Open Source Linux Database Software - Page 15
Sort By:
Database Software for Linux
View 89 business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
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.
-
1
Lada Cache
A Redis based, fully automated and scalable database cache layer
A Redis-based, fully automated, and scalable database cache layer for Laravel. -
2
LocustDB
Massively parallel, high performance analytics database
An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. When loading .csv or .csv.gz files with --load, the first line of each file is assumed to be a header containing the names for all columns. The type of each column will be derived automatically, but this might break for columns that contain a mixture of numbers/strings/empty entries. To persist data to disk in LocustDB's internal storage format (which allows fast queries from disk after the initial load), specify the storage location with --db-path. -
3
Maybe
The personal finance app for everyone
Maybe is an open-source personal finance and wealth management application designed to help users manage their finances effectively. Originally developed as a comprehensive platform, it included features like connecting with certified financial advisors. Although the commercial venture was discontinued, the source code remains available for the community to explore and build upon. -
4
MySQLDump - PHP
PHP version of mysqldump cli that comes with MySQL
This is a php version of mysqldump cli that comes with MySQL, without dependencies, output compression and sane defaults. Out of the box, MySQLDump-PHP supports backing up table structures, the data itself, views, triggers and events. MySQLDump-PHP is the only library that supports output binary blobs as hex. Resolves view dependencies (using Stand-In tables). Output compared against original mysqldump. Linked to travis-ci testing system (testing from php 5.3 to 7.3 & hhvm). Dumps stored routines (functions and procedures). Dumps events, does extended-insert and/or complete-insert, supports virtual columns from MySQL 5.7, does insert-ignore, like a REPLACE but ignoring errors if a duplicate key exists, modifying data from database on-the-fly when dumping, using hooks. Can save directly to google cloud storage over a compressed stream wrapper (GZIPSTREAM). -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
MySQLTuner
Script written in Perl to assist with MySQL configurations
MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and stability. The current configuration variables and status data is retrieved and presented in a brief format along with some basic performance suggestions. MySQLTuner supports ~300 indicators for MySQL/MariaDB/Percona Server in this last version. MySQLTuner is maintained and indicator collect is increasing week after week supporting a lot of configuration such as Galera Cluster, TokuDB, Performance schema, Linux OS metrics, InnoDB, MyISAM, Aria, etc. It is extremely important for you to fully understand each change you make to a MySQL database server. If you don't understand portions of the script's output, or if you don't understand the recommendations, you should consult a knowledgeable DBA or system administrator that you trust. Always test your changes on staging environments. -
6
Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
Open source intermediate for the MySQL database network protocol written in Java language, open source of GPLv3 protocol. Custom Calcite distributed query engine, edit SQL to relationship algebra expression, rule optimization engine, and cost optimization engine, generate physical execution plan, support logic view. Any cross-currant cross-table join query, support cross-currant cross-table non-associated query, support cross-currant cross-table association query, support cross-currant cross-table Window grammar, support global secondary index, limited support storage process, support visualization configuration. Support parallel extraction of result sets, support the automatic transfer of back-end result sets, support multiple routing notes, and optimizer notes. Parameterization of the requested SQL, cache physics execution plan, and request of the same parameterization SQL, will avoid some analysis and optimization processes. -
7
Nakadi
A distributed event bus that implements a RESTful API abstraction
Nakadi is a real-time event streaming platform developed by Zalando, built to handle publish-subscribe use cases at scale. It abstracts Kafka and provides a RESTful API to manage event types, producers, and consumers. Nakadi is aimed at simplifying event-driven architecture for microservices and distributed systems. -
8
Nyaa
Nyaa.se replacement written in golang
The aim of this project is to write a fully featured nyaa replacement in golang that anyone will be able to deploy locally or remotely. On Windows, a specific version of GCC is used to build a specific depedency we use The GCC version packaged with msys2 should work. We support docker for easy development and deployment. Simply install docker and docker-compose. Once you've successfully installed docker, make sure you have the database file in the project's directory as nyaa.db. Then, follow these steps to build and run the application. -
9
OctoSQL
Join, analyse and transform data from multiple databases
OctoSQL is predominantly a CLI tool which lets you query a plethora of databases and file formats using SQL through a unified interface, even do JOINs between them. (Ever needed to join a JSON file with a PostgreSQL table? OctoSQL can help you with that.) OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. At the same time it's an easily extensible full-blown dataflow engine, and you can use it to add a SQL interface to your own applications. OctoSQL supports a bunch of file formats out of the box, but you can additionally install plugins to add support for other databases. You can specify the output format using the --output flag. Available values for it are live_table, batch_table, csv and stream_native. With Go in version >= 1.18 the application can be built from source. This can be achieved by cloning the repository and running go install from the project directory. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
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. -
11
PGlite
Lightweight WASM Postgres with real-time, reactive bindings
PGlite is a lightweight, WebAssembly (WASM) build of Postgres designed to run directly in JavaScript environments such as browsers, Node.js, Bun, and Deno, without the need for additional dependencies. It allows developers to run Postgres in-memory or with persistence to IndexedDB or local file systems, offering a simple yet powerful solution for local-first, real-time applications. At under 3MB gzipped, PGlite is optimized for efficiency and includes dynamic extension loading, support for pgvector, and real-time sync capabilities with ElectricSQL. It's ideal for building reactive apps with live queries and syncing data between a cloud Postgres instance and a local PGlite database. -
12
PolarDB-X
PolarDB-X is a cloud native distributed SQL Database
PolarDB-X is a cloud-native distributed SQL database designed to handle high concurrency, massive storage, and complex querying scenarios. It features a shared-nothing architecture that decouples computing from storage, providing scalability and flexibility for various applications. -
13
RDM
Cross-platform GUI management tool for Redis
Cross-platform open source database management tool for Redis. RDM is easy-to-use GUI tool available for Windows, Linux, MacOS and iPadOS. Analyse your Redis ® memory usage with RDM and remove obsolete data with bulk removal. RDM supports all latest Redis ® features: ACL, Streams, Cluster, Sentinel, ReJSON module, HyperLogLog, etc. Build-in TLS, SSH and TLS-over-SSH tunneling for easy and secure access to any redis-server. RDM works with Amazon ElastiCache, Microsoft Azure Redis Cache, Digital Ocean and other Redis ® clouds. RDM displays JSON, MessagePack, CBOR, PHP, Pickle, numpy.Array, pandas.DataFrame and binary data in human readable form and supports Native Formatters. RDM offers you an easy-to-use GUI to access your Redis ® databases and perform some basic operations. RDM allows to perform bulk operations which simplifies developer daily routines. -
14
RESTHeart
Rapid API Development with MongoDB
RESTHeart is an open-source middleware that exposes MongoDB databases as a RESTful API, allowing developers to interact with MongoDB using HTTP-based queries instead of traditional drivers. -
15
SQLDelight
SQLDelight - Generates typesafe Kotlin APIs from SQL
SQLDelight is a multiplatform Kotlin SQL library developed by Square. It generates typesafe Kotlin APIs from your SQL statements and integrates seamlessly with Android, iOS, JVM, and web platforms. SQLDelight ensures compile-time verification of SQL queries and supports migrations, transactions, and coroutines, making it a robust solution for cross-platform persistence. -
16
ScalarDB
Universal HTAP Engine
ScalarDB is an open-source, multi-storage transactional database library that adds ACID-compliant transactions to various NoSQL and key-value databases like Cassandra, DynamoDB, and CosmosDB. -
17
Skunk
A data access library for Scala + Postgres
Skunk is a Postgres library for Scala. Skunk is powered by cats, cats-effect, scodec, and fs2. Skunk is purely functional, non-blocking, and provides a tagless-final API. Skunk gives very good error messages. Skunk embraces the Scala Code of Conduct. Skunk is pre-release software! Code and documentation are under active development! Skunk is published for Scala 2.12/2.13/3.1 and can be included in your project.Query and Command types are usually inferrable, but specifying a type ensures that the chosen encoders and decoders are consistent with the expected input and output Scala types. Postgres provides a protocol for execution of simple queries, returning all rows at once (Skunk returns them as a list). -
18
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. -
19
SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing. -
20
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. -
21
TinyDB
Document oriented database optimized for you
TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. TinyDB neither needs an external server (as e.g. PyMongo) nor any dependencies from PyPI. TinyDB works on all modern versions of Python and PyPy. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares. TinyDB has been tested with Python 3.6 - 3.10 and PyPy3. -
22
Twitter-Post-Fetcher
Fetch your twitter posts without using the new Twitter 1.1 API
Allows you to get your tweets displayed on your website using JavaScript, without using new Twitter 1.1 API. Recently I was quite frustrated to find out that the old API on Twitter was depreciated and the overhead in setting up a system to perform OAUTH just to get my already publicly available tweets was too damn high. Even worse I couldn't find any simple solutions for JavaScript. All code examples were server-side. So after much thinking, I invented the following solution. It makes use of the over-bloated widgets Twitter gives us to put on our sites, cuts out all the nonsense (and nonsemantic markup), and returns to you your raw tweet text so you can do with it as you please and style it how you want on your own website - like it should be. Instructions on how to get it working with your tweets are in the code comments, just do what it says! Enjoy! -
23
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. -
24
Vuefire
Firebase bindings for Vue.js & Vuex
Firebase provides two solutions to handle real-time databases: Realtime Database and Cloud Store (which is also a realtime database). In order to keep all clients data in-sync with its cloud database, their js SDK provides the tools to do so. However, it quickly becomes bothersome to bind multiple documents or collections to your application, keep them synchronized as well as handling references to other documents or collections, which can contain references themselves and must also be kept up to date. The goal of vuefire and vuexfire is to make this as simple as a function call that returns a promise so it is also easy to setup SSR and allows you to focus on developing your application. This version currently supports Vue 2 and Firebase 7. Support for Vue 3 / Composition API and Firebase 8 is on the way. Vuefire/Vuexfire only handles the binding for you so your state is always up to date with the server. You are still able to use Firebase JS SDK to its full potential! -
25
WhoDB
A lightweight next-gen data explorer
WhoDB is a lightweight audit logging extension for PostgreSQL that helps track who accessed what data and when. It uses logical decoding and hooks into PostgreSQL internals to log query metadata, user identities, and timestamps in a separate audit schema. WhoDB is useful for compliance, security monitoring, and debugging in multi-user environments.