Open Source Go Database Software
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Go Database Software
View 465 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.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Deliver secure remote access with OpenVPN.OpenVPN's products provide scalable, secure remote access — giving complete freedom to your employees to work outside the office while securely accessing SaaS, the internet, and company resources.
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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. -
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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/ -
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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. -
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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. -
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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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. -
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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. -
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CockroachDB
The open source, cloud-native SQL database
CockroachDB is an SQL database designed for global cloud services. It delivers resilient, consistent, distributed SQL at your scale thanks in large part to its unique self-organizing and self-healing architecture. It is able to scale horizontally, survive all kinds of failures with minimal latency disruption and zero manual intervention, and supports strongly-consistent ACID transactions. All this while providing a familiar SQL API. -
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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. -
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand. -
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PeerDB
Fast, Simple and a cost effective tool to replicate data from Postgres
PeerDB is an open-source platform for real-time replication and transformation of data from PostgreSQL to analytical warehouses like BigQuery and Snowflake. It supports Change Data Capture (CDC) and provides seamless syncing and transformation logic with low latency. PeerDB is ideal for teams building real-time data pipelines without relying on expensive proprietary solutions. -
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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. -
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Jet Database
Type safe SQL builder with code generation and automatic query result
Jet is a complete solution for efficient and high-performance database access, consisting of a type-safe SQL builder with code generation and automatic query result data mapping. Jet currently supports PostgreSQL, MySQL, CockroachDB, MariaDB, and SQLite. Future releases will add support for additional databases. -
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etcd
Distributed reliable key-value store for the most critical data
A distributed, reliable key-value store for the most critical data of a distributed system. etcd is a strongly consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. It gracefully handles leader elections during network partitions and can tolerate machine failure, even in the leader node. etcd is a consistent distributed key-value store. Mainly used as a separate coordination service, in distributed systems. And designed to hold small amounts of data that can fit entirely in memory. Read and write values using standard HTTP tools, such as curl. Store data in hierarchically organized directories, as in a standard filesystem. Watch specific keys or directories for changes and react to changes in values. -
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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(). -
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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. -
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Beats
Lightweight data shippers of the Elastic Stack
Beats is a platform of lightweight, single-use data shippers written in Go. It captures all sorts of operational data from hundreds or thousands of machines and systems and sends them to Logstash or Elasticsearch. Beats is lightweight in that it has a small installation footprint, uses limited system resources and has no runtime dependencies. It consists of: Auditbeat (for audit data), Filebeat (for log files), Functionbeat (serverless shipper), Heartbeat (for uptime monitoring), Metricbeat (for metrics), Packetbeat (for monitoring network data), and Winlogbeat (for Windows Event logs), with many other Beats created by the community. -
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Bytebase
The GitHub/GitLab for database DevSecOps
The GitHub/GitLab for database DevSecOps. World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. -
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DoltgreSQL
DoltgreSQL - Version Controlled PostgreSQL
DoltgreSQL is an experimental Postgres fork that adds Git-like version control to your database. It allows users to commit, branch, merge, and revert changes to data and schema, bringing collaborative workflows to SQL databases. DoltgreSQL is designed for teams who want full auditability and control over every change made in their data layer. -
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GoBackup
CLI tool for backup your databases, files to cloud storages
GoBackup is a simple backup tool for servers, written in Go. It allows users to back up databases, files, and other critical data to various cloud storage providers, ensuring data safety and disaster recovery. -
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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. -
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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. -
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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. -
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Kache
A simple in memory cache written using go
Kache is a simple, lightweight in-memory key-value store written in Go, designed to provide high-performance caching solutions for applications. It offers features similar to Redis but is optimized for lightweight deployments. -
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MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. MatrixOne introduces a global, high-performance distributed transaction protocol across storage engines. Seamless and non-disruptive scaling by disaggregated storage and compute. -
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SQL Exporter
Database agnostic SQL exporter for Prometheus
SQL Exporter is a configuration-driven exporter that exposes metrics gathered from DBMSs, for use by the Prometheus monitoring system. Out of the box, it provides support for MySQL, PostgreSQL, Microsoft SQL Server, and Clickhouse, but any DBMS for which a Go driver is available may be monitored after rebuilding the binary with the DBMS driver included. The collected metrics and the queries that produce them are entirely configuration-defined. SQL queries are grouped into collectors -- logical groups of queries, e.g., query stats or I/O stats, mapped to the metrics they populate. Collectors may be DBMS-specific (e.g,. MySQL InnoDB stats) or custom, deployment-specific (e.g., pricing data freshness). This means you can quickly and easily set up custom collectors to measure data quality, whatever that might mean in your specific case.
