Open Source C Database Software for Linux
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C Database Software for Linux
View 87 business solutionsBrowse free open source C Database Software for Linux and projects below. Use the toggles on the left to filter open source C Database Software for Linux by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Easily build robust connections between Salesforce and any platformLike having Postman inside Salesforce! Declarative Webhooks allows users to quickly and easily configure bi-directional integrations between Salesforce and external systems using a point-and-click interface. No coding is required, making it a fast and efficient and as a native solution, Declarative Webhooks seamlessly integrates with Salesforce platform features such as Flow, Process Builder, and Apex. You can also leverage the AI Integration Agent feature to automatically build your integration templates by providing it with links to API documentation.
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Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
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Scid vs. PC
Chess Database and Toolkit program
"Shane's Chess Information Database" is a huge chess toolkit with extensive database, analysis and chess-playing features. Scid vs. PC is a usability and bug-fix fork of Scid. It has many interface fixes and improvements, and is fully compatible with Scid's .si4 databases. New features include a rewritten Gamelist, Computer Tournament, and FICS, Tree, Book and Graph improvements. -
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libdbi implements a database-independent abstraction layer in C, similar to the DBI/DBD layer in Perl. Writing one generic set of code, programmers can leverage the power of multiple DBs and multiple simultaneous DB connections by using this framework.
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest
TimescaleDB is the open-source relational database for time-series and analytics. Build powerful data-intensive applications. Become instantly productive with full SQL. Rely on the same PostgreSQL you know, love, and trust. Hyperfunctions make time series easier. Achieve 10-100x faster queries than with vanilla PostgreSQL, InfluxDB, MongoDB. Write millions of data points per second per node. Horizontally scale to petabytes. Don’t worry about cardinality. Simplify your stack, ask more complex questions, and build more powerful applications. Don’t break the bank. 94-97% compression rates from best-in-class algorithms. Downsample + retention policies. Decouple compute and storage. You’re in trusted hands. Fully-managed TimescaleDB on AWS, Azure, or GCP in just one click. Top-rated support and ops available 24/7 worldwide. A modern, cloud-native relational database platform for time-series data based on TimescaleDB and PostgreSQL. -
Accounting practice management softwareCanopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
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Redis
An in-memory database that persists on disk
Redis is an open-source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing an element to a list; computing set intersection, union and difference; or getting the member with highest ranking in a sorted set. To achieve top performance, Redis works with an in-memory dataset. Depending on your use case, you can persist your data either by periodically dumping the dataset to disk or by appending each command to a disk-based log. -
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HDF5
Official HDF5® Library Repository
HDF5 (Hierarchical Data Format v5) is a widely-used data management library and file format for storing large and complex scientific data sets efficiently. -
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The MonetDB project has moved to http://www.monetdb.org/.
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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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Grafana
Leading open-source visualization and observability platform
Grafana OSS is a leading open-source visualization and observability platform that lets you query, visualize, alert on, and explore your data—regardless of where it’s stored. With support for 100+ data source plugins (such as Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, OTel, and more), you can unify metrics, logs, traces, and other observability signals in one place. Grafana OSS empowers you to build dynamic, reusable dashboards with rich visualizations, template variables, interactive filtering, and cross-panel linking. Its Explore mode enables ad-hoc queries and side-by-side comparisons of time ranges, queries, and data sources. Grafana also includes built-in alerting, allowing you to define threshold-based rules and send notifications to external systems (e.g. Slack, PagerDuty, OpsGenie). Backed by a strong community (https://grafana.com/community/) and open governance, Grafana OSS is free to use, modify, and deploy under the AGPL-3.0 license. -
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sysbench
Scriptable database and system performance benchmark
sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. It is most frequently used for database benchmarks, but can also be used to create arbitrarily complex workloads that do not involve a database server. extensive statistics about rate and latency is available, including latency percentiles and histograms. Low overhead even with thousands of concurrent threads. sysbench is capable of generating and tracking hundreds of millions of events per second. New benchmarks can be easily created by implementing pre-defined hooks in user-provided Lua scripts. Can be used as a general-purpose Lua interpreter as well, simply replace #!/usr/bin/lua with #!/usr/bin/sysbench in your script. Execute events for this many seconds with statistics disabled before the actual benchmark run with statistics enabled. This is useful when you want to exclude the initial period of a benchmark run from statistics. -
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GT.M High end TP database engine
Industrial Strength NoSQL Application Development Platform
GT.M[tm] is a vetted industrial strength, transaction processing application platform consisting of a key-value database engine optimized for extreme transaction processing throughput & business continuity. -
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MyDumper
MyDumper project
MyDumper is a MySQL Logical Backup Tool. It has 2 tools. mydumper which is responsible to export a consistent backup of MySQL databases. myloader reads the backup from mydumper, connects the to destination database and imports the backup. Both tools use multithreading capabilities. MyDumper is Open Source and maintained by the community, it is not a Percona, MariaDB or MySQL product. Parallelism (hence, speed) and performance (avoids expensive character set conversion routines, efficient code overall) Easier to manage output (separate files for tables, dump metadata, etc, easy to view/parse data) Consistency - maintains snapshot across all threads, provides accurate master and slave log positions, etc. Manageability - supports PCRE for specifying database and tables inclusions and exclusions. -
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PolarDB for PostgreSQL
A cloud-native database based on PostgreSQL developed by Alibaba Cloud
PolarDB for PostgreSQL is Alibaba Cloud's cloud-native, distributed version of PostgreSQL designed for high availability, scalability, and performance. It enhances standard PostgreSQL with features like shared storage, compute-storage separation, and parallel processing. PolarDB supports cloud-native workloads, offering enterprise-grade capabilities while maintaining PostgreSQL compatibility. -
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An open-source ODBC driver manager and SDK that facilitates the development of database-independent applications on linux, freebsd, unix and MacOS X platforms.
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Cloudberry
One advanced and mature open-source MPP
Apache Cloudberry is a distributed real-time analytics engine designed for querying massive social media datasets. It integrates with Apache AsterixDB and supports efficient ad-hoc queries and aggregations across large volumes of data. Cloudberry is especially useful for dashboards, trend analysis, and time-series social data exploration. -
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MySQL for Python
MySQL database connector for Python programming
MySQLdb is a Python DB API-2.0-compliant interface; see PEP-249 for details. For up-to-date versions of MySQLdb, use the homepage link. Supported versions: * MySQL versions from 3.23 to 5.5; 5.0 or newer recommended. MariaDB should also work. * Python versions 2.4-2.7; Python 3 support coming soon. ZMySQLDA is a Database Adapter for Zope2. -
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PipelineDB
High-performance time-series aggregation for PostgreSQL
PipelineDB is a PostgreSQL extension for continuous aggregation and stream processing. It allows users to define continuous queries that automatically process incoming data streams, storing results in materialized views. Designed for real-time analytics, PipelineDB extends PostgreSQL with stream-oriented features while maintaining compatibility with standard SQL and tooling. -
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Virtuoso is a scalable cross-platform server that combines Relational, Graph, and Document Data Management with Web Application Server and Web Services Platform functionality.
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pg_cron
Run periodic jobs in PostgreSQL
pg_cron is a PostgreSQL extension that allows SQL jobs to be scheduled using cron syntax. It runs inside the database server and lets users automate routine tasks like VACUUM, backups, and custom SQL scripts. Jobs are managed via SQL commands and can run on the same schedule format as standard UNIX cron, making it powerful and easy to use for database administrators and developers alike. -
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HypoPG
Hypothetical Indexes for PostgreSQL
HypoPG is a PostgreSQL extension that allows you to create hypothetical indexes without actually building them on disk. It helps developers and DBAs test the impact of potential indexes on query performance before committing resources. By simulating indexes, HypoPG assists in query optimization and index strategy planning without any performance or storage cost. -
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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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PgBouncer
lightweight connection pooler for PostgreSQL
PgBouncer is a lightweight, high-performance connection pooler for PostgreSQL. It reduces the overhead of frequent connection handling by maintaining a pool of open connections, which are reused by client applications. PgBouncer supports various pooling modes, transaction-level handling, and authentication mechanisms, making it essential for scaling Postgres-backed applications. -
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RedisGraph
A graph database as a Redis module
A high-performance graph database module for Redis that enables fast graph processing and analytics using a query engine based on Cypher. -
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pg_auto_failover
Postgres extension and service for automated failover
pg_auto_failover is a PostgreSQL extension and management tool for automated high availability. It handles health checks, failover, and monitoring without requiring third-party tools or complex configuration. Designed by the Citus Data team at Microsoft, it's ideal for developers and ops teams wanting reliable HA with minimal effort.