How to choose the right type of database

1. sqlite

   1 25 122 10.0 C

   sqlite mirror (by smparkes)

   

   SQLite: A lightweight, self-contained SQL database, best for standalone applications, embedded systems, or small-scale applications not requiring a client/server DBMS.

2. CodeRabbit

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3. ClickHouse

   2 236 39,645 10.0 C++

   ClickHouse® is a real-time analytics database management system

   

   ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.

4. PostgreSQL

   3 486 17,140 10.0 C

   Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

   

   PostgreSQL: Offers a robust feature set and strong compliance with SQL standards, making it suitable for a wide range of applications, from simple to complex, particularly where data integrity and extensibility are key.

5. canopy

   4 23 975 7.5 Python

   Discontinued Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

   

   Pinecone: A scalable vector database service that facilitates efficient similarity search in high-dimensional spaces. Ideal for building real-time applications in AI, such as personalized recommendation engines and content-based retrieval systems.

6. MySQL

   5 182 11,222 9.9 C++

   MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.

   

   MySQL: A widely-used open-source SQL database, MySQL is efficient for OLTP with its fast data processing and robustness. It is a go-to choice for web-based applications, e-commerce, and online transaction systems.

7. MongoDB

   6 298 26,929 10.0 C++

   The MongoDB Database

   

   MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.

8. RocksDB

   7 49 29,331 9.8 C++

   A library that provides an embeddable, persistent key-value store for fast storage.

   

   RocksDB: A high-performance embedded database optimized for multi-core CPUs and fast storage like SSDs. Its use of a log-structured merge-tree (LSM tree) makes it suitable for applications requiring high throughput and efficient storage, such as streaming data processing.

9. SaaSHub

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10. Redis

    8 368 68,399 9.7 C

    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, Bitmaps.

    

    Redis: An open-source, in-memory data structure store supporting various data types. It offers persistence, replication, and clustering, making it ideal for more complex caching requirements and session storage.

11. pinot

    9 18 5,683 9.9 Java

    Apache Pinot - A realtime distributed OLAP datastore

    

    Apache Pinot: Tailored for providing ultra-low latency analytics at scale. Apache Pinot is widely used for real-time analytical solutions where rapid data insights and decision-making are critical.

12. Neo4j

    10 57 13,981 9.9 Java

    Graphs for Everyone

    

    Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks.

13. Milvus

    11 125 33,384 10.0 Go

    Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

    

    Milvus: An open-source vector database designed for AI and ML applications. It excels in handling large-scale vector similarity searches, making it suitable for recommendation systems, image and video retrieval, and natural language processing tasks.

14. Memcached

    12 63 13,754 8.9 C

    memcached development tree

    

    Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.

15. Apache HBase

    13 12 5,307 9.6 Java

    Apache HBase

    

    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount.

16. Druid

    14 25 13,645 9.9 Java

    Apache Druid: a high performance real-time analytics database.

    

    Apache Druid: Focused on real-time analytics and interactive queries on large datasets. Druid is well-suited for high-performance applications in user-facing analytics, network monitoring, and business intelligence.

17. dgraph

    15 36 20,731 9.4 Go

    high-performance graph database for real-time use cases

    

    Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.

18. SaaSHub

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