Open Source C Database Software
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C Database Software
View 468 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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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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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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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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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 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. -
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Grafana
Leading open-source visualization and observability platform
Grafana Open Source 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, OpenTelemetry, 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 and open governance, Grafana OSS is free to use, modify, and deploy under the AGPL-3.0 license. -
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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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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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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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Implementation of the popular ODBC standard for non-Windows platforms such as Linux and Mac OS X. Includes; DriverManager and several command-line tools
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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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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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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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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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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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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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This is a module that allows PAM aware applications to authenticate users through a MySQL database. Now configurable in terms of which host the database reside upon, which table and username and password column to interrogate.
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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, RFC 1006, Modbus, 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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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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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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"Aubit 4GL" is a project to make GPL, OpenSource, Informix-4GL compatible compiler, and continue to extend functionality needed to write most efficient and productive business related, database oriented applications. See "Home Page" link for more.
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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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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.