Open Source Go Database Software
Sort By:
Go Database Software
View 476 business solutionsBrowse free open source Go Database Software and projects below. Use the toggles on the left to filter open source Go Database Software by OS, license, language, programming language, and project status.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
Prometheus
Open source monitoring system and time series database
Prometheus is a leading open source systems and service monitoring solution. It works by collecting metrics from configured targets at given intervals, evaluating rule expressions, and then displaying the results. It can also signal an alert if a condition is observed to be true. What sets Prometheus apart from other monitoring systems is its highly dimensional data model, powerful query language, autonomous single server nodes, among many other distinguishing features. It also offers several client libraries for easy instrumentation of services, as well as many integration options. -
2
pREST
PostgreSQL REST, low-code, simplify and accelerate development
pREST (PostgreSQL REST), simplify and accelerate development, instant, realtime, high-performance on any Postgres application, existing or new. There is PostgREST written in Haskell, but keeping Haskell software in production is not an easy job. With this need pREST was born. Instant, realtime, high-performance on any Postgres application, existing or new. Add the JWT Authentication Middleware to implement authentication using JSON Web Token. This middleware will process the authorization header, check if there is a JSON Web Token in it, and if it is, create the user identity and claims based on the content of JWT. Migrations are pREST's way of propagating changes you make to your tables (adding a field, deleting a table, etc.) into your database schema. No complexity to use, download a single binary for all operating systems (and architectures). You can also extend and write your own endpoints as you would using one framework, gaining all existing endpoints for free. -
3
PocketBase
Open Source realtime backend in 1 file
PocketBase is an open-source backend written in Go, packaged as a single binary. It features an embedded SQLite database, real-time subscriptions, built-in authentication and file management, a web-based admin dashboard, and a simple REST-style API—ideal for building self‑contained apps on a single server. -
4
VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution
VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics is available in binary releases, Docker images, Snap packages and source code. Just download the latest version of VictoriaMetrics. VictoriaMetrics is developed at a fast pace, so it is recommended periodically checking the CHANGELOG and performing regular upgrades. It can be used as long-term storage for Prometheus. See these docs for details. It can be used as a drop-in replacement for Prometheus in Grafana, because it supports Prometheus querying API. It can be used as a drop-in replacement for Graphite in Grafana, because it supports Graphite API. It features easy setup and operation. VictoriaMetrics consists of a single small executable without external dependencies. All the configuration is done via explicit command-line flags with reasonable defaults. All the data is stored in a single directory pointed by -storageDataPath command-line flag. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
InfluxDB
The open source time series database
InfluxDB is an open source time series datastore designed to handle high write and query loads. Time series is currently the fastest growing database category there is, and InfluxDB is here to ensure businesses can keep up. InfluxDB provides infrastructure and application monitoring, IoT monitoring and analytics and more. It has APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes. This data can also be visualized, explored and more to help businesses seize opportunities and make the best decisions. InfluxDB is easy to start and easy to scale. Learn more about it on https://www.influxdata.com/ -
6
CloudNativePG
CloudNativePG is a Kubernetes operator that covers the full lifecycle
CloudNativePG is an open-source operator designed to manage PostgreSQL workloads on any supported Kubernetes cluster running in private, public, hybrid, or multi-cloud environments. The goal of CloudNativePG is to increase the adoption of PostgreSQL, one of the most loved DBMS in traditional VM and bare metal environments, inside Kubernetes, thus making the database an integral part of the development process and GitOps CI/CD automated pipelines. CloudNativePG has been designed by Postgres experts with Kubernetes administrators in mind. Put simply, it leverages Kubernetes by extending its controller and by defining, in a programmatic way, all the actions that a good DBA would normally do when managing a highly available PostgreSQL database cluster. Built on proven DevOps concepts like immutable infrastructure, declarative configuration, and microservice architecture, CloudNativePG exclusively relies on the Kubernetes API server to maintain the state of a PostgreSQL cluster. -
7
OWASP Amass
In-depth attack surface mapping and asset discovery
The OWASP Amass Project has developed a tool to help information security professionals perform network mapping of attack surfaces and perform external asset discovery using open source information gathering and active reconnaissance techniques. The Open Web Application Security Project (OWASP) is a nonprofit foundation that works to improve the security of software. All of our projects ,tools, documents, forums, and chapters are free and open to anyone interested in improving application security. The volume argument allows the Amass graph database to persist between executions and output files to be accessed on the host system. The first field (left of the colon) of the volume option is the amass output directory that is external to Docker, while the second field is the path, internal to Docker, where amass will write the output files. -
8
WAL-G
Archival and Restoration for databases in the Cloud
WAL-G is an archival restoration tool for PostgreSQL, MySQL/MariaDB, and MS SQL Server (beta for MongoDB and Redis). WAL-G is the successor of WAL-E with a number of key differences. WAL-G uses LZ4, LZMA, ZSTD, or Brotli compression, multiple processors, and non-exclusive base backups for Postgres. More information on the original design and implementation of WAL-G can be found on the Citus Data blog post "Introducing WAL-G by Citus: Faster Disaster Recovery for Postgres". A precompiled binary for Linux AMD 64 of the latest version of WAL-G can be obtained under the Releases tab. To configure the compression method used for backups. Possible options are lz4, lzma, zstd, brotli. The default method is lz4. LZ4 is the fastest method, but the compression ratio is bad. LZMA is way much slower. However, it compresses backups about 6 times better than LZ4. Brotli and zstd are a good trade-off between speed and compression ratio, which is about 3 times better than LZ4. -
9
spicedb
Open Source, Google Zanzibar-inspired permissions database
SpiceDB is a graph database purpose-built for storing and evaluating access control data. As of 2021, broken access control became the #1 threat to the web. With SpiceDB, developers finally have the solution to stopping this threat the same way as the hyperscalers. Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications. Building modern authorization from scratch is non-trivial and requires years of development from domain experts. Until SpiceDB, the only developers with access to these workflows were employed by massive tech companies that could invest in building mature, but proprietary solutions. Now we have a community organized around sharing this technology so that the entire industry can benefit. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
dblab
The database client every command line junkie deserves
dblab is a fast and lightweight interactive terminal based UI application for PostgreSQL, MySQL and SQLite3, written in Go and works on OSX, Linux and Windows machines. Main idea behind using Go for backend development is to utilize ability of the compiler to produce zero-dependency binaries for multiple platforms. dblab was created as an attempt to build very simple and portable application to work with local or remote PostgreSQL/MySQL/SQLite3/Oracle/SQL Server databases. -
11
sqldef
Idempotent schema management for MySQL, PostgreSQL, and more
sqldef is a schema migration tool that automatically generates SQL migration statements by comparing database schemas. Instead of writing migrations manually, developers define the desired schema, and sqldef computes the difference. It's compatible with MySQL, PostgreSQL, SQLite, and others, making migrations safer and more maintainable. -
12
Dolt
Dolt, it's Git for data
Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository. Connect to Dolt just like any MySQL database to run queries or update the data using SQL commands. Use the command line interface to import CSV files, commit your changes, push them to a remote, or merge your teammate's changes. All the commands you know for Git work exactly the same for Dolt. Git versions files, Dolt versions tables. It's like Git and MySQL had a baby. We also built DoltHub, a place to share Dolt databases. We host public data for free. If you want to host your own version of DoltHub, we have DoltLab. If you want us to run a Dolt server for you, we have Hosted Dolt. MySQL comes with a MySQL server called mysqld and a MySQL client called mysql. You're only interested in the client. After following the instructions from MySQL's documentation, make sure you have a copy of the mysql client on your path. -
13
Skeema
Declarative pure-SQL schema management for MySQL and MariaDB
Skeema is a schema management and version control tool for MySQL and MariaDB databases. It helps developers manage database schemas in a Git-like workflow, supporting collaboration and versioning. -
14
Dbmate
A lightweight, framework-agnostic database migration tool
Dbmate is a database migration tool, to keep your database schema in sync across multiple developers and your production servers. It is a standalone command line tool, which can be used with Go, Node.js, Python, Ruby, PHP, or any other language or framework you are using to write database-backed applications. This is especially helpful if you are writing many services in different languages, and want to maintain some sanity with consistent development tools. Supports MySQL, PostgreSQL, SQLite, and ClickHouse. Uses plain SQL for writing schema migrations. Migrations are timestamp-versioned, to avoid version number conflicts with multiple developers. Migrations are run atomically inside a transaction. Supports creating and dropping databases (handy in development/test). Supports saving a schema.sql file to easily diff schema changes in git. Database connection URL is defined using an environment variable (DATABASE_URL by default), or specified on the command line. -
15
goose
A database migration tool. Supports SQL migrations and Go functions
goose is a database migration tool. Manage your database schema by creating incremental SQL changes or Go functions. Starting with v3.0.0 this project adds Go module support, but maintains backwards compatibility with older v2.x.y tags. Goose supports embedding SQL migrations, which means you'll need go1.16 and up. If using go1.15 or lower, then pin v3.0.1. We use timestamped migrations by default but recommend a hybrid approach of using timestamps in the development process and sequential versions in production. Supports missing (out-of-order) migrations with the -allow-missing flag, or if using as a library supply the functional option goose.WithAllowMissing() to Up, UpTo or UpByOne. Supports applying ad-hoc migrations without tracking them in the schema table. Useful for seeding a database after migrations have been applied. Use -no-versioning flag or the functional option goose.WithNoVersioning(). -
16
rqlite
The lightweight, distributed relational database built on SQLite
rqlite is an easy-to-use, lightweight, distributed relational database, which uses SQLite as its storage engine. rqlite is simple to deploy, operating it is very straightforward, and its clustering capabilities provide you with fault-tolerance and high availability. rqlite is available for Linux, macOS, and Microsoft Windows. rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it you've got a lightweight and reliable distributed relational data store. Think etcd or Consul, but with relational data modeling also available. You could use rqlite as part of a larger system, as a central store for some critical relational data, without having to run larger, more complex distributed databases. rqlite uses Raft to achieve consensus across all the instances of the SQLite databases, ensuring that every change made to the system is made to a quorum of SQLite databases. -
17
Cortex
A horizontally scalable, multi-tenant, long term Prometheus
Horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus. Durably store data for longer than the lifetime of any single machine, and use this data for long-term capacity planning. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching. Cortex gives you a global view of Prometheus time series data that includes data in long-term storage, greatly expanding the usefulness of PromQL for analytical purposes. Cortex runs across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster. -
18
immudb
Immutable database based on zero trust, SQL and Key-Value, tamperproof
immudb is a database with built-in cryptographic proof and verification. It tracks changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the database. It can operate both as a key-value store, and/or as a relational database (SQL). Traditional database transactions and logs are mutable, and therefore there is no way to know for sure if your data has been compromised. immudb is immutable. You can add new versions of existing records, but never change or delete records. This lets you store critical data without fear of it being tampered with. Data stored in immudb is cryptographically coherent and verifiable. Unlike blockchains, immudb can handle millions of transactions per second, and can be used both as a lightweight service or embedded in your application as a library. immudb runs everywhere, on an IoT device, your notebook, a server, on-premise or in the cloud. -
19
pg_timetable
pg_timetable: Advanced scheduling for PostgreSQL
pg_timetable is a flexible job scheduler for PostgreSQL that allows scheduling of SQL or shell tasks directly within the database. It supports complex workflows, error handling, and dependency management, making it a powerful alternative to cron or external schedulers for database-related jobs. -
20
pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
21
usql
Universal command-line interface for SQL databases
usql is a universal command-line interface for PostgreSQL, MySQL, Oracle Database, SQLite3, Microsoft SQL Server, and many other databases including NoSQL and non-relational databases! usql provides a simple way to work with SQL and NoSQL databases via a command-line inspired by PostgreSQL's psql. usql supports most of the core psql features, such as variables, backticks, and commands and has additional features that psql does not, such as syntax highlighting, context-based completion, and multiple database support. Database administrators and developers that would prefer to work with a tool like psql with non-PostgreSQL databases, will find usql intuitive, easy-to-use, and a great replacement for the command-line clients/tools for other databases. -
22
BadgerDB
Fast key-value DB in Go
BadgerDB is an embeddable, persistent and fast key-value (KV) database written in pure Go. It is the underlying database for Dgraph, a fast, distributed graph database. It's meant to be a performant alternative to non-Go-based key-value stores like RocksDB. Badger is stable and is being used to serve data sets worth hundreds of terabytes. Badger supports concurrent ACID transactions with serializable snapshot isolation (SSI) guarantees. A Jepsen-style bank test runs nightly for 8h, with --race flag and ensures the maintenance of transactional guarantees. Badger has also been tested to work with filesystem-level anomalies, to ensure persistence and consistency. Badger is being used by a number of projects including Dgraph, Jaeger Tracing, UsenetExpress, and many more. BadgerDB is a pretty special package from the point of view that the most important change we can make to it is not on its API but rather on how data is stored on disk. -
23
Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
24
OctoSQL
Join, analyse and transform data from multiple databases
OctoSQL is predominantly a CLI tool which lets you query a plethora of databases and file formats using SQL through a unified interface, even do JOINs between them. (Ever needed to join a JSON file with a PostgreSQL table? OctoSQL can help you with that.) OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. At the same time it's an easily extensible full-blown dataflow engine, and you can use it to add a SQL interface to your own applications. OctoSQL supports a bunch of file formats out of the box, but you can additionally install plugins to add support for other databases. You can specify the output format using the --output flag. Available values for it are live_table, batch_table, csv and stream_native. With Go in version >= 1.18 the application can be built from source. This can be achieved by cloning the repository and running go install from the project directory. -
25
Dgraph
The Only Native GraphQL Database With A Graph Backend
Dgraph is a horizontally scalable and distributed GraphQL database, the only native GraphQL database to have a graph backend. Dgraph is able to do things that other graph DBs can’t. It provides consistent replication, automatic data movement for shard balancing, distributed ACID transactions, as well as native support for full text search, regular expressions and geo search. If you have over 10 SQL tables interconnected via foreign keys, or sparse data that don’t fit neatly into SQL tables; or if you just want a simple and flexible schema, and prioritize speed and performance at scale, Dgraph is the best choice for you. It’s fully equipped with everything you need and more.
