Open Source Database Software - Page 25
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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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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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Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
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WARFARE is a lightweight, extensible Web Application Framework to enable Construction and maintenace of web based applications without writing any Java code. A Web based interface allows for real time maintenance and tweaks to the system.
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ANXS PostgreSQL
Fairly full featured Ansible role for Postgresql
ANXS PostgreSQL is an Ansible role that simplifies the automated installation and configuration of PostgreSQL servers. It allows you to manage Postgres users, databases, extensions, and configuration parameters across environments. Built for infrastructure as code workflows, it helps DevOps teams maintain consistent Postgres setups. -
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Aerich
A database migrations tool for TortoiseORM, ready to production
Aerich is a lightweight database migration tool built for Tortoise ORM, an async ORM for Python. It handles schema evolution through versioned migrations, enabling developers to update and rollback database changes with ease. Designed for asyncio-based applications, Aerich is ideal for fast-moving Python projects that need simple migration control without heavy dependencies. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Apache Cassandra
Open source transactional distributed database
Apache Cassandra is an open-source distributed database built for highly scalable, fault-tolerant data workloads. It stores information in partitioned tables organized by rows, columns, and required primary keys. Data is distributed across multiple machines transparently, and the cluster automatically repartitions when nodes are added or removed. Cassandra Query Language offers an SQL-like interface for defining schemas and performing reads and writes. Its decentralized architecture supports continued availability without relying on a single coordinating server. The system scales horizontally across commodity hardware or cloud infrastructure while maintaining predictable performance. It is suited to applications that need large data volumes, geographic distribution, and resilient operation. -
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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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Apache Pegasus
A consistent and high-performance key-value store
A distributed key-value store optimized for low-latency and high-throughput applications, developed by Apache Incubator. -
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Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management. -
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Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. [VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. Has different types of Stores, each with it's own benefits. Eg. Versionstore allows you to version and snapshot stuff, TickStore is for storage and highly efficient retrieval of streaming data, ChunkStore allows you to chunk and efficiently retrieve ranges of chunks. -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture and built-in compression ensure that networks and storage are utilized efficiently. Support for DataFrames with thousands of columns enables large trading universes. -
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Autobase
Automated database platform for PostgreSQL
autobase is an automated, lightweight PostgreSQL replication setup tool for streaming replication using repmgr. It simplifies the configuration and management of PostgreSQL high availability clusters by handling role switching, connection settings, and initial replication setup with minimal manual effort. It's particularly useful for small to medium-sized teams looking to deploy resilient database clusters quickly. -
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BadgerDB
Fast key-value DB in Go
BadgerDB is an embeddable, persistent and fast key-value (KV) database written in pure Go. It is the underlying database for Dgraph, a fast, distributed graph database. It's meant to be a performant alternative to non-Go-based key-value stores like RocksDB. Badger is stable and is being used to serve data sets worth hundreds of terabytes. Badger supports concurrent ACID transactions with serializable snapshot isolation (SSI) guarantees. A Jepsen-style bank test runs nightly for 8h, with --race flag and ensures the maintenance of transactional guarantees. Badger has also been tested to work with filesystem-level anomalies, to ensure persistence and consistency. Badger is being used by a number of projects including Dgraph, Jaeger Tracing, UsenetExpress, and many more. BadgerDB is a pretty special package from the point of view that the most important change we can make to it is not on its API but rather on how data is stored on disk. -
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BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause) and sort operators (corresponding with SQL ORDER BY), with which users can fulfill their complex and time-critical analytical and transactional requirement by writing SQL statements. In a typical scenario, hundreds of millions of rows can be scanned and aggregated in few seconds. BaikalDB also supports full-text search by building inverted indices after word segmentation. Users can harness the fuzzy search features simply by adding a FULLTEXT KEY type index when creating tables. -
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Bank Application
Full Stack Web Application similar to financial software
Full Stack Web Application similar to financial software that is used in banking institutions | React.js and Node.js. The current account balance is calculated based on the SQL operation (Double-entry bookkeeping) Internalization of the application for three languages: English, German and Polish. Support for multiple currencies with the current rate supplied from an external server via API. Application programmed according to the correct design patterns and principle, i.e. SOLID, DRY and KISS. Software supports PWA, it is adapted to all modern browsers and mobile devices (RWD). Implementation of Google Analytics along with the Cookie Consent according to the GDPR. -
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
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Bob
SQL query builder and ORM/Factory generator for Go
Bob is a SQL query builder for Go that emphasizes composability, type safety, and maintainability. It allows developers to construct dynamic queries in a programmatic and reusable way, supporting both simple and complex SQL logic. Bob helps avoid raw string concatenation, making Go-based database interactions more robust and testable. -
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BuntDB
Database for Go with custom indexing and geospatial support
BuntDB is an embeddable, in-memory key/value database written in Go, with optional persistence to disk. It is built for scenarios where you want a lightweight, fast store (reads and writes in memory) but also durability (via append-only file format) and transactional semantics (ACID with single-writer, multiple-reader locking). Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. The API is simple, and the library is easy to embed into Go apps. -
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CDC Connectors for Apache Flink
CDC Connectors for Apache Flink
This project provides a set of source connectors for Apache Flink® directly ingesting changes coming from different databases using Change Data Capture(CDC). CDC Connectors for Apache Flink® is a set of source connectors for Apache Flink®, ingesting changes from different databases using change data capture (CDC). CDC Connectors for Apache Flink® integrates Debezium as the engine to capture data changes. So it can fully leverage the ability of Debezium. Supports reading database snapshot and continues to read transaction logs with exactly-once processing even failures happen. CDC connectors for DataStream API, users can consume changes on multiple databases and tables in a single job without Debezium and Kafka deployed. CDC connectors for Table/SQL API, users can use SQL DDL to create a CDC source to monitor changes on a single table. CDC Connectors for Apache Flink® supports ingesting snapshot data and real time changes from databases to Flink®. -
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Carmine
Redis client and message queue for Clojure
A pure-Clojure Redis client & message queue. Redis is awesome and it's getting more awesome every day. It deserves a great Clojure client. Fully documented, API with full support for the latest Redis versions. Industrial strength connection pooling. Composable, first-class command functions. Flexible, high-performance binary-safe serialization using Nippy. Simple, high-performance message queue (v2+, Redis 2.6+). Simple, high-performance distributed lock (v2+, Redis 2.6+). Pluggable compression and encryption support (v2+). Includes Tundra, an API for replicating data to an additional datastore (v2+, Redis 2.6+). You'll usually want to define a single connection pool, and one connection spec for each of your Redis servers. Note that executing multiple Redis commands in a single wcar request uses efficient Redis pipelining under the hood, and returns a pipeline reply (vector) for easy destructuring, etc. -
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Cayley
An open-source graph database
Cayley is a free and open source database for Linked Data. Inspired by the graph database behind Google's Knowledge Graph (formerly Freebase), it offers a similar experience for Freebase fans and more. Cayley has a built-in query editor, visualizer and REPL, as well as support for multiple Query languages, including Gizmo (Gremlin dialect), MQL and GraphQL dialect. Cayley is also highly modular, so you can easily extend and connect it to your favorite programming languages and back-end stores. Cayley works on top of your existing database no matter the data model. It’s been well tested by numerous companies for their production workloads and is therefore very production-ready. -
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Citus
Distributed PostgreSQL as an extension
Citus is a PostgreSQL extension that transforms Postgres into a distributed database, so you can achieve high performance at any scale. With Citus, you extend your PostgreSQL database with new superpowers. Distributed tables are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage and I/O capacity. References tables are replicated to all nodes for joins and foreign keys from distributed tables and maximum read performance. Distributed query engine routes and parallelizes SELECT, DML, and other operations on distributed tables across the cluster. Columnar storage compresses data, speeds up scans, and supports fast projections, both on regular and distributed tables. You can use these Citus superpowers to make your Postgres database scale-out ready on a single Citus node. -
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ClickHouse Go
Golang driver for ClickHouse
Golang SQL database client for ClickHouse. There are two version of this client, v1 and v2, available as separate branches. v1 is now in a state of maintenance, we will only accept PRs for bug and security fixes. Uses ClickHouse native format for optimal performance. Utilizes low level ch-go client for encoding/decoding and compression (versions >= 2.3.0). Supports native ClickHouse TCP client-server protocol. Compatibility with database/sql (slower than native interface!). Database/sql supports http protocol for transport. (Experimental). Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. LZ4/ZSTD compression support. External data. -
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Cloud Firestore
Node.js client for Google Cloud Firestore: a NoSQL document database
The official Firestore client for Node.js, enabling seamless interaction with Google Cloud Firestore, a NoSQL document database optimized for real-time applications. -
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CogDB
Micro Graph Database for Python Applications
Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics. -
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Commanded EventStore
Event store using PostgreSQL for persistence
Commanded EventStore is an Elixir-based event store built for event-sourced systems using the Commanded framework. It stores domain events as immutable facts and provides mechanisms for publishing, persisting, and querying events. Built with PostgreSQL as its backend, it ensures strong consistency and is optimized for CQRS architectures.
