Open Source Go Database Software
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Go Database Software
View 464 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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Simplify IT and security with a single endpoint management platformNinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
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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. -
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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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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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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. -
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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. -
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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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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. -
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Dungbeetle
A distributed job server
Dungbeetle is a metadata and data lineage tracking tool developed by Zerodha to map and visualize how data flows across systems. It helps teams maintain data transparency by tracking dependencies between databases, tables, and reports, offering a centralized view of data pipelines. Dungbeetle is designed to enhance observability and trust in analytics ecosystems. -
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migrate
Database migrations, CLI and Golang library
Database migrations are written in Go. Use as CLI or import as a library. Migrate reads migrations from sources and applies them in correct order to a database. Drivers are "dumb", migrate glues everything together and makes sure the logic is bulletproof. (Keeps the drivers lightweight, too.) Database drivers don't assume things or try to correct user input. When in doubt, fail. Package migrate reads migrations from sources and runs them against databases. Sources are defined by the `source.Driver` and databases by the `database.Driver` interface. The driver interfaces are kept "dump", all migration logic is kept in this package. -
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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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. -
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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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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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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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sqlc
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. Here's how it works. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. Seriously, it's that easy. You don't have to write any boilerplate SQL querying code ever again. See the current list of supported programming languages and databases. sqlc needs to know your database schema and queries in order to generate code. -
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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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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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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. -
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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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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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DbTpl
Command line tool to generate idiomatic Go code for SQL databases
dbtpl is a Go-based tool that brings templated SQL into your codebase in a clean and structured way. It allows developers to define raw SQL queries in .tpl.sql files and compile them into Go code with strong typing and minimal overhead. By combining SQL’s power with Go’s safety and performance, dbtpl is ideal for teams that want full SQL control without sacrificing maintainability. -
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Vitess
Vitess is a database clustering system for horizontal scaling of MySQL
Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. With Vitess, you can even split and merge shards as your needs grow, with an atomic cutover step that takes only a few seconds. Vitess has been a core component of YouTube's database infrastructure since 2011, and has grown to encompass tens of thousands of MySQL nodes. -
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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. -
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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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Pop Database
A Tasty Treat For All Your Database Needs
Pop is a data access toolkit for Go that simplifies database interactions. It combines the power of an ORM with the flexibility of SQL, providing developers with tools to manage database schemas, run migrations, and perform CRUD operations. -
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pgstream
PostgreSQL replication with DDL changes
pgstream is an open source CDC command-line tool and library that offers Postgres replication support with DDL changes to any provided output. One of the main differentiators of pgstream is the fact that it tracks and replicates schema changes automatically. It relies on SQL triggers that will populate a Postgres table (pgstream.schema_log) containing a history log of all DDL changes for a given schema. Whenever a schema change occurs, this trigger creates a new row in the schema log table with the schema encoded as a JSON value. This table tracks all the schema changes, forming a linearised change log that is then parsed and used within the pgstream pipeline to identify modifications and push the relevant changes downstream.
