Alternatives to OLake Go
Compare OLake Go alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to OLake Go in 2026. Compare features, ratings, user reviews, pricing, and more from OLake Go competitors and alternatives in order to make an informed decision for your business.
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Fivetran
Fivetran
Fivetran is a leading data integration platform that centralizes an organization’s data from various sources to enable modern data infrastructure and drive innovation. It offers over 700 fully managed connectors to move data automatically, reliably, and securely from SaaS applications, databases, ERPs, and files to data warehouses and lakes. The platform supports real-time data syncs and scalable pipelines that fit evolving business needs. Trusted by global enterprises like Dropbox, JetBlue, and Pfizer, Fivetran helps accelerate analytics, AI workflows, and cloud migrations. It features robust security certifications including SOC 1 & 2, GDPR, HIPAA, and ISO 27001. Fivetran provides an easy-to-use, customizable platform that reduces engineering time and enables faster insights. -
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OLake Fusion
Datazip
OLake Fusion is a self-hosted application for maintaining Apache Iceberg tables in data lakehouses. It automates scheduled table compaction, merging small data files and converting delete files to improve table layout as data is continuously ingested, updated, or deleted. Users can configure maintenance at the table level and schedule Lite, Medium, and Full compaction tiers, review table health and file metrics, and track maintenance runs and logs through a web UI. Fusion connects to Iceberg catalogs, including AWS Glue, Hive Metastore, JDBC, and REST-based catalog implementations such as Nessie, Polaris, Unity Catalog, and Lakekeeper, and can maintain tables created outside OLake. It is deployed on Docker or Kubernetes in a team's cloud or on-premises environment, and is designed for data engineers and platform teams operating analytical lakehouses with Apache Iceberg.Starting Price: $0 -
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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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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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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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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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TROCCO
primeNumber Inc
TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing. -
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Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures. -
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SiteWhere
SiteWhere
SiteWhere infrastructure and microservices are deployed on Kubernetes, allowing for deployment on-premise or almost any cloud provider. Highly-available configurations of Apache Kafka, Zookeeper, and Hashicorp Consul provide infrastructure. Each microservice scales independently and integrates automatically. Complete multitenant IoT ecosystem including device management, event ingestion, big data event storage, REST APIs, data integration, and much more. Distributed architecture built with Java microservices running on Docker infrastructure with Apache Kafka processing pipeline. SiteWhere CE will always be open source and free for private as well as commercial use. The SiteWhere team offers free basic support and a steady stream of new features. -
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Qlik Replicate
Qlik
Qlik Replicate is a high-performance data replication tool offering optimized data ingestion from a broad array of data sources and platforms and seamless integration with all major big data analytics platforms. Replicate supports bulk replication as well as real-time incremental replication using CDC (change data capture). Our unique zero-footprint architecture eliminates unnecessary overhead on your mission-critical systems and facilitates zero-downtime data migrations and database upgrades. Database replication enables you to move or consolidate data from a production database to a newer version of the database, another type of computing environment, or an alternative database management system, to migrate data from SQL Server to Oracle, for example. Data replication can be used to offload production data from a database, and load it to operational data stores or data warehouses for reporting or analytics. -
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Azure Database Migration Service
Microsoft
Easily migrate your data, schema, and objects from multiple sources to the cloud at scale. Azure Database Migration Service is a tool that helps you simplify, guide, and automate your database migration to Azure. Migrate your database and server objects, including user accounts, agent jobs, and SQL Server Integration Services (SSIS) packages all at once. Migrate your data to Azure from the most common database management systems. Whether you’re moving from an on-premises database or another cloud, Database Migration Service supports key migration scenarios such as SQL Server, MySQL, PostgreSQL, and MongoDB. Save time and effort by automating your move to Azure with PowerShell. Database Migration Service works with PowerShell cmdlets to automatically migrate a list of databases. Supports Microsoft SQL Server, MySQL, PostgreSQL, and MongoDB migration to Azure from on-premises and other clouds. -
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Altinity
Altinity
Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses. -
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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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Equalum
Equalum
Equalum’s continuous data integration & streaming platform is the only solution that natively supports real-time, batch, and ETL use cases under one, unified platform with zero coding required. Make the move to real-time with a fully orchestrated, drag-and-drop, no-code UI. Experience rapid deployment, powerful transformations, and scalable streaming data pipelines in minutes. Multi-modal, robust, and scalable CDC enabling real-time streaming and data replication. Tuned for best-in-class performance no matter the source. The power of open-source big data frameworks, without the hassle. Equalum harnesses the scalability of open-source data frameworks such as Apache Spark and Kafka in the Platform engine to dramatically improve the performance of streaming and batch data processes. Organizations can increase data volumes while improving performance and minimizing system impact using this best-in-class infrastructure. -
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SimpleBackups
SimpleBackups
SimpleBackups is an all-in-one website & database backup automation service. With extensive support to databases like: MySQL, MongoDB and PostgreSQL, and many cloud storage options to securely dump and store backups to including Amazon S3, Google Cloud Storage, DigitalOcean Spaces, Backblaze, Wasabi, Dropbox, Filebase, etc. SimpleBackups simplifies the website & database backups process. It detects failures and notifies you when backups fail or when they are expected to fail. It also fully automates the backup creation process by using the automation features and the API. We cater to developers, startups, and web agencies, with the option to start for free.Starting Price: Free -
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SafeGrd
SafeGrd
SafeGrd is a backup and recovery verification service for teams protecting databases, files and email. It backs up PostgreSQL, MySQL and MongoDB databases, file trees and IMAP mailboxes, encrypting backup data on the host before sending it to an S3-compatible bucket or SafeGrd-hosted storage. Backups can use S3 Object Lock retention. SafeGrd schedules Fire Drills that restore a backup into a disposable environment, check database tables and rows, and record signed results for operational review or audit evidence. Teams can run its CLI and agent on Linux or macOS hosts, in Docker or Kubernetes, or in GitHub Actions; managed databases can also be backed up from a connection string. A web console organizes protected systems and monitors backup and drill status. Plans offer different schedules, storage allowances and restore-test frequencies, including a free tier and paid plans.Starting Price: $15/month -
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VeloDB
VeloDB
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools. -
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VisuaLeaf
SozoCode Inc.
VisuaLeaf is a cross-platform database GUI for MongoDB, PostgreSQL, MySQL, SQL Server, and Oracle. It helps developers explore and edit data, build queries and MongoDB aggregation pipelines visually, create and reverse-engineer schema diagrams, manage indexes, analyze query performance, and work with an integrated MongoDB shell and SQL editor. VisuaLeaf also includes collection comparison, data synchronization, task automation, data masking, import and export tools, charts, dashboards, user management, and secure SSH and SOCKS5 connections. It is available for Windows, macOS, and Linux.Starting Price: $79 one-time -
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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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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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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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RagLeap
RagLeap
RagLeap is a self-hosted AI business platform providing 9 AI roles — AI Manager, Customer Support, Voice Agent, Email Manager, Personal Secretary, DB Analyst and AI COO in one system. Runs on your own server with complete data privacy. Connects to MySQL, PostgreSQL, MongoDB. Handles WhatsApp, Telegram, Voice calls, Email and web chat in 222+ languages. Free self-hosted tier available. Cloud plans from $29/month.Starting Price: $0 -
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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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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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Amazon MSK
Amazon
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.Starting Price: $0.0543 per hour -
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PeerDB
PeerDB
If Postgres is at the core of your business and is a major source of data, PeerDB provides a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses, queues, and storage. Designed to run at any scale, and tailored for data stores. PeerDB uses replication messages from the Postgres replication slot to replay the schema messages. Alerts for slot growth and connections. Native support for Postgres toast columns and large JSONB columns for IoT. Optimized query design to reduce warehouse costs; particularly useful for Snowflake and BigQuery. Support for partitioned tables via both publish. Blazing fast and consistent initial load by transaction snapshotting and CTID scans. High-availability, in-place upgrades, autoscaling, advance logs, metrics and monitoring dashboards, burstable instance types, and suitable for dev environments.Starting Price: $250 per month -
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Presto
Presto Foundation
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. For data engineers who struggle with managing multiple query languages and interfaces to siloed databases and storage, Presto is the fast and reliable engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Different engines for different workloads means you will have to re-platform down the road. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together. -
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UnderPeaks
UnderPeaks
UnderPeaks is a developer-first headless CMS that generates production-ready Flutter and Next.js applications from a single content model. Founders define their data model once, and UnderPeaks generates real, readable source code for both a mobile app and a web app from that same schema. The platform supports five database backends — Supabase, PostgreSQL, MySQL, MongoDB, and Firebase — through a unified adapter layer, avoiding vendor lock-in. UnderPeaks is available as UnderPeaks Core, a free, open-source, self-hosted option, and as UnderPeaks Studio, a managed hosted platform. UnderPeaks is built by a solo founder based in George, South Africa, for developers and agencies building both mobile and web applications from the same underlying data.Starting Price: $18/month -
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Xitoring
Xitoring
Xitoring is an all-in-one monitoring platform for servers, websites, and status pages. One command installs the Xitogent agent (curl on Linux, MSI on Windows), auto-discovering 30+ services: Nginx, Apache, IIS, MySQL, PostgreSQL, MongoDB, Redis, Docker, RabbitMQ, Kafka, and more. Monitor CPU, memory, disk I/O, network, and processes, plus uptime checks (HTTP(S), Ping, DNS, TCP, UDP, API, Mail, Heartbeat, Cron) at 1-minute intervals from 15+ global probing nodes. SSL monitoring included. Alerts via 20+ channels: email, SMS, phone call, WhatsApp, Telegram, Slack, Teams, PagerDuty, Opsgenie, webhooks, and more. Built-in AIOps answers plain-English questions about your metrics and incidents. The Xitoring MCP server lets Claude, Cursor, or any AI agent read metrics, ack alerts, and manage monitors. Plus white-label status pages, incident management, REST API, and iOS/Android apps. Free forever: 2 servers + 8 uptime checks. Paid from $4.99/mo, flat pricing, 30-day trial.Starting Price: $4.99 OR Lifetime free -
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Orbit by Noveum
Noveum
Orbit by Noveum is a free, open-source task manager for people and AI agents. It brings realtime issues, boards, sprints, projects, documents and files into shared workspaces, with keyboard-first navigation. Use the hosted application or self-host the Apache-2.0 application with Docker, PostgreSQL, Redis and S3-compatible storage. AI clients connect to its remote MCP server using Streamable HTTP and workspace-scoped OAuth. Users sign in to Orbit and approve access; no API key is required. The complete application source and MCP client connection manifests are publicly available on GitHub.Starting Price: $0 -
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Postgresus
Postgresus
Postgresus is a free, open source and self-hosted tool to backup PostgreSQL. Make backups with different storages (S3, Google Drive, FTP, etc.) and notifications about progress (Slack, Discord, Telegram, etc.) Key features: - Scheduled backups for multiple PostgreSQL databases - Storage targets: local disk, S3, Cloudflare R2, Google Drive, Azure Blob, NAS, etc. - Notifications about backup status via email, Telegram, Slack, Discord, MS Teams and customizable webhooks - Works with both self-hosted PostgreSQL and managed services (RDS, Cloud SQL, Azure Database for PostgreSQL, etc.) - Runs as a single Docker container or via Helm on Kubernetes; can also be installed via a shell script - Team management with different workspaces, RBAC and audit logs - Encryption for secrets and backup filesStarting Price: $0 -
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Easypanel
Easypanel
Easypanel is a next-generation server control panel powered by Docker, built to deploy applications, manage databases, and provision SSL certificates through an intuitive interface. Unlike many other panels, Easypanel can run any application, creating Docker images for Node.js, Ruby, Python, PHP, Go, and Java apps using Heroku Buildpacks, while still allowing users to bring their own Dockerfile when they need greater control. Developers can push to GitHub and let Easypanel get the code, build it, and deploy it automatically, with support for zero-downtime deployments so updates happen seamlessly without interruptions for users. It also supports Cloud Native Buildpacks, Paketo Buildpacks, Nixpacks, and Dockerfile-based builds, giving teams several ways to turn source code into Docker images. Databases are first-class citizens in Easypanel, with support for MySQL, PostgreSQL, MongoDB, and Redis, plus web-based tools to inspect logs or connect to the database CLI. -
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azerioid
azerioid
azerioid Stack Manager is a self-hosted server control panel built entirely in Laravel and Livewire. One command bootstraps the panel itself (Caddy + PHP + SQLite), then everything else — web servers (Caddy, Apache, Nginx), databases (MariaDB, PostgreSQL, MongoDB), Redis, Node.js, and background process management via Supervisor — is installed on demand from the dashboard, no third-party base stack required. Each virtual host can independently run a different web server engine behind a single Caddy front door, with automatic Let's Encrypt HTTPS, a scoped web terminal and file manager per site, per-database remote-access control, and a full CLI with feature parity to the UI. It's been verified end-to-end on Ubuntu, Debian, and Enterprise Linux (with SELinux enforcing) across real servers.Starting Price: $0 -
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Matia
Matia
Matia is a unified DataOps platform designed to simplify modern data management by combining multiple core functions into a single, integrated system. It brings together ETL, reverse ETL, data observability, and a data catalog, eliminating the need for multiple disconnected tools and reducing the complexity of managing fragmented data stacks. It enables teams to move data quickly and reliably from various sources into data warehouses using advanced ingestion capabilities, including real-time updates and error handling, while also allowing them to push trusted data back into operational tools for business use. Matia emphasizes built-in observability at every stage of the data pipeline, providing monitoring, anomaly detection, and automated quality checks to ensure data accuracy and reliability before issues impact downstream systems. -
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Navicat Premium
Navicat
Navicat Premium is a database development tool that allows you to simultaneously connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases from a single application. Compatible with cloud databases like Amazon RDS, Amazon Aurora, Amazon Redshift, Microsoft Azure, Oracle Cloud, Google Cloud and MongoDB Atlas. You can quickly and easily build, manage and maintain your databases. Data Transfer, Data Synchronization and Structure Synchronization help you migrate your data easier and faster for less overhead. Deliver detailed, step-by-step guidelines for transferring data across various DBMS. Compare and synchronize databases with Data and Structure Synchronization. Set up and deploy the comparisons in seconds, and get the detailed script to specify the changes you want to execute.Starting Price: $64.99 per month -
36
TIBCO Streaming
TIBCO
TIBCO Streaming is a real-time analytics platform designed to process and analyze high-velocity data streams, enabling organizations to make immediate, data-driven decisions. It offers a low-code development environment through StreamBase Studio, allowing users to build complex event processing applications with minimal coding. It supports over 150 connectors, including APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, facilitating seamless integration with various data sources. TIBCO Streaming incorporates dynamic learning operators, enabling adaptive machine learning models that provide contextual insights and automate decision-making processes. It also features real-time business intelligence capabilities, allowing users to visualize live data alongside historical information for comprehensive analysis. It is cloud-ready, supporting deployments on AWS, Azure, GCP, and on-premises environments. -
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rudol
rudol
Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.Starting Price: $0 -
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DBeaver Community
DBeaver Corp.
DBeaver Community is a free, open-source database management tool recommended for personal projects. Manage and explore SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more. Connect to popular SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, etc.) SQL editor to create queries with syntax highlighting and autocompletion AI assistant in SQL for building queries through natural language SSL/TLS support for encrypted connections SSH tunneling for secure remote access Proxy configuration to work with databases behind a corporate firewall Session Manager to terminate, disconnect, view and search for sessions Lock Manager to monitor and manage database locks Entity Relationship Diagrams to interactively explore and visualize database structure Query manager to view all executed queries, including execution time, duration, affected rows, and errors. Data editor to view, edit, and filter dataStarting Price: $11/month -
39
Predibase
Predibase
Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want. -
40
HighAvailabilityData
NUTRADELIS
HighAvailabilityData is self-hosted software for deploying and operating high-availability database clusters. It provides a web console for PostgreSQL, MySQL, MariaDB Galera, MongoDB, Redis, Valkey and ClickHouse environments, with automatic failover, agentless monitoring, topology and cluster health views, alerts, backups and point-in-time recovery. Administrators can manage deployments, import existing clusters, perform switchovers and rolling restarts, review query and per-user workload activity, and inspect an audit log. The product supports REST API access, Prometheus metrics and LDAP or Active Directory authentication. It is designed for database administrators and systems teams who manage production database infrastructure on their own servers. The core console is available without a license fee; paid plans cover optional technical support.Starting Price: Free -
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Apache DataFusion
Apache Software Foundation
Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.Starting Price: Free -
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PrestoAPI
PrestoAPI
Eliminate the need for back-end development. Easily connect to your database using the connection string or server address. Customize your API methods by choosing the data to create, read, update, or delete. Presto! Your API is ready for use by your front-end development team. No back-end necessary. PrestoAPI currently supports SQL Server, MySQL, PostgreSQL, MongoDB, and Oracle database systems. Assign roles to users throughout the application or to specific projects. PrestoAPI is secured through Identity Server, OAuth 2.0, and Active Directory.Starting Price: $49 per month -
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LaunchFast
LaunchFast
LaunchFast offers comprehensive SaaS starter kits for Astro, Next.js, and SvelteKit, designed to expedite project launches by integrating essential features such as SEO, analytics, authentication, payments, and email functionalities. These kits support various databases, including MongoDB, Firestore, PostgreSQL, Redis, and SQLite, providing flexibility in data management. They also facilitate seamless file and document storage through services like AWS S3, Cloudflare R2, Firebase Storage, and Supabase Storage. User authentication is streamlined with support for email/password logins, OAuth 2.0, password resets, and email verification, along with social logins from platforms like Google, Facebook, and GitHub. For billing and payments, the kits integrate with Stripe and LemonSqueezy, enabling global transactions with tax compliance. Content management is enhanced through dynamic blog pages and responsive documentation, utilizing Markdown and MDX.Starting Price: $99 per month -
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Syniti Data Replication
Syniti
Syniti Data Replication (formerly DBMoto) software makes it easy to implement heterogeneous Data Replication, Change Data Capture, and Data Transformation capabilities — without the need for consulting services. Deploy and run powerful data replication features through an easy to use GUI and wizard-based screens — no stored procedures to develop, no proprietary syntax to learn, and no programming on the source or target database platforms. Accelerate data ingestion from multiple database systems and seamlessly move it to your preferred cloud solution (Google, AWS, Microsoft Azure, SAP Cloud, and more) without impacting your on-premises operations. Source- and target-agnostic software can replicate all selected data as a snapshot to streamline your data migration. Available as a stand-alone solution, a cloud-based offering from Amazon Web Services (AWS) Marketplace, or included in your Syniti Knowledge Platform subscription, SDR can tackle your most important integrations. -
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StorCentric Data Mobility Suite
StorCentric
StorCentric Data Mobility Suite (DMS), an all-inclusive software solution, empowers organizations to seamlessly move data where it needs to be. DMS is a cloud-enabled solution that supports data migration, data replication, and data synchronization across mixed environments including disk, tape, and cloud to maximize ROI by eliminating data silos. DMS supports vendor-agnostic file replications and synchronization and is easily deployed and managed on a non-proprietary server. DMS can transfer millions of files simultaneously and protects data in transit to and from the cloud with SSL encryption. DMS streamlines point-to-point data movement and tackles data flow requirements from any storage platform to another. Fine-grained filtering and continuous incremental updates alleviate the challenges of moving and consolidating data across heterogeneous environments. DMS enables files to be synchronized across multiple storage repositories, including disk and tape. -
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Rocket Data Replicate & Sync
Rocket Software
Rocket® Data Replicate and Sync (RDRS) provides high performance, sub-second change data capture (CDC) and bidirectional replication across mainframe, distributed, and cloud environments. It supports a broad set of enterprise sources and modern cloud targets, automatically capturing and applying data changes while adapting formats for each destination. The platform incorporates enterprise-grade encryption, secure connectivity such as site-to-site VPN and SAF controls, and built-in recovery and rollback to maintain data integrity across hybrid environments. By offloading data transformations to cloud compute, RDRS helps reduce mainframe CPU consumption while ensuring analytics, AI/ML, and operational applications receive current data. Supported sources include Db2, VSAM, IMS, Adabas, and Datacom, with delivery to targets such as Kafka, Snowflake, AWS, and Azure—without custom code or operational disruption. -
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Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
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Airy Messenger
Airy
From Conversational AI assistants to customer service experiences, own your own conversational platform with open-source Airy. Airy Core is an open source, fully-featured, production-ready conversational platform. With Airy you can process conversational data from a variety of sources. Since Airy's infrastructure is built around Apache Kafka, it can process a large amount of conversations and messages simultaneously and stream the relevant conversational data to wherever you need it. Connect anything from our free open-source live chat plugin to Facebook Messenger & Google's Business Messages to your Airy Core. This is all possible through an ingestion platform that heavily relies on Apache Kafka to process incoming webhook data from different sources. We make sense of the data and reshape it into source-independent contacts, conversations, and messages. -
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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. -
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LibreSpeed
LibreSpeed
Self-hosted Speedtest for HTML5 and more. Easy setup, examples, configurable, mobile-friendly. Supports PHP, Node, multiple servers, and more. This is a very lightweight Speedtest implemented in Javascript, using XMLHttpRequest and Web Workers. All modern browsers are supported, IE11, latest Edge, latest Chrome, latest Firefox, latest Safari. Works with mobile versions too. A reasonably fast webserver with Apache 2 (Nginx, IIS also supported). PHP 5.4 (other backends also available), MySQL database to store test results (optional, PostgreSQL and SQLite also supported), and a fast internet connection. A template to build an Android client for your LibreSpeed installation is available. A docker image is available on the Docker Hub. A partial Node.js implementation is available in the node branch. IP Address, ISP, distance from the server (optional), telemetry (optional), results sharing (optional), and multiple points of the test (optional).
