95 one-time payment
