Open Source Linux Database Software - Page 4
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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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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CloudNativePG
CloudNativePG is a Kubernetes operator that covers the full lifecycle
CloudNativePG is an open-source operator designed to manage PostgreSQL workloads on any supported Kubernetes cluster running in private, public, hybrid, or multi-cloud environments. The goal of CloudNativePG is to increase the adoption of PostgreSQL, one of the most loved DBMS in traditional VM and bare metal environments, inside Kubernetes, thus making the database an integral part of the development process and GitOps CI/CD automated pipelines. CloudNativePG has been designed by Postgres experts with Kubernetes administrators in mind. Put simply, it leverages Kubernetes by extending its controller and by defining, in a programmatic way, all the actions that a good DBA would normally do when managing a highly available PostgreSQL database cluster. Built on proven DevOps concepts like immutable infrastructure, declarative configuration, and microservice architecture, CloudNativePG exclusively relies on the Kubernetes API server to maintain the state of a PostgreSQL cluster. -
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DBX
15MB, lightweight, cross-platform database client
DBX is a lightweight, cross-platform database client designed to support many database systems in a compact application. It works with relational, document, analytical, cache, search, and cloud-oriented databases, making it useful for developers who move across different data stacks. The project emphasizes a small footprint, avoiding the heavy Chromium bundling common in many desktop database tools. It includes a query editor with syntax highlighting, autocomplete, formatting, diagnostics, saved snippets, query history, and tab restoration. dbx also includes an AI SQL assistant that can generate, explain, optimize, and help fix SQL through compatible model providers. Its main value is combining broad database coverage, a modern query workflow, and lightweight deployment across desktop and self-hosted environments. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Hermes JS Engine
A JavaScript engine optimized for running React Native
Hermes-powered apps launch faster, thanks to build-time precompilation of JavaScript into efficient bytecode. Hermes is small in APK size, lean on memory, and starts instantly. It won't weigh your app down. It's simple to get started with Hermes in React Native apps. Hermes is open source and implements JavaScript standards. You will now be in a directory with the output of building Hermes into CLI tools. From here you can run a piece of JavaScript. If you have an existing app based on an earlier version of React Native, you will have to upgrade it first. Each Hermes release is aimed at a specific RN version. The rule of thumb is to always follow Hermes releases strictly. Version mismatch can result in instant crash of your apps in the worst case scenario. Hermes requires Microsoft Visual C++ 2015 Redistributable -
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VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution
VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics is available in binary releases, Docker images, Snap packages and source code. Just download the latest version of VictoriaMetrics. VictoriaMetrics is developed at a fast pace, so it is recommended periodically checking the CHANGELOG and performing regular upgrades. It can be used as long-term storage for Prometheus. See these docs for details. It can be used as a drop-in replacement for Prometheus in Grafana, because it supports Prometheus querying API. It can be used as a drop-in replacement for Graphite in Grafana, because it supports Graphite API. It features easy setup and operation. VictoriaMetrics consists of a single small executable without external dependencies. All the configuration is done via explicit command-line flags with reasonable defaults. All the data is stored in a single directory pointed by -storageDataPath command-line flag. -
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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.
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EventStoreDB
The stream database optimised for event sourcing
Persist your application data as streams of events with our open-source database, the best data storage solution for event-sourced systems. Available for free download on most platforms or use our managed service Event Store Cloud. EventStoreDB is an open-source database technology that stores your critical data in streams of immutable events. It was built from the ground up for Event Sourcing, we believe that makes it the best solution in the market for building event-sourced systems. Event Sourcing offers some great benefits over state-oriented systems; the key ones are explained below. An event-sourced system stores your data as a series of immutable events over time, providing one of the strongest audit log options available. All state changes are kept, so it is possible to move systems backward and forwards in time which is extremely valuable for debugging and “what if” analysis. -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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PostgreSQL JDBC Driver
Postgresql JDBC Driver
An Open source JDBC driver written in Pure Java (Type 4), which communicates using the PostgreSQL native network protocol. The PostgreSQL JDBC Driver allows Java programs to connect to a PostgreSQL database using standard, database-independent Java code. pgJDBC is an open source JDBC driver written in Pure Java (Type 4), and communicates in the PostgreSQL native network protocol. Because of this, the driver is platform-independent; once compiled, the driver can be used on any system. pgJDBC allows Java programs to connect to a PostgreSQL database using standard, database-independent Java code. pgJDBC provides a reasonably complete implementation of the JDBC specification in addition to some PostgreSQL-specific extensions. The current development driver supports eleven server versions and three java environments. -
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better-sqlite3
The fastest and simplest library for SQLite3 in Node.js
The fastest and simplest library for SQLite3 in Node.js. Full transaction support. High performance, efficiency, and safety. Easy-to-use synchronous API (better concurrency than an asynchronous API... yes, you read that correctly). Support for user-defined functions, aggregates, virtual tables, and extensions. 64-bit integers (invisible until you need them). Worker thread support (for large/slow queries). Help this project stay strong! better-sqlite3 is used by thousands of developers and engineers on a daily basis. Long nights and weekends were spent keeping this project strong and dependable, with no ask for compensation or funding, until now. In most cases, if you're attempting something that cannot be reasonably accomplished with better-sqlite3, it probably cannot be reasonably accomplished with SQLite3 in general. -
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A pure Java library for reading from and writing to MS Access databases.
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Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly outperform legacy solutions. Druid combines novel storage ideas, indexing structures, and both exact and approximate queries to return most results in under a second. Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data. -
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor lock-in, and allowing open influence on product direction. Greenplum reduces data silos by providing you with a single, scale-out environment for converging analytic and operational workloads, like streaming ingestion. All major Greenplum contributions are part of the Greenplum Database project and share the same database core, including the MPP architecture, analytical interfaces, and security capabilities. -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you want, no need to match a schema or convert your dataset to a compatible format. Everyone makes mistakes! If typos break your search experience, many users will leave thinking what they were looking for just wasn't there. Start searching through your dataset in less than 5 minutes and quickly connect your codebase to Meilisearch with our official libraries. Meilisearch is designed to work out-of-the-box, no configuration needed. -
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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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pgstream
PostgreSQL replication with DDL changes
pgstream is an open source CDC command-line tool and library that offers Postgres replication support with DDL changes to any provided output. One of the main differentiators of pgstream is the fact that it tracks and replicates schema changes automatically. It relies on SQL triggers that will populate a Postgres table (pgstream.schema_log) containing a history log of all DDL changes for a given schema. Whenever a schema change occurs, this trigger creates a new row in the schema log table with the schema encoded as a JSON value. This table tracks all the schema changes, forming a linearised change log that is then parsed and used within the pgstream pipeline to identify modifications and push the relevant changes downstream. -
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sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
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P6Spy is a framework that enables database data to be seamlessly intercepted and manipulated with no code changes to existing application. The P6Spy distribution includes P6Log, an application which logs all JDBC transactions for any Java application us
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Spawner is a generator of sample/test data for databases. It can be configured to output delimited text or SQL insert statements. It can also insert directly into a MySQL 5.x database. Includes many field types, most of which are configurable.
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Antares
A modern, fast and productivity driven SQL client with a focus in UX
Antares is a modern, cross-platform SQL client built with Electron and Vue.js. It offers a clean and intuitive UI for managing databases like MySQL, PostgreSQL, SQLite, and more. Designed for developers and DBAs, Antares supports tabbed browsing, query editing with syntax highlighting, and visual schema exploration, making it a powerful alternative to heavier database tools. -
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PgDog
PostgreSQL connection pooler, load balancer and database sharder
pgDog is a PostgreSQL proxy and connection management tool built to improve scalability, routing, and operational control for PostgreSQL deployments. It acts as an intelligent intermediary between applications and database servers, enabling load balancing, query routing, and connection pooling in distributed environments. The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. In practice, the tool helps organizations scale PostgreSQL clusters while maintaining reliability and predictable performance under load. -
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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. -
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dblab
The database client every command line junkie deserves
dblab is a fast and lightweight interactive terminal based UI application for PostgreSQL, MySQL and SQLite3, written in Go and works on OSX, Linux and Windows machines. Main idea behind using Go for backend development is to utilize ability of the compiler to produce zero-dependency binaries for multiple platforms. dblab was created as an attempt to build very simple and portable application to work with local or remote PostgreSQL/MySQL/SQLite3/Oracle/SQL Server databases.