Open Source Linux Database Software - Page 20
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Database Software for Linux
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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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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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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
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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. -
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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. -
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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Bitalosdb
Bitalosdb is a high-performance KV storage engine
BitalosDB is a distributed, high-performance key-value database designed for cloud-native applications. It is optimized for scalability, supporting large workloads while maintaining low latency and high availability. -
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Bitwarden Server
The core infrastructure backend of Bitwarden
Bitwarden Server is an open source project that contains all of the core infrastructure backend of all Bitwarden client applications. This includes APIs, database, Docker and other infrastructure items. Bitwarden is an open source password management solution that stores sensitive information in an encrypted vault. This project is written in C# using .NET Core with ASP.NET Core, while the database is written in T-SQL/SQL Server. Cross-platform, its codebase can be developed, built, run and deployed via Docker containers on Windows, macOS, and Linux distributions. -
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BoltHold
BoltHold is an embeddable NoSQL store for Go types built on BoltDB
Bolthold is a simple, embedded key/value store for Go, built on top of BoltDB, offering query and indexing capabilities. -
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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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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. -
Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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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. -
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Conductor
Conductor is a microservices orchestration engine
We built Conductor to help us orchestrate microservices-based process flows at Netflix with the following features, a distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. Simple interface to connect workers, which execute the tasks in workflows. Full operational control over workflows with the ability to pause, resume, restart, retry and terminate. Allow greater reuse of existing microservices providing an easier path for onboarding. Event handlers to control workflows via external actions. Client implementations in Java, Python and other languages. Various configurable properties with sensible defaults to fine-tune workflow and task executions like rate limiting, concurrent execution limits etc. -
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Create Go App CLI
Create a new production-ready project with backend, and frontend
Create a new production-ready project with backend, frontend and deploy automation by running one CLI command! Focus on writing code and thinking of business-logic! The CLI will take care of the rest. Next, open the generated Ansible inventory file (called hosts.ini) and fill in the variables according to your server configuration. And you're ready to automatically deploy this project. If you don't want to install Create Go App CLI to your system, you feel free to using our official Docker image and run CLI from isolated container. CLI command for deploy Docker containers with your project via Ansible to the remote server. Configured PostgreSQL container with apply migrations for backend. Frontend part will be generate using awesome tool Vite.js under the hood. So, you'll always get the latest version of React, Preact, Vue, Svelte, Lit or pure JavaScript/TypeScript templates. -
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DataStation Community Edition
App to easily query, script, and visualize data from every database
DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable. -
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DenoDB
MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno
Supports PostgreSQL, MySQL, MariaDB, SQLite and MongoDB. Setting up your database with DenoDB is a four-step process. Create models, extending Model. table and fields are both required static attributes. Link your models, to add them to your database instance. Optional, create tables in your database, by using sync. Query your models! Using Mongo means adapting your models to its standards, one being the use of _id for identifying records. The only change on your side is to add an _id field to your models. Models represent tables in your database. Each model should link to one of your database's tables. Every field should also match the name from your database. Creating models is very easy. Import Model from the library and create a class based on what you plan to modelize. The name we call our model might differ from the table name in our database. -
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DevUI for Angular
Angular UI Component Library based on DevUI Design
The DevUI Design Design system contains a combination of DevUI rules, Design languages, and best practices. DevUI Design allows developers to focus more on application logic, while designers focus on user experience, interactions, and processes. Open source front-end solutions for enterprise mid- and back-office products. DevUI is an open-source front-end solution for middle and back-end products of enterprises. Its design values are based on the three concepts of "simplicity", "immersion" and "flexibility" combining nature and humanity, aiming to provide a standard for designers and front-end developers It is an enterprise-level out-of-the-box product that meets various landing scenarios. Based on the Angular framework, DevUI provides a variety of components with powerful functions and rich scenarios, such as Tree, Table, etc. -
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Django Postgres Extra
Bringing all of PostgreSQL's awesomeness to Django
django-postgres-extra is a Django extension that enhances PostgreSQL support by adding advanced features like native upserts, materialized view support, and better constraint handling. It improves developer productivity by exposing PostgreSQL-specific capabilities in a Django-friendly way while maintaining ORM consistency. -
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Doctrine DBAL
Doctrine database abstraction layer
Powerful PHP database abstraction layer (DBAL) with many features for database schema introspection and management. The Doctrine database abstraction & access layer (DBAL) offers a lightweight and thin runtime layer around a PDO-like API and a lot of additional, horizontal features like database schema introspection and manipulation through an OO API. The fact that the Doctrine DBAL abstracts the concrete PDO API away through the use of interfaces that closely resemble the existing PDO API makes it possible to implement custom drivers that may use existing native or self-made APIs. For example, the DBAL ships with a driver for Oracle databases that uses the oci8 extension under the hood. The Doctrine 2 database layer can be used independently of the object-relational mapper. In order to use the DBAL all you need is the class loader provided by Composer, to be able to autoload the classes. -
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DoltgreSQL
DoltgreSQL - Version Controlled PostgreSQL
DoltgreSQL is an experimental Postgres fork that adds Git-like version control to your database. It allows users to commit, branch, merge, and revert changes to data and schema, bringing collaborative workflows to SQL databases. DoltgreSQL is designed for teams who want full auditability and control over every change made in their data layer. -
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Druid
Database connection pool written in Java
Druid is an open-source database connection pool written in Java. Druid is able to provide an extensive number of powerful monitoring functionalities for database connection. Druid has been deployed to the maven central repository. Druid provides a monitoring feature that can be implemented through filter-chain. It also comes with WallFilter, that is based on the SQL semantic analysis to protect from SQL injection attacks. Monitor connection leaks and connect to other databases, like Oracle database. -
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Duktape
Embeddable Javascript engine with a focus on portability
Duktape is easy to integrate into a C/C++ project: add duktape.c, duktape.h, and duk_config.h to your build, and use the Duktape API to call ECMAScript functions from C code and vice versa. Partial support for ECMAScript 2015 (E6) and ECMAScript 2016 (E7), Post-ES5 feature status, kangax/compat-table. Combined reference counting and mark-and-sweep garbage collection with finalization. Property virtualization using a subset of ECMAScript ES2015 Proxy object. Bytecode dump/load for caching compiled functions. Distributable includes an optional logging framework, CommonJS-based module loading implementations, CBOR bindings, etc. See duktape.org for packaged end-user downloads and documentation. The end user downloads are also available from the duktape-releases repo as both binaries and in unpacked form as git tags. -
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EJDB
Embeddable JSON Database engine C library
EJDB 2.0, Embeddable JSON Database engine C library. Simple XPath like query language (JQL). Websockets / Android / iOS / React Native / Flutter / Java / Dart / Node.js bindings. Docker image. Array elements are matched from start to end. In equal arrays all values at the same index should be equal. Lexicographically sort object keys in both maps. Do matching keys and its values starting from the lowest key. Database index can be build for any JSON field path containing values of number or string type. All documents in collection are sorted by their primary key in descending order. So if you use auto generated keys (ejdb_put_new) you may be sure what documents fetched as result of full scan query will be ordered according to the time of insertion in descendant order, unless you don't use query sorting, indexes or inverse keyword. -
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Elasticsearch-HQ
Monitoring and Management Web Application for ElasticSearch instances
Elasticsearch-HQ is a management and monitoring tool for Elasticsearch clusters, providing a web-based interface to view, manage, and optimize cluster performance. -
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EliasDB
EliasDB a graph-based database
EliasDB is a graph-based database that aims to provide a lightweight solution for projects which want to store their data as a graph. Build on top of a custom key-value store that supports transactions and memory-only storage. Data is stored in nodes (key-value objects) which are connected via edges. Stored graphs can be separated via partitions. Stored graphs support cascading deletions - delete one node and all its "children". All stored data is indexed and can be quickly searched via a full text phrase search. EliasDB has a GraphQL interface which can be used to store and retrieve data. For more complex queries EliasDB has an own query language called EQL with an sql-like syntax. Includes a scripting interpreter to define alternative actions for database operations or writing backend logic. Written in Go from scratch. Only uses gorilla/websocket to support websockets for GraphQL subscriptions. The database can be embedded or used as a standalone application. -
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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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Entity Framework 6
This is the codebase for Entity Framework 6
Entity Framework 6 (EF6) is a proven object-relational (O/RM) mapper for .NET with many years of feature development and stabilization. Like O/RM, EF6 reduces the impedance mismatch between the relational and object-oriented worlds, allowing developers to write applications that interact with data stored in relational databases with strongly typed .NET objects that represent the domain of the database. application, and eliminate the need for much of the data access "mechanical" code that you would normally write. Mapping POCO entity classes that do not depend on any EF type. Models can be generated from existing databases and then manually edited, or they can be created from scratch and then used to generate new databases. Integration with .NET Framework application models, including ASP.NET, and through data binding, with WPF and WinForms. Database connectivity based on ADO.NET and various providers available to connect to SQL Server, Oracle, MySQL, SQLite, PostgreSQL, DB2, etc.
