Open Source Database Software - Page 9
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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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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there are tens of devices under LAN network. IoTDB can be installed on a local controller server in the factory to receive data from those devices. The local controller server (normal PC or workstation) with IoTDB can provide the ability to persist data and query data with SQL-like interface. In addition, with TsFile-Sync tool, TsFiles on the local controller can be transmitted to the data center equipped with IoTDB instance in the cloud. -
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MongoDB C++ Driver
C++ Driver for MongoDB
The MongoDB C++ Driver is the official client library for integrating MongoDB with C++ applications, enabling efficient document-based data storage and retrieval. -
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OrioleDB
Building a modern cloud-native storage engine
OrioleDB is a next-generation storage engine for PostgreSQL, aiming to enhance scalability, performance, and modern data management. Designed as a table access method (TAM) extension, it introduces features like MVCC improvements, compression, and efficient concurrency handling. OrioleDB seeks to future-proof PostgreSQL by enabling cloud-native, high-throughput workloads without altering the core PostgreSQL behavior. -
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PEV2
Postgres Explain Visualizer 2
PEV2 is a web-based tool to visualize PostgreSQL execution plans. It takes EXPLAIN or EXPLAIN ANALYZE output and displays it in an interactive, tree-like format that highlights performance metrics, helping users understand query behavior and bottlenecks. PEV2 is a complete rewrite of the original PEV, offering a modern, user-friendly interface for query optimization. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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PikiwiDB
Pika is a Redis-Compatible database
A high-performance, distributed key-value database inspired by Redis but designed for large-scale cloud-native environments. -
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Postgres
PostgreSQL driver for Deno
A lightweight PostgreSQL driver for Deno focused on developer experience. deno-postgres is inspired by the excellent work of node-postgres and pq. The documentation is available on the deno-postgres website. Due to breaking changes introduced in the unstable APIs deno-postgres uses, there has been some fragmentation regarding what versions of Deno can be used alongside the driver. -
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PowerUpSQL
A PowerShell toolkit for attacking SQL Server
PowerUpSQL is a PowerShell toolkit focused on auditing, discovering, and post-exploitation activities for Microsoft SQL Server environments. It bundles a wide range of functions that help enumerate SQL Server instances, configuration settings, and potentially risky features so operators and testers can quickly understand an instance's security posture. The project is aimed at internal penetration testers and red-teamers but is also useful for database administrators and defenders who want to inventory SQL Server attack surface and hunt for misconfigurations. PowerUpSQL can surface things like weak configuration flags, dangerous surface (for example, features that may enable code execution from SQL), credential material exposed in configuration, and cross-instance trust relationships such as linked servers. The codebase is implemented primarily in PowerShell, organized as a module with many discrete functions, and includes helper scripts and documentation for usage scenarios. -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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Redash
Connect to any data source, easily visualize and share your data
Redash is an essential tool to help you make sense of your data. It allows everyone, regardless of level of technical know-how to harness the power of data. SQL users connect, query, visualize and share data easily and efficiently, allowing everyone in their organization to use the data. Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for better decision-making. Redash supports a multitude of SQL and NoSQL data sources, and can be extended to support even more. Best of all it’s open source, so you can customize and add features to suit your organization’s needs perfectly. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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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RocksDB
A library with an embeddable, persistent key-value store for storage
RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs. RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters. -
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SQL Exporter
Database agnostic SQL exporter for Prometheus
SQL Exporter is a configuration-driven exporter that exposes metrics gathered from DBMSs, for use by the Prometheus monitoring system. Out of the box, it provides support for MySQL, PostgreSQL, Microsoft SQL Server, and Clickhouse, but any DBMS for which a Go driver is available may be monitored after rebuilding the binary with the DBMS driver included. The collected metrics and the queries that produce them are entirely configuration-defined. SQL queries are grouped into collectors -- logical groups of queries, e.g., query stats or I/O stats, mapped to the metrics they populate. Collectors may be DBMS-specific (e.g,. MySQL InnoDB stats) or custom, deployment-specific (e.g., pricing data freshness). This means you can quickly and easily set up custom collectors to measure data quality, whatever that might mean in your specific case. -
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SQLTabs
Rich SQL client for Postgresql, MySQL, MS SQL, Amazon Redshift
SQLTabs is a cross-platform SQL client built using Electron and Vue.js that offers a modern and intuitive interface for managing SQL databases. It supports multiple database types and allows users to run queries in tabs, explore schemas, and view results in a clean, responsive UI. SQLTabs is designed for developers and analysts who need a simple yet powerful tool for database interaction. -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. Spring Data Neo4j is a core part of the Spring Data project which aims to provide convenient data access for NoSQL databases. Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides. -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios. -
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Supabase JS
An isomorphic Javascript client for Supabase
supabase-js is the official JavaScript client library for interacting with Supabase services. It enables developers to easily access Supabase’s Postgres database, authentication, storage, and real-time subscriptions through a unified client. Designed for frontend and full-stack apps, supabase-js integrates smoothly with modern frameworks and supports both browser and server environments. -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It features synchronous replication, affords easy scalability, and includes tools to develop efficient applications. The Tarantool community helps with any practical questions regarding the Community Edition. Large enterprises have demanding requirements for information safety and security. Besides modules for integrating with the company's existing technological suite, Tarantool Enterprise Edition provides tools for administration, deployment, and security management. -
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Voldemort
A distributed key-value storage system
Voldemort is a distributed database that’s an open source clone of Amazon’s Dynamo. It automatically replicates data over multiple servers, and automatically partitions them as well so each server only contains a subset of the total data. It offers many other features such as pluggable serialization support, data item versioning and an SSD Optimized Read Write storage engine. Voldemort is not a relational database or an object database. It is essentially a big, distributed, persistent, fault-tolerant hash table. This doesn’t make it ideal for all applications but does offer unique advantages, such as the ability to read and write scale horizontally, and the ability to combine in memory caching with the storage system so that a separate caching tier is not required. -
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eXist-db
eXist Native XML Database and Application Platform
eXist-db is an open-source, native XML database and application platform that provides a powerful environment for storing, querying, and managing XML documents. It is designed for complex data management needs, offering XQuery, XSLT, and RESTful web services for interacting with structured data. -
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ksqlDB
The database purpose-built for stream processing applications
Build applications that respond immediately to events. Craft materialized views over streams. Receive real-time push updates, or pull current state on demand. Seamlessly leverage your existing Apache Kafka® infrastructure to deploy stream-processing workloads and bring powerful new capabilities to your applications. Use a familiar, lightweight syntax to pack a powerful punch. Capture, process, and serve queries using only SQL. No other languages or services are required. ksqlDB enables you to build event streaming applications leveraging your familiarity with relational databases. Three categories are foundational to building an application: collections, stream processing, and queries. Streams are immutable, append-only sequences of events. They're useful for representing a series of historical facts. Tables are mutable collections of events. They let you represent the latest version of each value per key. -
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mysqlclient
MySQL/MariaDB connector for Python
Summary: mysqlclient is a MySQL/MariaDB connector for Python, providing a convenient interface for database interactions. -
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repmgr
A lightweight replication manager for PostgreSQL (Postgres)
repmgr is a management tool for PostgreSQL replication, providing monitoring, failover, and administrative capabilities for streaming replication setups. It simplifies the configuration of primary/standby clusters and automates failover processes for high availability. repmgr is widely used in production environments where database resilience and minimal downtime are critical. -
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sqlc
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. Here's how it works. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. Seriously, it's that easy. You don't have to write any boilerplate SQL querying code ever again. See the current list of supported programming languages and databases. sqlc needs to know your database schema and queries in order to generate code. -
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Orbada - Database manager
Database SQL, query tool, using JDBC for Oracle,SQLite,PostgreSQL,etc
ORBADA is a database, SQL, query client using JDBC drivers. It is a tool to administrate and manage database structure. It Is for Oracle, SQLite, Firebird, HSQLDB, DerbyDB, MySQL, PostgreSQL and other databases. -
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GameBase is a fully-featured retro-gaming emulator frontend and game database utility. It supports virtually any emulator for any system and has versatile database searching and filtering. It is the official frontend for the GB64 Collection of C64 games.
