Open Source Go Database Software
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Go Database Software
View 433 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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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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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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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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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. -
Cybersecurity Solutions to Protect, Detect and Respond Against CyberattacksFrom system upgrades or a move to the cloud … to applications meant to improve the customer experience … and to integral third-party relationships, one misstep can cascade into IP theft, wire fraud, ransomware, data breaches and more; not to mention regulatory action, civil litigation and reputational damage. That’s why we’ve structured end-to-end solutions to manage the entire threat lifecycle.
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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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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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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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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. -
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LiteSQL is a codegenerator and C++ library that integrates C++ objects tightly to relational database and thus provides an object persistence layer. LiteSQL supports SQLite3, PostgreSQL, MySQL and oracle as backends.
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Small Business HR Management SoftwareWorkforceHub is the instantly useful, delightfully simple to use, small business solution for tracking time, scheduling and hiring. It scales as your business grows while delivering the mission-critical features an organization needs. It is tailored to, built for, and priced for small business employers.
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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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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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TiDB
Open Source NewSQL Database
TiDB is an open source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is currently the most actively developed open source NewSQL database, and has a rich set of features including horizontal scalability, strong consistency, and high availability. -
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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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goqu
SQL builder and query library for golang
SQL builder and query library for golang. goqu is an expressive SQL builder and executor. Query builder, parameter interpolation (e.g SELECT * FROM "items" WHERE "id" = ? -> SELECT * FROM "items" WHERE "id" = 1). Built from the ground up with multiple dialects in mind. Insert, multi insert, update, and delete support. Scanning of rows to struct[s] or primitive value[s]. While goqu may support the scanning of rows into structs it is not intended to be used as an ORM if you are looking for common ORM features like associations, or hooks I would recommend looking at some of the great ORM libraries. The test suite requires a postgres, mysql and sqlserver databases. -
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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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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. -
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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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Beerus-DB
Beerus-DB is a database operation framework
Beerus-DB is a database operation framework, currently only supports Mysql, Use [go-sql-driver/mysql] to do database connection and basic operations, based on this do a lot of extensions, such as, connection pool management, multiple data sources, transaction management, single table no sql operation, multiple tables and complex operations can write their own sql, sql support {} placeholder, can use struct as parameters to operate the database, etc. -
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Blue Whale Configuration Platform
Blue Whale smart cloud configuration platform
Has accumulated experience in supporting hundreds of Tencent businesses, compatible with various complex system architectures, born in operation and maintenance, and proficient in operation and maintenance. From configuration management to job execution, task scheduling and monitoring self-healing, and then through operation and maintenance big data analysis to assist operational decision-making, it covers the full-cycle assurance management of business operations in a comprehensive manner. The open PaaS has a powerful development framework and scheduling engine, as well as a complete operation and maintenance development training system, which helps the rapid transformation and upgrading of operation and maintenance. Through the Blue Whale intelligent cloud system, it can help enterprises quickly realize the automation of basic operation and maintenance services, thereby accelerating the transformation of DevOps, realizing a tool culture, and maximizing operational efficiency. -
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Bolt
An embedded key/value database for Go
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. Since Bolt is meant to be used as such a low-level piece of functionality, simplicity is key. The API will be small and only focus on getting values and setting values. That's it. Bolt is stable, the API is fixed, and the file format is fixed. Full unit test coverage and randomized black box testing are used to ensure database consistency and thread safety. Bolt is currently used in high-load production environments serving databases as large as 1TB. Many companies such as Shopify and Heroku use Bolt-backed services every day. Please note that Bolt obtains a file lock on the data file so multiple processes cannot open the same database at the same time. -
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Cayley
An open-source graph database
Cayley is a free and open source database for Linked Data. Inspired by the graph database behind Google's Knowledge Graph (formerly Freebase), it offers a similar experience for Freebase fans and more. Cayley has a built-in query editor, visualizer and REPL, as well as support for multiple Query languages, including Gizmo (Gremlin dialect), MQL and GraphQL dialect. Cayley is also highly modular, so you can easily extend and connect it to your favorite programming languages and back-end stores. Cayley works on top of your existing database no matter the data model. It’s been well tested by numerous companies for their production workloads and is therefore very production-ready. -
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ClickHouse Go
Golang driver for ClickHouse
Golang SQL database client for ClickHouse. There are two version of this client, v1 and v2, available as separate branches. v1 is now in a state of maintenance, we will only accept PRs for bug and security fixes. Uses ClickHouse native format for optimal performance. Utilizes low level ch-go client for encoding/decoding and compression (versions >= 2.3.0). Supports native ClickHouse TCP client-server protocol. Compatibility with database/sql (slower than native interface!). Database/sql supports http protocol for transport. (Experimental). Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. LZ4/ZSTD compression support. External data. -
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CloverDB
A lightweight document-oriented NoSQL database written in pure Golang
CloverDB is a lightweight NoSQL database designed to be simple and easily maintainable, thanks to its small code base. It has been inspired by tinyDB. CloverDB has been written for being easily maintainable. As such, it trades performance with simplicity and is not intended to be an alternative to more performant databases such as MongoDB or MySQL. However, there are projects where running a separate database server may result overkilled, and, for simple queries, network delay may be the major performance bottleneck. For such scenarios, CloverDB may be a more suitable alternative. Previously, CloverDB relied on the Badger key-value store as a storage layer. However, Badger is not suitable for every scenario (for example, when the database size is a constraint). This is why, the storage layer of CloverDB has been abstracted through a set of interface types to work with any key-value store. At the moment, CloverDB can work with both Badger and Bolt (by default Bolt is used). -
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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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CovenantSQL
A decentralized, trusted, high performance, SQL database
CovenantSQL(CQL) is a decentralized, GDPR-compliant, trusted, SQL database with blockchain features. ServerLess: Free, High Availabile, Auto Sync Database Service for Serverless App. GDPR-compliant: Zero pain to be GDPR-compliant.. SQL: Most SQL-92 support. Decentralize: Running on Open Internet without Central Coordination. Privacy: Access with Granted Permission and Encryption Pass. Immutable: Query History in CQL is Immutable and Trackable. Permission: Column Level ACL and SQL Pattern Whitelist. CovenantSQL provides a cql command line toolset for terminal users to access and manage user accounts, wallet balances, and databases. For security, the private key file is usually encrypted with a master key. A master key is individually chosen by the user while creating an account and is memorized or kept somewhere by the user -- note that the config file will not keep the master key. When the private key is required by the cql command, it will ask the user to input the master key.