Alternatives to Logi Symphony
Compare Logi Symphony alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Logi Symphony in 2026. Compare features, ratings, user reviews, pricing, and more from Logi Symphony competitors and alternatives in order to make an informed decision for your business.
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Microsoft Power BI
Microsoft
Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a ForresStarting Price: $14/user/month -
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IBM Db2 Big SQL
IBM
A hybrid SQL-on-Hadoop engine delivering advanced, security-rich data query across enterprise big data sources, including Hadoop, object storage and data warehouses. IBM Db2 Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as Hadoop HDFS and WebHDFS, RDMS, NoSQL databases, and object stores. Benefit from low latency, high performance, data security, SQL compatibility, and federation capabilities to do ad hoc and complex queries. Db2 Big SQL is now available in 2 variations. It can be integrated with Cloudera Data Platform, or accessed as a cloud-native service on the IBM Cloud Pak® for Data platform. Access and analyze data and perform queries on batch and real-time data across sources, like Hadoop, object stores and data warehouses. -
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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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4
Warp 10
SenX
Warp 10 is a modular open source platform that collects, stores, and analyzes data from sensors. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 is both a time series database and a powerful analytics environment, allowing you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system. -
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VoltDB
VoltDB
Volt Active Data is a data platform built to make your entire tech stack leaner, faster, and less expensive, so that your applications (and your company) can scale seamlessly to meet the ultra-low latency SLAs of 5G, IoT, edge computing, and whatever comes next. Designed to augment your existing big data investments, such as NoSQL, Hadoop, Kubernetes, Kafka, and traditional databases or data warehouses, Volt Active Data replaces the various layers typically required to make contextual decisions on streaming data with a single, unified layer that can handle ingest to action in less than 10 milliseconds. The world is full of data that’s generated, stored, forgotten, and then deleted. “Active Data” is data that needs to be acted on immediately to gain business value from it. There are lots of traditional and NoSQL data storage products that you can use to keep such data. There’s also data that you can make money from, if only you can act on it fast enough to ‘influence the moment’. -
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Rapidminer Panopticon
Siemens
Rapidminer Panopticon is a business intelligence and real-time visual analytics platform from Siemens that helps users build and deploy dashboards without writing code. It supports both real-time and historical data, allowing organizations to monitor fast-changing information and compare it with past performance. The software connects to message queues, complex event processing systems, SQL and NoSQL databases, cloud services, flat files, and other data sources. Rapidminer Panopticon helps users identify correlations, trends, exceptions, anomalies, and complex relationships in high-volume data streams. It can process streaming data down to nanosecond timestamps and supports playback at real-time, faster-than-real-time, or slower speeds for deeper analysis. With deployment options for cloud, containers, and on-premises environments, Rapidminer Panopticon helps businesses deliver secure dashboards, embedded analytics, and time-critical insights across the enterprise.Starting Price: $1000.00/one-time/user -
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IRI DarkShield
IRI, The CoSort Company
IRI DarkShield is a powerful data masking tool that can (simultaneously) find and anonymize Personally Identifiable Information (PII) "hidden" in semi-structured and unstructured files and database columns / collections. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it finds in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF DarkShield is one of 3 data masking products in the IRI Data Protector Suite, and comes with IRI Voracity data management platform subscriptions. DarkShield bridges the gap between structured and unstructured data masking, allowing users to secure data in a consistent manner across disparate silos and formats by using the same masking functions as FieldShield and CellShield EE. DarkShield also handles data in RDBs and flat-files, too, but there are more capabilities that FieldShield offers for those sources.Starting Price: $5000 -
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BigBI
BigBI
BigBI enables data specialists to build their own powerful big data pipelines interactively & efficiently, without any coding! BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data (up to 100X faster) Integration of traditional data (SQL, batch files) with modern data sources including semi-structured (JSON, NoSQL DBs, Elastic, Hadoop), and unstructured (Text, Audio, video), Integration of streaming data, cloud data, AI/ML & graphs -
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Oracle Big Data Discovery
Oracle
Oracle Big Data Discovery is a stunningly visual, intuitive product that leverages the power of Hadoop to transform raw data into business insight in minutes, without the need to learn complex tools or rely only on highly specialized resources. With Oracle Big Data Discovery, customers can easily find relevant data sets in Hadoop, explore the data and quickly understand its potential, transform and enrich data to make it better, analyze the data to discover new insights, share results and publish back to Hadoop for use across the enterprise. In your organization, use BDD as the center of your data lab, as a unified environment for navigating and exploring all of your data sources in Hadoop, and to create projects and BDD applications. In BDD, a wider number of people can work with big data, compared with traditional analytics tools. You spend less time on data loading and updates, and can focus on actual data analysis of big data. -
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doolytic
doolytic
doolytic is leading the way in big data discovery, the convergence of data discovery, advanced analytics, and big data. doolytic is rallying expert BI users to the revolution in self-service exploration of big data, revealing the data scientist in all of us. doolytic is an enterprise software solution for native discovery on big data. doolytic is based on best-of-breed, scalable, open-source technologies. Lightening performance on billions of records and petabytes of data. Structured, unstructured and real-time data from any source. Sophisticated advanced query capabilities for expert users, Integration with R for advanced and predictive applications. Search, analyze, and visualize data from any format, any source in real-time with the flexibility of Elastic. Leverage the power of Hadoop data lakes with no latency and concurrency issues. doolytic solves common BI problems and enables big data discovery without clumsy and inefficient workarounds. -
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Flatfile
Flatfile
Flatfile is an AI-powered data exchange platform designed to streamline the collection, mapping, cleaning, transformation, and conversion of data for enterprises. It offers a rich library of smart APIs for file-based data import, enabling developers to integrate its capabilities seamlessly into their applications. The platform provides an intuitive, workbook-style user experience, facilitating user-friendly data management with features like search, find and replace, and sort functionalities. Flatfile ensures compliance with industry standards, being SOC 2, HIPAA, and GDPR compliant, and operates on secure cloud infrastructure for scalability and performance. By automating data transformations and validations, Flatfile reduces manual effort, accelerates data onboarding processes, and enhances data quality across various industries. -
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AMP CMS
AMP CMS
AMP is a web framework and website publishing technology developed by Google which aims to "provide a mobile-first format for web content". It is an open-source HTML framework that provides a straightforward way to create web pages that are fast, smooth-loading and prioritize the user experience. AMP CMS is our custom-developed content management system to create beautiful AMP pages from scratch. Our CMS is flat-file based, which means the data is stored in flat files on the disk and not on a database. We have ensured that our CMS creates SEO-friendly page that have the right schema and ready to be shared on various social media platforms. Web page speed is one of the main criteria for building better interactions with the visitors, if the site is slow to load, you might be losing business.Starting Price: $30 per month -
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Cloud BI
Perfsys
cloud-based applications for your business. Cloud Business Intelligence for marketing, sales, finance and operations 100% Amazon Web Services solutions. No servers needed, no prepayments. Collect AWS Lambda workers. AWS Scheduled Events. Tokens management. Transform. DynamoDB as zero-like super reliable no-SQL storage. Store Raw data and trigger Transformations. AWS Lambda Serverless ETL logic. Store. Triggered by DynamoDB Streams AWS S3 + CSV files as lightweight cheap objects storage. Integrates great with big data HDFS distributed storage. Explore. AWS Athena is a Hadoop Hive based open source solutions from big data ecosystem. AWS S3 as native datasource to read CSV files as a datasource files SQL-like queries. Present AWS Quicksights for BI dashboards. Use Athena + S3 a datasource. Web and Mobile Quicksight clients. Quicksight allow to do drill-down and filters + many more. -
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Abacus Insights Platform
Abacus Insights
The fully managed platform leverages best-in-class cloud technologies modernizes the healthcare data ecosystem, ensures interoperability, lowers the total cost of ownership and delivers scale and flexibility. Abacus Insights’ concierge data management services and customer-centric focus minimize change management, allowing you to focus on building rich analytic capabilities that accomplish your business objectives. The platform’s Unified Data Foundation securely improves healthcare data quality through standardization that enables a seamless distribution of on-demand data to end-users. Industry-leading healthcare experts to assist in improving how your data is managed. Accelerates the development of enterprise data warehouse, operational data stores, data marts and data lakes and gives you peace of mind with experts to help business users. -
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DataLion
Datalion
DataLion is the easy-to-use web-based software for dashboards, business intelligence, market research, and IoT. That’s why our DataLion software lets you easily visualize and analyze large volumes of data in dashboards. This will give you valuable insights through automated interactive reports and understandable dashboards. The web-based DataLion software presents the results of your analyses to non-experts in a comprehensible and clear way. Find the hidden treasure in your data. Targeted analyses, faster insights, and better decisions. Only a few clicks to create comprehensible analyses with appealing and innovative visualizations. Our DataLion data warehouse is located in Germany and is ISO 27001 certified. We’re ready for your data upload. Or you can connect your own SQL, NoSQL or Big Data databases.Starting Price: $200 per month -
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Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
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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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CData Python Connectors
CData Software
CData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. Our Python Connectors offer simple Python database interfaces (DB-API), making it easy to connect with popular tooling like Jupyter Notebook, SQLAlchemy, pandas, Dash, Apache Airflow, petl, and more. CData Python Connectors create a SQL wrapper around APIs and data protocols, simplifying data access from within Python and enabling Python users to easily connect more than 150 SaaS, Big Data, NoSQL, and relational data sources with advanced Python processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/Cloud, NoSQL, and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/ -
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Apache Kylin
Apache Software Foundation
Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query. -
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EXA Operational Transfer Pricing (EXA OTP) is SAP-standard software tailored for controlling, accounting, and tax experts to automate and optimize intercompany transfer pricing management. It delivers a single source of truth through an SAP Fiori interface, deployed on-premise or in the public cloud, seamlessly integrating with SAP ERP via an ETL plug-in or flat-file uploads. Users can configure entities, charts of accounts, product hierarchies, transaction groups, TP methods, functions, and profit level indicators with a built-in OPEX allocation engine. Real-time monitoring presents segmented P&L results by transaction group, TP function, partner, or IP owner, while forecasting harnesses historical or newly generated material/SKU-level data. Transfer price setting is streamlined via customizable multi-level approval workflows for single or bulk SKUs, and year-end adjustments automatically recalculate group ETR and align customs value.
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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. -
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Knowi
Knowi
Business Intelligence, AI & NLP for anyone to make data-driven decisions. Knowi instantly transforms any data into insights and data driven actions. No ETL. No ODBC drivers. You just connect your datasources and start building queries. Simple as that. Create blended datasets by joining data from NoSQL, SQL, REST-API, and even file-based sources in a matter of minutes. Click. Done. We've combined the power of AI and natural language queries to deliver a new self-service BI experience that makes it easier for anyone to find and expose new insights. Today's data is big and messy and located all over the place. To analyze modern data, you need an business intelligence solution that can instantly connect to any data, structured or unstructured, without the hassle and expense of moving or transforming it. Knowi is the only full stack analytics platform that natively integrates to all the popular NoSQL data stores, as well as relational and Cloud APIs sources. -
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Apache Drill
The Apache Software Foundation
Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage -
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Toad Data Point
Quest
Self-Service Data Preparation Tool. Toad® Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity and desktop data integration, and with the Workbook interface for business users, you get simple-to-use visual query building and workflow automation. Connect to a wide range of data sources, including SQL-based and NoSQL databases, ODBC, business intelligence sources, and Microsoft Excel or Access. Use a single tool for data profiling needs and get consistent results. Create a query without writing or editing SQL statements. Even for those familiar with SQL, the intuitive graphical user interface makes it easier to create relationships and visualize the query. Toad Data Point Professional lets each user choose between two different interfaces depending on their work. The traditional interface provides ultimate flexibility and a deep breadth of functionality. -
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HTMLy
HTMLy
HTMLy is an open source databaseless PHP blogging platform. A flat-file CMS that allows you to create a fast, secure, and powerful website or blog in seconds. HTMLy uses a unique algorithm to find or list any content based on date, type, category, tag, or author, and it's performance remain fast even if we have ten thousand of blog posts and hundreds of tags. As a flat-file CMS, HTMLy designed to run smoothly despite using minimal server specs. With 512MB of RAM or even less, it should can handle more than 20K posts without any issues. Simple but not simpler. Lot of built-in features to supercharge your blog. Menu builder, online update, content type, sitemap, RSS, and many more. You don't need to configure anything to start your blog. Download, install, and you're ready to go. Regarding performance, let's HTMLy handle it for you. -
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IRI NextForm
IRI, The CoSort Company
IRI NextForm converts and replicates database data and schema, and modernizes file formats and layouts so they can be used in new applications. NextForm also creates federated views to speed insights. NextForm also gives you the opportunity to cull data as you move it, optimizing I/O and reducing storage. Slash 75% off design and run time with point-and-click field mapping that help you control your data with ease. NextForm is one of several data management products front-ended in a free Eclipse IDE, and another metadata-compatible spinoff from the SortCL program in IRI CoSort, NextForm comes in several editions, including a FREE Lite version for converting field data types, record layouts, and many flat-file formats, and for creating basic reports from flat files.Starting Price: $3000 -
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WANdisco
WANdisco
Since 2010 we have seen Hadoop become an essential part of the data management landscape. Over the decade the majority of organizations have adopted Hadoop to build out their data lake infrastructure. However, while Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities. The systems required specialized IT skills and the on-premises environments lacked the flexibility to easily scale the systems up and down as usage demands changed. The management complexity and flexibility challenges associated with on-premises Hadoop environments are much more optimally addressed in the cloud. To minimize the risks and costs associated with these data modernization efforts, many companies have selected to automate their cloud data migration with WANdisco. LiveData Migrator is a fully self-service solution requiring no WANdisco expertise or services. -
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TURBOARD
TURBOARD
TURBOARD is a comprehensive business intelligence and data analytics tool that brings scattered business data together into unified, visual dashboards and reports with an intuitive drag-and-drop interface and conversational AI assistant to make analysis fast and accessible. It lets users connect to all major data sources, automatically transform raw data into clear charts, scorecards, and key performance indicators, and explore insights using built-in AI by asking questions in natural language. TURBOARD supports advanced analytics including predictive modeling, trend tracking, SQL-based expressions, extended filtering, what-if simulations, spreadsheet-like calculations, and geospatial visualization with interactive map layers. It also offers flexible export options, conditional formatting, customizable themes, and integration capabilities for embedding dashboards into external systems. -
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ZetaAnalytics
Halliburton
The ZetaAnalytics product requires a compatible database appliance for its Data Warehouse. Landmark has qualified the ZetaAnalytics software using Teradata, EMC Greenplum, and IBM Netezza. Please see the ZetaAnalytics Release Notes for the most up to date qualified versions. Before installing and configuring ZetaAnalytics software, ensure that the Data Warehouse you use for drilling data is created and running. Scripts to create the various Zeta-specific database components within the Data Warehouse will need to be run as part of the installation process. These require database administrator (DBA) rights. The ZetaAnalytics product requires Apache Hadoop for model scoring and real-time streaming. If you do not already have an Apache Hadoop cluster installed in your environment, please install it before running the ZetaAnalytics installer, which will prompt you for the name and port number of your Hadoop Name Server and Map Reducer. -
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Oracle Big Data Service
Oracle
Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters of all sizes, with VM shapes ranging from 1 OCPU to a dedicated bare metal environment. Customers choose between high-performance NVmE storage or cost-effective block storage, and can grow or shrink their clusters. Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively. Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support. Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.Starting Price: $0.1344 per hour -
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DBHawk
Datasparc
Using DBHawk, our customers were able to comply with GDPR, HIPAA, SOX, GLBA, and other regulations and were able to implement SOD. Self-Service BI & Ad-Hoc Reporting Tool with feature to define Data Access Policy, Connect to multiple Data sources, Build Powerful SQL Charts and data Dashboards. DBHawk SQL editor is an advanced editor that allows users to build, edit, and run database queries with a web-based interface. DBHawk Query Builder is supported with all major databases such as Oracle, Microsoft SQL Server, PostgreSQL, Greenplum, MySQL, DB2, Amazon Redshift, Hive, Amazon Athena. Database SQL tasks and batch job automation with a web-based centralized tool. Secure access to SQL, NoSQL and Cloud databases with our all-in-one data platform. Trusted by our customers to protect and access their data. Centralized Security, Auditing and insights about your user’s activities.Starting Price: $99.00/month/user -
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Canoe
Canoe Intelligence
First-of-its-kind AI technology powering the future of alternative investments. Canoe has reimagined the future of alternative investments with cloud-based, machine learning technology for document collection, data extraction and data science initiatives. We transform complex documents into actionable intelligence within seconds, and empower allocators with tools to unlock new efficiencies for their business. Systematically and consistently categorize, rename, and store documents in our cloud-based repository. Leverage AI and machine-learning based collective intelligence to identify, extract, and normalize data. Action hundreds of accounting, business and investment rules to ensure data accuracy. Seamlessly deliver data to any downstream system via API or compatible flat-file formats. Since 2013, our team of industry experts has been building and perfecting Canoe’s technology to transform the way alternative investors and allocators like you can access your data. -
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The proliferation of critical business data increases opportunities for insights and optimization, but it also increases the chance for errors. IBM® InfoSphere® Master Data Management provides comprehensive matching capabilities for reconciling data differences, giving you the most up-to-date and accurate view of data. It provides self-service access to a single, trusted, 360-degree view of your customers and processes so users can collaborate and innovate. Now you can experience the enterprise readiness of InfoSphere Master Data Management on an integrated, governed and security-rich data management and analytics platform, IBM Cloud Pak® for Data. Consolidate business data from across the enterprise in a highly accurate view. Capture master, transactional and Hadoop data in a more visual format for business user analysis. Attain a virtual golden profile of master data for a registry-style implementation.
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Halo
Halo
Halo is a robust, all-in-one-platform that combines automated data integration, visualization, and supply chain analytics, enabling organizations to grow, gain a competitive advantage, and increase customer satisfaction. With Halo, diverse internal and external data sources are consolidated into a single data warehouse, giving businesses the ability to quickly build their reports and link elements from each data source for more precise supply chain planning. Halo can be deployed on-premise, in the cloud, or in a hybrid environment. -
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Alibaba Cloud Data Integration
Alibaba
Alibaba Cloud Data Integration is a comprehensive data synchronization platform that facilitates both real-time and offline data exchange across various data sources, networks, and locations. It supports data synchronization between more than 400 pairs of disparate data sources, including RDS databases, semi-structured storage, non-structured storage (such as audio, video, and images), NoSQL databases, and big data storage. The platform also enables real-time data reading and writing between data sources such as Oracle, MySQL, and DataHub. Data Integration allows users to schedule offline tasks by setting specific trigger times, including year, month, day, hour, and minute, simplifying the configuration of periodic incremental data extraction. It integrates seamlessly with DataWorks data modeling, providing an operations and maintenance integrated workflow. The platform leverages the computing capability of Hadoop clusters to synchronize HDFS data to MaxCompute. -
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Massive
Massive
Massive is a market-data infrastructure platform built to provide real-time and historical financial data to developers, startups, and trading firms. It delivers institutional-grade market data across stocks, options, indices, currencies, and futures, all via a streamlined API, WebSocket, flat-file S3 access, or SQL query interface. The platform emphasizes low latency, direct connectivity to major exchanges (NYSE, NASDAQ, CBOE, OTC), and data normalization to eliminate survivorship bias and outdated pipelines. Massive positions itself as “modernizing Wall Street” by removing legacy bottlenecks and providing the same quality of market data typically reserved for large institutions, but now accessible to any app builder. The platform also includes extensive documentation, client libraries in Python, JavaScript, Go, and Java, tutorials, and example projects to accelerate integration.Starting Price: $29 per month -
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nChannel
nChannel
Use nChannel’s integration tools to sync data and automate processes between your eCommerce, ERP, POS & 3PL Systems. Integrate your systems and eliminate manual data entry between your eCommerce, POS, ERP and 3PL systems. nChannel is a cloud-based SaaS software that sits between your numerous endpoint systems. Our pre-built and configurable integration solutions connect your existing systems via open APIs or SFTP (flat-file) to sync data and automate business processes. Learn more about how we integrate your systems. Increase operational efficiency by reducing data processing time and eliminating costly data errors Power consistent customer experiences to drive revenue and build confidence to expand to new sales channelsStarting Price: $350 per month -
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E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
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Talend Pipeline Designer is a web-based self-service application that takes raw data and makes it analytics-ready. Compose reusable pipelines to extract, improve, and transform data from almost any source, then pass it to your choice of data warehouse destinations, where it can serve as the basis for the dashboards that power your business insights. Build and deploy data pipelines in less time. Design and preview, in batch or streaming, directly in your web browser with an easy, visual UI. Scale with native support for the latest hybrid and multi-cloud technologies, and improve productivity with real-time development and debugging. Live preview lets you instantly and visually diagnose issues with your data. Make better decisions faster with dataset documentation, quality proofing, and promotion. Transform data and improve data quality with built-in functions applied across batch or streaming pipelines, turning data health into an effortless, automated discipline.
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Metadome.ai Virtual Trial Room
Metadome.ai
Improve Retail Sales With An AI-driven Virtual Try On. From the In-store Magic Mirror to the online Virtual Try-On, turn browsers into buyers with the most cost-effective, scalable, and customer-centric beauty platform for e-commerce brands. Give your customers an experience that sets the standard for immersive, personalized, Virtual Cosmetic Try On by simply turning their cameras into a beauty store. Delivers hyper-realistic visualization and accurate material matching to shoppers with real-time interaction. -
41
Google Cloud Bigtable
Google
Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started. -
42
Flexmonster Pivot Table
Flexmonster
Flexmonster Pivot is a feature-rich JavaScript library for web reporting. The component connects to any data source and perfectly visualizes data from MongoDB, Elasticsearch, OLAP cubes, SQL, NoSQL databases, or JSON / CSV files up to 1GB. This web component works seamlessly with any technology stack and integrates perfectly with Angular, React, Vue, Blazor, Flutter, and more. With Flexmonster, you have no limitation on server-side technology, no matter whether your website runs on .NET, Java, PHP, Ruby, etc. Flexmonster Pivot Table & Charts provides Excel-like features that help users create clear reports from complex data and get valuable insight. You can work with massive datasets and experience fast grid rendering and smooth scrolling even with over a million rows of data without delays. It’s a ready-made solution for web developers that ensures detailed information and effective customer support.Starting Price: from $799 -
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Peaka
Peaka
Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.Starting Price: $1 per month -
44
FiO iCRM
Ai-Intelekt Inc
iCRM helps businesses and retailers become more customer-centric, as they can determine their customers’ demands and wishes. Retail is a fast-paced industry where trends are born, profits can increase, and consumers are looking for the next big must-have, which makes understanding retail analytics very valuable. Gain a deeper understanding of your customer's experience with your brand today! Using our iCRM algorithms, retail businesses can run targeted segmented marketing campaigns based on specific customer characteristics like region, preferences, gender, purchasing habits, and more. The results will improve customer loyalty and retention. The customer data platform is a marketer-managed platform that stores, connects, and combines customer data from website interaction, purchases, engagement, attributes, and market data. Intelligently determine the channels that yield the highest likelihood of engagement which will increase your ROI. -
45
Karl
Kanerika
Karl is an AI agent that answers business questions in plain language from your existing data — no SQL, no Python, no analyst required. Ask in natural language and get back charts, forecasts, and reports in seconds. Karl connects to SQL, NoSQL, cloud data lakes, and real-time streams. It delivers insights directly inside Microsoft Teams, Power BI, and Microsoft Fabric. Every answer is governed, source-traced, and grounded in your metadata and lineage layer. Pre-built analytics agents for manufacturing, retail, and banking cut deployment from months to weeks. Also available as a native Microsoft Fabric workload.Starting Price: $10,000 -
46
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. -
47
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 -
48
Nevron Vision for SharePoint
Nevron Software
Nevron Vision for SharePoint delivers the essential data visualization web parts that easily integrate inside any SharePoint page. The web parts in the suite are configured visually through a web-based designer interface. This makes it very easy to take advantage of the flexibility and feature richness these web parts offer. The web parts included in this suite can extract data from a diverse range of data sources including a variety of databases as well as SharePoint-specific data sources like SP Lists, SP Site Queries, Excel Services, BDC, and others. They are also equipped with a fast, reliable, and flexible data aggregation engine, which allows the authoring of complex dashboards and reports that perform data analysis. From advanced charts, gauges, and KPIs to sophisticated drill-down reports and dashboards – this suite of web parts delivers the absolute best in data visualization to all versions of SharePoint.Starting Price: $2299.00 -
49
Adoki
Adastra
Adoki streamlines data transfers to and from any platform or system—whether it's a data warehouse, database, cloud service, Hadoop platform, or streaming application—on both one-time and recurring schedules. It adapts to your IT infrastructure's workload, adjusting transfer or replication processes to optimal times when needed. With centralized management and monitoring of data transfers, Adoki allows you to handle your data operations with a smaller, more efficient team. -
50
Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
