Open-source alternatives to Databunker

zvec is an embedded vector database engine and indexing library designed for high-dimensional similarity search. It functions as a hybrid search engine and a retrieval-augmented generation knowledge base, allowing for the storage and retrieval of dense and sparse vectors. The system is distinguished by its hybrid retrieval pipeline, which fuses vector similarity, full-text keyword matching, and scalar metadata filtering into single query operations. It supports a plugin-based model integration system for registering custom embedding models and rerankers, as well as language bindings for nativ

AnalyticDB for MySQL MCP Server

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。

HBase is a distributed, wide-column NoSQL store and big data storage engine designed for sparse datasets. It functions as a scalable columnar database built on top of the Hadoop Distributed File System to provide real-time read and write access to massive volumes of structured and unstructured data. The system acts as a cross-language database gateway, offering connectivity through native remote procedure calls, REST, and Thrift interfaces. It distinguishes itself through a master-worker coordination model that enables horizontal scaling and fault tolerance across a cluster. The project cove

The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.

LibraDB is a simple, persistent key/value store written in pure Go in less than 1000 lines for learning purposes.

A curated list of the best resources in the Cassandra community.

A general-purpose MCP server that lets AI work with multiple databases within clear boundaries.

Cassandra is a distributed NoSQL database and wide-column store designed for high availability and linear scalability. It functions as a fault-tolerant distributed system that utilizes an LSM-tree storage engine to optimize write throughput and manage massive datasets. The system is a CQL-compliant database, using a structured query language to manage and retrieve tabular data stored across multiple nodes. It organizes information into rows and columns based on a flexible schema and primary keys. The project provides capabilities for horizontal database scaling, distributed data partitioning

One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.

CouchDB is a NoSQL document database that stores data as flexible documents and exposes a RESTful API for data management over HTTP. It functions as a distributed document store, synchronizing and replicating data across multiple nodes to ensure high availability and consistency. The system includes a full-text search engine that transforms database records into queryable documents, supporting sorting and pagination. Data synchronization is handled via multi-master replication, which exchanges revision histories to maintain consistency across distributed nodes. The database utilizes multi-ve

AnalyticDB PostgreSQL MCP Server serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases. It enables seamless communication between AI Agents and AnalyticDB PostgreSQL, helping AI Agents retrieve database metadata and execute SQL operations.

Kvrocks is a disk-based NoSQL database and distributed key-value store that leverages the RocksDB storage engine to persist large datasets to physical disk. It is designed to be a Redis-compatible database, utilizing the standard Redis communication protocol to ensure interoperability with existing client libraries and tools. The project distinguishes itself by combining a disk-persistent storage model with advanced retrieval capabilities, including vector search for k-nearest neighbor queries, full-text search indexing, and geospatial query execution. It supports distributed clustering with

ShardingSphere is a distributed SQL database middleware that provides sharding, read-write splitting, and distributed transaction management for relational databases. It functions as a layer that intercepts SQL queries to distribute data across multiple physical database instances for horizontal scaling. The project is distinguished by its ability to operate as either a standalone transparent database proxy or via direct integration as a JDBC driver. It features a SQL dialect translator that parses queries into abstract syntax trees to convert syntax between different database engines, enabli

ApeCloud's Data Transfer Suite, written in Rust. Provides ultra-fast data replication between MySQL, PostgreSQL, Redis, MongoDB, Kafka and ClickHouse, ideal for disaster recovery (DR) and migration scenarios.

KubeBlocks is a Kubernetes Operator designed to manage a variety of databases and streaming systems, including MySQL, PostgreSQL, MongoDB, Redis, RabbitMQ, RocketMQ, and more, within Kubernetes environments.

This project is a multi-model database system designed to store and manage information as documents, graphs, and key-value pairs within a single engine. It functions as a graph database and knowledge graph platform, providing the infrastructure to build, query, and visualize structured data models. By integrating vector search capabilities, the system serves as a vector database that supports retrieval-augmented generation for artificial intelligence applications. The platform distinguishes itself through a unified query language that allows users to perform document lookups, graph traversals

Unofficial Codex skill and MCP server for operating Docker-based local-ydb deployments.

SpiceDB is a distributed permission store and relationship-based access control system. It provides a scalable database for storing and querying fine-grained authorization relationships, implementing a consistency model inspired by Google Zanzibar to manage access rights across large-scale applications. The system uses a dedicated schema language to define the rules and logic governing how relationships translate into permissions independently of application code. It functions as a pluggable authorization engine that persists relationship tuples in external relational databases such as Postgr

Redis and Valkey module that implements the token-bucket algorithm as a native command for high-performance rate limiting

Single-binary observability, time-series database, and built-in dashboard for Raspberry Pi, edge devices, and local metrics.

Personal db information management system.

Simple SQL Client for lightweight data analysis.

Beekeeper Studio is a cross-platform desktop application designed for database management and SQL development. It provides a unified graphical interface to connect to, query, and modify data across a wide range of relational and NoSQL database systems. The application functions as a comprehensive workspace, integrating tools for schema design, record editing, and data visualization. The project distinguishes itself through a focus on secure, flexible connectivity and AI-assisted workflows. It supports advanced authentication methods, including enterprise single sign-on, multi-factor authentic

Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.