Redcon is a custom Redis server framework for Go that is fast and simple to use. The reason for this library it to give an efficient server front-end for the BuntDB and Tile38 projects. Redcon has full TLS support.

Redcon - Redis compatible server framework for Go

This is an implementation of the LevelDB key/value database in the Go programming language.

goleveldb - LevelDB key/value database in Go.

CockroachDB is a cloud-native SQL database for building global, scalable cloud services that survive disasters.CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.
 
CockroachDB supports the PostgreSQL wire protocol, so you can use any available PostgreSQL client drivers.

CockroachDB is a cloud-native SQL database for building global, scalable cloud services that survive disasters.CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.

CockroachDB - Cloud-native SQL database.

LinDB is an open-source Time Series Database which provides high performance, high availability and horizontal scalability. LinDB takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. Unlike writing a lot of Continuous-Query for InfluxDB, LinDB supports rollup in specific interval automatically after creating the database. Moreover, LinDB is extremely fast for parallel querying and computing of distributed time series data.
 
LinDB supports Metric + Tags + Fields, and is schema-free; The LinQL is handy for realtime data analytics. Tags based sharding strategy in LinDB solves the hotspots problem, and is truly horizontally expanded available by simply adding new broker and storage nodes.

LinDB is an open-source Time Series Database which provides high performance, high availability and horizontal scalability. LinDB takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. Unlike writing a lot of Continuous-Query for InfluxDB, LinDB supports rollup in specific interval automatically after creating the database. Moreover, LinDB is extremely fast for parallel querying and computing of distributed time series data.


Lindb - Distributed Time Series Database

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL. 
 
VictoriaMetrics provides global query view. Multiple Prometheus instances or any other data sources may ingest data into VictoriaMetrics. Later this data may be queried via a single query.

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL. 

VictoriaMetrics - Fast, cost-effective and scalable monitoring solution and time series database

immudb is a database with built-in cryptographic proof and verification. It can track changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the server. It can operate as a key-value store or as relational database (SQL).
 
Traditional database transactions and logs are hard to scale and are mutable, so 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 changed silently.
 
Data stored in immudb is cryptographically coherent and verifiable, just like blockchains, but without all the complexity. 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. Companies use immudb to protect credit card transactions and to secure processes by storing digital certificates and checksums.

immudb is a database with built-in cryptographic proof and verification. It can track changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the server. It can operate as a key-value store or as relational database (SQL).

immudb - world’s fastest immutable database

RadonDB is a cloud-native database based on MySQL. It’s architected to fully distributed cluster that delivering unlimited scalability (scale-out), capacity and performance. It supports distributed transaction capability for high data consistency, and leverage MySQL as storage engine with trusted data reliability. RadonDB is compatible with MySQL protocol, at mean time supports automatic table sharding, that simplifying the maintenance and operation workflow.
 
Its features include Automatic Table Sharding, Distributed Transaction, Distributed Joins, Distributed Full Text Search, Parallel Execution, Connection Thread Pool, Auditing and Logging and lot more.

RadonDB is a cloud-native database based on MySQL. It’s architected to fully distributed cluster that delivering unlimited scalability (scale-out), capacity and performance. It supports distributed transaction capability for high data consistency, and leverage MySQL as storage engine with trusted data reliability. RadonDB is compatible with MySQL protocol, at mean time supports automatic table sharding, that simplifying the maintenance and operation workflow.

RadonDB  - Cloud-native MySQL database for building global, scalable cloud services

InfluxDB is an open-source, distributed, time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics. Everything in InfluxDB is a time series that you can perform standard functions on like min, max, sum, count, mean, median, percentiles, and more. Collect your data on any interval and compute rollups on the fly later.

InfluxDB - Distributed Time Series Database

MarketStore is a database server optimized for financial timeseries data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, including tick-level for the all US equities or the exploding crypto currencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem.
 
The batteries are included so you can start pulling crypto price data from GDAX right after you install MarketStore. Then you can query DataFrame content over the network at as low latency as your local HDF5 files from disk, and appending new data to the end is two orders of magnitude faster than DataFrame would be. This is because the storage format is optimized for the type of data and use cases as well as for modern filesystem/hardware characteristics.

 MarketStore is a database server optimized for financial timeseries data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, including tick-level for the all US equities or the exploding crypto currencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem.

Marketstore - DataFrame Server for Financial Timeseries Data

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.
 
Thin cloning is possible due to <a href="https://en.wikipedia.org/wiki/Copy-on-write" target="_blank" rel="noopener noreferrer">copy-on-write</a>&nbsp;capabilities provided by either&nbsp;<a href="https://en.wikipedia.org/wiki/ZFS" target="_blank" rel="noopener noreferrer">ZFS filesystem</a>&nbsp;or&nbsp;<a href="https://en.wikipedia.org/wiki/Logical_Volume_Manager_(Linux)" target="_blank" rel="noopener noreferrer">LVM2</a>. As an example, cloning of 10 TiB PostgreSQL database takes less than 2 seconds when a single user is using the Database Lab Engine instance, and up to 30 seconds when 15 users are working with it at the same time.

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.

Database Lab Engine - Thin database clones for faster development

EdgelessDB is a full SQL database, tailor-made for confidential computing. It seamlessly integrates with your existing tools and workflows to help you unlock the full potential of your data. All data stored and processed in EdgelessDB is always encrypted and isolated—even in system memory at runtime. Your data is protected even from rogue system administrators, rootkits, and other powerful attackers. This makes EdgelessDB the most secure and most versatile option available for both storing and processing data.
 
Architecturally, EdgelessDB is based on MariaDB. As storage engine, it uses an enhanced version of RocksDB. The file encryption of EdgelessDB's storage engine is designed and built for the enclave and its very strong attacker model. In this context, EdgelessDB's storage engine provides confidentiality, integrity, freshness, auditability, and recoverability for data. Other databases, even when running inside enclaves using general-purpose frameworks, do not have these security properties.

EdgelessDB is a full SQL database, tailor-made for confidential computing. It seamlessly integrates with your existing tools and workflows to help you unlock the full potential of your data. All data stored and processed in EdgelessDB is always encrypted and isolated—even in system memory at runtime. Your data is protected even from rogue system administrators, rootkits, and other powerful attackers. This makes EdgelessDB the most secure and most versatile option available for both storing and processing data.

EdgelessDB - MySQL-compatible database for confidential computing

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.

sql_exporter - Database agnostic SQL exporter for Prometheus

Cache library for golang. It supports expirable Cache, LFU, LRU and ARC.Supports expirable Cache, LFU, LRU and ARC.

gcache - Cache library for golang. It supports expirable Cache, LFU, LRU and ARC.

 Package slowpoke is a simple key/value store written using Go's standard library only. Keys are stored in memory (with persistence), values stored on disk. Keys are stored in memory with persistence to disk. Values stored on disk only.

Slowpoke - Low-level key/value store in pure Go

Discover open source projects across all platforms

Projects