Open Source C++ Database Software
Sort By:
C++ Database Software
View 472 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.
-
Earn up to 15% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Earn up to 15% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
KeePass
A lightweight and easy-to-use password manager
KeePass Password Safe is a free, open source, lightweight, and easy-to-use password manager for Windows, Linux and Mac OS X, with ports for Android, iPhone/iPad and other mobile devices. With so many passwords to remember and the need to vary passwords to protect your valuable data, it’s nice to have KeePass to manage your passwords in a secure way. KeePass puts all your passwords in a highly encrypted database and locks them with one master key or a key file. As a result, you only have to remember one single master password or select the key file to unlock the whole database. And the databases are encrypted using the best and most secure encryption algorithms currently known, AES and Twofish. See our features page for details. -
2
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++.
-
3
Firebird
A powerful, cross platform, SQL database system
Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language. More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues -
4
LibreOffice
A free and powerful office suite
LibreOffice is a free and powerful office suite, and a successor to OpenOffice. Its clean interface and feature-rich tools help you unleash your creativity and enhance your productivity. LibreOffice is Free and Open Source Software (FOSS) – development is open to new talent and new ideas, and our software is tested and used daily by a large and devoted user community. Your documents will look professional and clean, regardless of their purpose: a letter, a master thesis, a brochure, financial reports, marketing presentations, technical drawings and diagrams. LibreOffice makes your work look great while you focus on the content, thanks to its powerful styles system and structuring tools. LibreOffice is compatible with a wide range of document formats such as Microsoft® Word (.doc, .docx), Excel (.xls, .xlsx), PowerPoint (.ppt, .pptx) and Publisher. But LibreOffice goes much further with its native support for a modern and open standard (OpenDocument Format). -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
-
5
SQLiteStudio
A free, open source, multi-platform SQLite database manager
A free, open-source, multi-platform SQLite database manager written in C++, with use of Qt framework. It's free of charge for everybody, for any purpose (including commercial). It's safe, as anyone can review the source code. The SQL Editor window assists users with SQL syntax hints & highlighting, provides pretty-print code formatter, and marks syntax errors. You can Ctrl+click on the table mentioned in the SQL query to open that table (or index, or trigger, or view). Currently supported encrypted, password-protected SQLite variations are SQLCipher, WxSQLite3, and System.Data.SQLite. You can execute SQL statements that refer to multiple databases within a single query, thanks to a transparent database attaching mechanism built into the SQL Editor of SQLiteStudio. You can implement your own SQL functions (scalar & aggregate) using JavaScript, Python, or Tcl. There is a repository of ready-to-use scripts on the wiki page. -
6
FlameRobin
FlameRobin is a management GUI for Firebird
FlameRobin is a lightweight and cross-platform administration and management GUI for the Firebird DBMS. -
7
ChessX
Chess Database and PGN viewer
A free and open source chess database application for Linux, Mac OS X and Windows. -
8
better-sqlite3
The fastest and simplest library for SQLite3 in Node.js
The fastest and simplest library for SQLite3 in Node.js. Full transaction support. High performance, efficiency, and safety. Easy-to-use synchronous API (better concurrency than an asynchronous API... yes, you read that correctly). Support for user-defined functions, aggregates, virtual tables, and extensions. 64-bit integers (invisible until you need them). Worker thread support (for large/slow queries). Help this project stay strong! better-sqlite3 is used by thousands of developers and engineers on a daily basis. Long nights and weekends were spent keeping this project strong and dependable, with no ask for compensation or funding, until now. In most cases, if you're attempting something that cannot be reasonably accomplished with better-sqlite3, it probably cannot be reasonably accomplished with SQLite3 in general. -
9
MongoDB
The MongoDB Database
MongoDB refers to the core MongoDB server, a modern, document-oriented NoSQL database offering flexible schema, rich queries, horizontal scalability, and integrated support for transactions and search. Packages are created dynamically by the buildscripts/packager.py script. This will generate RPM and Debian packages. Client drivers for most programming languages are available. You can install compass using the install_compass script packaged with MongoDB. MongoDB integrates with 100+ of your favorite technologies. -
More Bookings. Better Experience.The all-in-one solution built to help you stay organised and get more bookings with thousands of connections to online travel agencies (OTAs), resellers and suppliers.
-
10
Catalog the content of removable volumes like CD and DVD disks for off-line searching. Folders and files can also be arranged in a single, virtual file system. Each folder of this virtual file system can contain files from many disks.
-
11
pgModeler
Open-source data modeling tool designed for PostgreSQL
pgModeler is an open-source data modeling tool for PostgreSQL, enabling visual creation and management of database schemas. It supports reverse engineering from existing databases, model validation, and SQL export, providing a full-featured GUI for database design. pgModeler is suited for developers, DBAs, and analysts who want to streamline schema creation and documentation. -
12
ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
ZeroMQ (also known as ØMQ, 0MQ, or zmq) looks like an embeddable networking library but acts like a concurrency framework. It gives you sockets that carry atomic messages across various transports like in-process, inter-process, TCP, and multicast. You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. For configuration either autotools or CMake is employed. For Linux users, pre-built binary packages are available for most distributions. Note that DRAFT APIs can change at any time without warning, pick a STABLE build to avoid having them enabled. -
13
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. -
14
ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly reliable and fault tolerant. It supports multi-master asynchronous replication with the option of being deployed across multiple datacenters. With all nodes equal, there is no single point of failure. Downtime of a single node or even the whole datacenter won't affect the system's availability. ClickHouse also has exceptional hardware efficiency and a host of other features, including a feature-rich SQL database, vectorized query execution, real-time query processing and data ingestion, and more. -
15
CLucene is a C++ port of Lucene: the high-performance, full-featured text search engine written in Java. CLucene is faster than lucene as it is written in C++.
-
16
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer/user with a complete library/software, supporting the design of interactive information visualization
-
17
OceanBase seekdb
The AI-Native Search Database
seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the database layer, including embedding generation, reranking, and LLM inference for end-to-end RAG pipelines. Built on the OceanBase engine, it maintains ACID compliance and MySQL compatibility while delivering real-time analytical performance. Overall, seekdb positions itself as a unified data foundation for next-generation AI applications that require both transactional and semantic retrieval capabilities. -
18
Hermes JS Engine
A JavaScript engine optimized for running React Native
Hermes-powered apps launch faster, thanks to build-time precompilation of JavaScript into efficient bytecode. Hermes is small in APK size, lean on memory, and starts instantly. It won't weigh your app down. It's simple to get started with Hermes in React Native apps. Hermes is open source and implements JavaScript standards. You will now be in a directory with the output of building Hermes into CLI tools. From here you can run a piece of JavaScript. If you have an existing app based on an earlier version of React Native, you will have to upgrade it first. Each Hermes release is aimed at a specific RN version. The rule of thumb is to always follow Hermes releases strictly. Version mismatch can result in instant crash of your apps in the worst case scenario. Hermes requires Microsoft Visual C++ 2015 Redistributable -
19
QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection. We provide a live demo provisioned with the latest QuestDB release and sample datasets. -
20
FoundationDB
Open source, distributed, transactional key-value store
FoundationDB gives you the power of ACID transactions in a distributed database. FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. FoundationDB is easy to install, grow, and manage. It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. FoundationDB provides amazing performance on commodity hardware, allowing you to support very heavy loads at low cost. FoundationDB has been running in production for years and been hardened with lessons learned. Backing FoundationDB up is an unmatched testing system based on a deterministic simulation engine. Developers on an OS for which there is no binary package, or who would like to start hacking on the code, can get started by compiling from source. -
21
KeyDB
A Multithreaded Fork of Redis
KeyDB is an incredibly fast NoSQL database, a high performance fork of Redis that can perform up to 5X faster than Redis and can be used as a drop in alternative. KeyDB is focused on multithreading, memory efficiency, and high throughput, with features and capabilities not readily available with Redis. KeyDB has gained quite a reputation for its exceptional performance and features. Apart from multithreading it offers such features as multi-master replication, persistence capabilities, horizontal and vertical scalability and direct backup to AWS S3 right out of the box. KeyDB remains fully compatible with Redis protocol, modules, and scripts, including the atomicity guarantees for scripts and transactions. Keeping in sync with Redis development, it is a superb drop in replacement for existing Redis deployments. -
22
Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information. -
23
TOra is a Toolkit for Oracle which aims to help the DBA or developer of database applications. Features PL/SQL debugger, SQL worksheet with syntax highlighting, DB browser and a full set of DBA tools. TOra also includes support for MySQL and Postgres.
-
24
Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. -
25
DuckDB
DuckDB is an in-process SQL OLAP Database Management System
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version.
