Open Source Go Database Software - Page 2
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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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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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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. -
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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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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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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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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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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure. The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. Using the copy-on-write capabilities of ZFS, the DLE is able to generate full-size replicas of the production database in seconds. These writable "thin clones" will behave identically to production: they will have the same data and generate the same query plans. Instances of the Database Lab Engine (DLE) and all thin clones reside completely within your own infrastructure at all times. -
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Genji
Document-oriented, embedded SQL database
Genji is an embedded database written in Go that aims to simplify dealing with data in the modern world. It combines the power of SQL with the versatility of documents to provide a maximum of flexibility with no compromise. Run powerful queries on rich documents with an expressive SQL syntax. Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. Genji was designed for simplicity in mind. It is really easy to insert and read documents of any shape. Genji mixes the best of both worlds by combining powerful SQL commands with JSON. Genji tables are schemaless, but it is possible to add constraints on any field to ensure the coherence of data within a table. -
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Greenmask
PostgreSQL database anonymization and synthetic data generation tool
Greenmask is a powerful open-source utility that is designed for logical database backup dumping, obfuscation, and restoration. It offers extensive functionality for backup, anonymization, and data masking. Greenmask is written in pure Go and includes ported PostgreSQL libraries that allows for platform independence. This tool is stateless and does not require any changes to your database schema. It is designed to be highly customizable and backward-compatible with existing PostgreSQL utilities. The Greenmask utility plays a central role in the Greenmask ecosystem. Our goal is to develop a comprehensive, UI-based solution for managing obfuscation procedures. We recognize the challenges of maintaining obfuscation consistency throughout the software lifecycle. Greenmask is dedicated to providing valuable tools and features that ensure the obfuscation process remains fresh, predictable, and transparent. -
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KubeBlocks
KubeBlocks is an open-source control plane that runs and manages datab
Building data infrastructure on K8s has become increasingly popular. However, the most prominent obstacles are the difficulties of integrating with cloud providers, the lack of reliable operators, and the steep learning curve of K8s. KubeBlocks offers an open-source option that helps application developers and platform engineers set up feature-rich services for RDBMS, NoSQL, streaming and analytical systems. No need to be a K8s professional, anyone can set up a full-stack, production-ready data infrastructure in minutes. KubeBlocks extends K8s StatefulSet capability with ReplicationSet and ConsensusSet workloads. They are aware of different roles in a database cluster, and choose the best update strategy with minimal impact on business continuity, monitoring data replication status and automatically fixing errors and lags. -
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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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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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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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Scry.info blockchain Data Protocol
This is the first data protocol layer open source in the blockchain
By providing SDK for data exchange through blockchain, developers can more conveniently develop DAPP applications. It mainly includes the following contents:data encryption and decryption, digital signature, smart contract, event notification, data storage interface, data acquisition and query, digital currency payment, the third-party App payment interface, etc. -
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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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Bitalosdb
Bitalosdb is a high-performance KV storage engine
BitalosDB is a distributed, high-performance key-value database designed for cloud-native applications. It is optimized for scalability, supporting large workloads while maintaining low latency and high availability. -
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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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BoltHold
BoltHold is an embeddable NoSQL store for Go types built on BoltDB
Bolthold is a simple, embedded key/value store for Go, built on top of BoltDB, offering query and indexing capabilities. -
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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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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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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. -
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Create Go App CLI
Create a new production-ready project with backend, and frontend
Create a new production-ready project with backend, frontend and deploy automation by running one CLI command! Focus on writing code and thinking of business-logic! The CLI will take care of the rest. Next, open the generated Ansible inventory file (called hosts.ini) and fill in the variables according to your server configuration. And you're ready to automatically deploy this project. If you don't want to install Create Go App CLI to your system, you feel free to using our official Docker image and run CLI from isolated container. CLI command for deploy Docker containers with your project via Ansible to the remote server. Configured PostgreSQL container with apply migrations for backend. Frontend part will be generate using awesome tool Vite.js under the hood. So, you'll always get the latest version of React, Preact, Vue, Svelte, Lit or pure JavaScript/TypeScript templates.
