Open Source Database Software - Page 5
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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H2 Database
H2 is an embeddable RDBMS written in Java
Welcome to H2, the Java SQL database. Very fast, open source, JDBC API. Embedded and server modes; in-memory databases. Browser-based Console application. Small footprint: around 2.5 MB jar file size. Browser-based Console application. Encrypted databases. Fulltext search. Pure Java with small footprint: around 2.5 MB jar file size. ODBC driver. This database can be used in embedded mode, or in server mode. ou may get a security warning from the firewall. If you don't want other computers in the network to access the database on your machine, you can let the firewall block these connections. Only local connections are required at this time. -
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NocoDB
Open Source Airtable Alternative
NocoDB is an open source #NoCode platform that turns any database into a smart spreadsheet. It is free & self-hostable. Let your imagination be thy limit. Create unlimited grid view, gallery view, form view from your own data. Search, sort, filter columns and rows with ultra ease. Collaborate just like spreadsheets. Invite your team with fine-grained Access Control. Share views publicly and also with password protection. Build automation with you favorite apps: Microsoft Teams Slack, Discord, Whatsapp, Twilio, Email & SMS. -
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Free, open source Computer Aided Dispatch for volunteer fire departments, ARES/RACES, CERT teams, EMS, search & rescue, and campus security. 30+ years of real-world use. Zero cost. Self-hosted.
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Apache Impala
Apache Impala
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. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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AriaNg
A modern web frontend making aria2 easier to use
AriaNg is a modern web frontend making aria2 easier to use. AriaNg is written in pure html & javascript, thus it does not need any compilers or runtime environment. You can just put AriaNg in your web server and open it in your browser. AriaNg uses responsive layout, and supports any desktop or mobile devices. Sort tasks (by name, size, progress, remaining time, download speed, etc.), files, bittorrent peers. Search tasks, and retry tasks. Adjust task order by dragging. More information of tasks (health percentage, client information of bt peers, etc.). Filter files by specified file types (videos, audios, pictures, documents, applications, archives, etc.) or file extensions. Tree view for multi-directory task. Download / upload speed chart for aria2 or single task. Full support for aria2 settings. Less bandwidth usage, only requesting incremental data. -
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DB Designer Fork is a fork of the fabFORCE DBDesigner 4. It integrates entity relationship design,front-end (you can run queries) and SQL exporting.DB Designer Fork generates SQL scripts for Oracle, SQL Server, MySQL, FireBird, SQLite and PostgreSQL. A port to FPC/Lazarus is currently in progress at: https://github.com/joaopauloschuler/dbdesigner-fork
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Home Assistant Frontend
Frontend for Home Assistant
Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Frontend for Home Assistant. This is the repository for the official Home Assistant frontend. Once you have integrated all your devices at home, you can unleash Home Assistant’s advanced automation engine to make your home work for you. Home Assistant integrates with over a thousand different devices and services. Once started, Home Assistant will automatically scan your network for known devices and allow you to easily set them up. Home Assistant is not just limited to Home Assistant. Easily install other applications that will help you manage your home. Home Assistant keeps your data local, no need for a cloud. Home Assistant communicates with your devices locally, and will fallback to pulling in data from the cloud if there is no other option. -
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Jenkins Docker
Docker jenkins repo
The Jenkins Continuous Integration and Delivery server available on Docker Hub. The leading open source automation server, Jenkins provides hundreds of plugins to support building, deploying and automating any project. If you bind mount in a volume, you can simply back up that directory (which is jenkins_home) at any time. This is highly recommended. Treat the jenkins_home directory as you would a database, in Docker you would generally put a database on a volume. If your volume is inside a container, you can use a Docker command to extract the data, or other options to find where the volume data is. Note that some symlinks on some OSes may be converted to copies (this can confuse jenkins with lastStableBuild links etc). You can define the number of executors on the Jenkins built-in node using a groovy script. By default it is set to 2 executors, but you can extend the image and change it to your desired number of executors. -
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MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. MatrixOne introduces a global, high-performance distributed transaction protocol across storage engines. Seamless and non-disruptive scaling by disaggregated storage and compute. -
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PLpgSQL Check
plpgsql_check is a linter tool (does source code static analyze)
plpgsql_check is a PostgreSQL extension for static analysis and runtime checking of PL/pgSQL functions. It helps developers catch bugs early by analyzing code structure, variable usage, and SQL correctness before execution. The extension is ideal for improving code quality in large Postgres-based applications. -
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TDengine
Open-source time-series database with high-performance and scalability
Enables efficient, real-time data ingestion, processing and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine can be widely applied to IoT, Industrial Internet, Connected Vehicles, DevOps, Energy , Finance and many other use-cases. TDengine’s innovative design and purpose-built storage engine outperforms other time-series databases for data ingestion, querying and data compression while significantly reducing storage and computing costs. TDengine’s native distributed architecture powers out-of-the-box scalability and high availability. Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source. TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion. -
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Vitess
Vitess is a database clustering system for horizontal scaling of MySQL
Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. With Vitess, you can even split and merge shards as your needs grow, with an atomic cutover step that takes only a few seconds. Vitess has been a core component of YouTube's database infrastructure since 2011, and has grown to encompass tens of thousands of MySQL nodes. -
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directus
Directus wraps any SQL database with a real-time GraphQL+REST API
With over 18 million downloads, Directus is the world's first Open Data Platform for instantly turning any SQL database into an API and beautiful no-code app. Power any project with a modern, open-source data platform. A modern data platform, designed for developers. Our modular codebase is 100% JavaScript, leveraging the power of Node.js and Vue.js 3 for blazing performance and easy extensibility. You remain in complete control of your new or existing database. No need to migrate to a proprietary data model, so there's no vendor lock-in. Directus is the world's leading Open Data Platform, with millions of downloads, thousands of active developers, and we're just getting warmed up. Start with a new or existing database, using any SQL vendor, Directus takes care of the rest. The Directus API layers on top of your database, providing both REST and GraphQL APIs for your data. -
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pg_cron
Run periodic jobs in PostgreSQL
pg_cron is a PostgreSQL extension that allows SQL jobs to be scheduled using cron syntax. It runs inside the database server and lets users automate routine tasks like VACUUM, backups, and custom SQL scripts. Jobs are managed via SQL commands and can run on the same schedule format as standard UNIX cron, making it powerful and easy to use for database administrators and developers alike. -
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XML Editor/Validator/Designer with CAMV
CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle
The CAM editor is the leading open source XML Editor/Validation/Schema toolset for rapidly building / deploying XML /JSON /Hibernate /SQL data /Forms applications. Visual WYSIWYG data design, rule entry wizards + drag & drop dictionary components. Will import, analyze / refactor from XML Schema / JSON. Oracle is a proud enterprise sponsor; with NIEM.gov support. Do SQL data import/map+ Open Data API delivery+ Hibernate JPA + UI Forms/Pencil Makes XSD schema (default, flatten, NIEM, & OASIS modes) + JAXB bindings; Mindmap FreeMind or UML models(XMI); XML unit test & live SQL data; HTML docs + spreadsheets (NIEM IEPDs). Canonical component dictionaries from schema sets, SQL, JSON, ERwin XSD, or spreadsheets. The XML CAM templates (OASIS standard) store the exchange structure, content model, code lists, DBMappings, SQL lookups+business rules (XPath). Java CAMV XML/JSON validation engine is a complete exchange test framework [XMLUnit, TEAM(Schematron)]. Java/Eclipse +Saxon/XSL -
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TOra is a Toolkit for Oracle which aims to help the DBA or developer of database applications. Features PL/SQL debugger, SQL worksheet with syntax highlighting, DB browser and a full set of DBA tools. TOra also includes support for MySQL and Postgres.
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OceanBase seekdb
The AI-Native Search Database
seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the database layer, including embedding generation, reranking, and LLM inference for end-to-end RAG pipelines. Built on the OceanBase engine, it maintains ACID compliance and MySQL compatibility while delivering real-time analytical performance. Overall, seekdb positions itself as a unified data foundation for next-generation AI applications that require both transactional and semantic retrieval capabilities. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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GridSQL is an open source shared-nothing clustered database system for data warehousing designed for PostgreSQL. GridSQL includes intelligence to parallelize over multiple servers for achieving faster query response times.
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ClosedXML
A .NET library for reading, manipulating and writing Excel
ClosedXML is a .NET library for creating and manipulating Excel files without requiring Microsoft Excel, designed for easy integration and performance. -
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Enferno
Modern Flask framework optimized for AI-assisted development
Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics. -
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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what type of companies or ETFs are available is incredibly challenging with there being millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else is out there is often unknown. This database tries to solve that. It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor. -
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MongoDB C Driver
The Official MongoDB driver for C language
The MongoDB C Driver is the official client library for MongoDB, enabling C and C++ applications to interact with MongoDB databases efficiently. It provides a robust and scalable interface for building applications that require document-based data storage. -
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RisingWave
RisingWave: the next-generation streaming database in the cloud
RisingWave is a cloud-native streaming database that uses SQL as the interface. It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs continuous queries, and updates results dynamically. As a database system, RisingWave maintains results in its own storage so that users can access data efficiently. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and materialized CDC sources. Everything you do in RisingWave is via Postgres-compatible SQL. Create materialized views for the data that need to be incrementally aggregated. Query for data in RisingWave, including persisted data and data you add or import to RisingWave. RisingWave makes it easy to manage streams and data. All you need to interact with RisingWave is Postgres-compatible SQL. No Java or Scala codes are needed. -
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SpeechRecognition
Speech recognition module for Python
Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using pip install SpeechRecognition. The first software requirement is Python 2.6, 2.7, or Python 3.3+. This is required to use the library. PyAudio is required if and only if you want to use microphone input (Microphone). PyAudio version 0.2.11+ is required, as earlier versions have known memory management bugs when recording from microphones in certain situations. To hack on this library, first make sure you have all the requirements listed in the "Requirements" section.
