A list of new database systems that you may try

This list contains both NoSQL/SQL systems, let's discover them.

# CockroachDB Home

CockroachDB is a cloud-native SQL database for building global, scalable cloud services that survive disasters.

# TiDB Home

TiDB (The pronunciation is: /'taɪdiːbi:/ tai-D-B, etymology: titanium) is a distributed SQL database. Inspired by the design of Google F1 and Google Spanner, TiDB supports the best features of both traditional RDBMS and NoSQL.

# RethinkDB Home

The open-source database for the realtime web

# InfluxDB Home

InfluxDB is an open source time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics.

# LedisDB Home

Ledisdb is a high-performance NoSQL database, similar to Redis, written in Go. It supports many data structures including kv, list, hash, zset, set.

# DGraph Home

Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC.

# Vitess Home

Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. Vitess has been a core component of YouTube's database infrastructure since 2011, and has grown to encompass tens of thousands of MySQL nodes.

# Concourse Home

Concourse is an open source, operational and analytics database that helps developers build intelligent software.

# ArangoDB Home

ArangoDB is a multi-model, open-source database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. Use ACID transactions if you require them. Scale horizontally with a few mouse clicks.

# BoltDB Home

Bolt is a pure Go key/value store inspired by Howard Chu's LMDB project. The goal of the project is to provide a simple, fast, and reliable database for projects that don't require a full database server such as Postgres or MySQL.