13 best Go Database libraries in 2024

Go Database libraries offer a generic SQL database interface. It supports databases like MySQL, SQLite, PostgreSQL, and many more. This library offers an effortless way to connect various databases and manage those connections. It supports the execution of SQL queries and prepared statements, allowing easy and secure access to databases.  

Go Database libraries offer a simple and intuitive way to manage database transactions, allowing the execution of different SQL statements as a single unit of work. This library offers detailed error handling, providing developers with more information on what went wrong in case of any error. This library supports prepared statements, which will help prevent SQL injection attacks and make it a secure way to interact with databases. It is a generic SQL database interface and supports multiple database drivers making it a flexible and versatile choice for building database-driven applications.  

Here is the list of the 13 best Go Database libraries that are handpicked to help developers: 

prometheus: 

• Is designed for collecting metrics from various sources, storing, and querying them to provide insights into a system's health and performance.  
• Offers a set of tools to build applications that exposes metrics in a format that prometheus can understand.  
• Supports several metrics like gauges, summaries, counters, and histograms.  

tidb: 

• Is an open source, MySQL-compatible, distributed RDBMS built for scalability and performance. 
• Offers a way for executing SQL queries against TiDB databases. 
• Offers a way to create, modify, and delete database schemas, indexes, and tables.  

cockroach: 

• Is an open source, distributed SQL DBMS designed to provide reliable, scalable, and universally available transactional data storage.  
• Offers a way for executing SQL queries against CockroachDB databases.  
• Offers a simple and intuitive way to manage transactions in CockroachDB databases, allowing you to execute multiple SQL statements as a single unit of work. 

influxdb: 

• Offers an easy-to-use interface to perform common database operations like creating and deleting databases, reading, and writing data, and managing users.  
• Is available in various programming languages like Java, JavaScript, Go, and Python.  
• Every library implementation offers a set of classes and functions which can be used for interacting with InfluxDB. 

dgraph: 

• Is a distributed graph database that supports a flexible query and schema and is optimized for handling large-scale graph data.  
• Offers an easy-to-use interface to perform common database operations like creating and deleting edges and nodes, reading, and writing data, and managing indexes. 
• Includes writing data to the database, querying data from the database, and managing schema and indexes. 

milvus: 

• Is an open source vector database designed for storing and searching large-scale vector data like videos, images, and audio.  
• Supports similarity search, allowing users to search for similar vectors in a dataset.  
• Is a software library that will allow developers to interact with Milvus from within their programs.  

sqlx: 

• Is an open source library that offers an enhanced interface for working with SQL databases in Rust.  
• Offers a simple and ergonomic API for interacting with databases, making it easier to write robust and efficient database code and reducing boilerplate code.  
• Supports Rust’s async/await syntax, allowing non-blocking I/O operations and efficient use of system resources. 

teleport: 

• Is an open source library that offers secure access to computing resources like containers, Kubernetes clusters, and servers.  
• Offers a unified access layer that can be used for authorized and authenticated users, managing access to resources, and auditing user activity. 
• Can be integrated into existing applications and supports different authentication like MFA and SSO.  

rqlite: 

• Is an open source distributed SQL database designed for use in high-throughput and low-latency environments.  
• Offers consistent performance, fault tolerance, and scalability by distributing SQL queries and data across different nodes in a cluster.  
• Can make it easier for developers to build applications that use rqlite as their data store.  

immudb: 

• Is a key-value database, open source transactional with built-in cryptographic verification.  
• Offers tamper-evident storage, is immutable, and supports ACID transactions.  
• Includes executing transactions that modify the database, configuring the cryptographic verification settings, and monitoring database health and performance.  

db: 

• Is a productive data access layer for the Go programming language, which offers agnostic tools to work with various data sources.  
• Provides tools for common operations with databases and stays out of the way with advanced cases.  
• Offers a common interface for developers to work with different NoSQL and SQL database engines.  

cayley: 

• Allows developers to store and query graph data using various query languages like SPARQL, Gremlin, and GraphQL.  
• Is a software library that will allow developers to interact with Cayley from within their programs.  
• Can make it easier for developers to build applications that use Cayley as their data store.  

vitess: 

• Offers horizontal resharding, scaling, and failover capabilities for MySQL databases. 
• Is a software library that will allow developers to interact with Vitess from within their programming.  
• Developers can focus on building their application's logic and let the library handle the low-level details of communicating with the Vitess database cluster.