Open Source C Database Software
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C Database Software
View 471 business solutionsBrowse free open source C Database Software and projects below. Use the toggles on the left to filter open source C Database Software by OS, license, language, programming language, and project status.
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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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Uniform Server
A free lightweight Windows Apache MySQL and PHP Server Solution.
Uniform Server is a free lightweight WAMP server solution for Windows. Build using a modular design approach, it includes the latest versions of Apache, MySQL or MariaDB, PHP (with version switching), phpMyAdmin or Adminer. No installation required! No registry dust! Just unpack and fire up! ------- Note: The latest version of Uniform Server requires a **64-bit version** of Windows. ------- -
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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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Redis for Windows
Native port of Redis for Windows
Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported, Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs. This repository contains an unofficial port of Redis to Windows. At the moment win-4.0.14 branch provides a stable port of Redis 4.0.14 for Windows x64 and win-5.0 branch provides a stable port of Redis 5.0.14 for Windows x64, both merged with archived port of win-3.2.100 version from MS Open Tech team. 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, etc. -
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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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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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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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. -
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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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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
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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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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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sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
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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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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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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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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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A set of libraries and utilities for reading Microsoft Access database (MDB) files. THIS PROJECT HAS MOVED TO GITHUB: https://github.com/mdbtools/mdbtools
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Scidb
Chess Database Application
Scidb is an open-source chess database application for Windows, Unix/Linux. It is a new development inspired by Scid. -
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FTLDNS
The Pi-hole FTL engine
Network-wide ad blocking via your own Linux hardware. FTLDNS (pihole-FTL) provides an interactive API and also generates statistics for Pi-hole®'s Web interface. Fast, stats are read directly from memory by coupling our codebase closely with dnsmasq. Versatile, upstream changes to dnsmasq can quickly be merged in without much conflict. Lightweight, runs smoothly with minimal hardware and software requirements such as Raspberry Pi Zero. Interactive, our API can be used to interface with your projects. Insightful: stats normally reserved inside of dnsmasq are made available so you can see what's really happening on your network. Network-level blocking allows you to block ads in non-traditional places such as mobile apps and smart TVs, regardless of hardware or OS. -
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ISAM File handler
ISAM file handler compatible with the leading commercial ISAM
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Open source SCADA running on Windows and Linux/WINE. Development environment ANSI C/C++98. HMI is based on Qt library. Different technologies (EiC, GigaBASE, FastDB, ORTE) have been integrated. Supported drivers: OPC DA 2.05a, AE 1.10, HDA 1.20, XML DA 1.0, OPC UA 1.03, DNP 3.0, Modbus TCP/RTU, MQTT 3.1.1/Sparkplug B, IEC 60870-5-101/103/104, IEC 62056 DLMS/COSEM, IEC 61850, M-BUS, SNMP, Ethernet/IP, FINS/TCP.
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Valkey
A flexible distributed key-value datastore
Valkey is an open source (BSD) high-performance key/value datastore that supports a variety of workloads such as caching, and message queues, and can act as a primary database. Valkey can run as either a standalone daemon or in a cluster, with options for replication and high availability. Valkey natively supports a rich collection of datatypes, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and more. You can operate on data structures in-place with an expressive collection of commands. Valkey also supports native extensibility with built-in scripting support for Lua and supports module plugins to create new commands, data types, and more.
