Search Results for "wire"
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Showing 8 open source projects for "wire"
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1
ReadySet
Readyset is a MySQL and Postgres wire-compatible caching layer
ReadySet is a SQL caching engine designed to improve query response times and scalability for PostgreSQL and MySQL databases. It acts as a transparent caching layer, automatically maintaining cached query results and serving them with sub-millisecond latency, without requiring changes to application code. -
2
dqlite
Embeddable, replicated and fault tolerant SQL engine
...It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client and a documented wire protocol for other languages. Runs on ARM, X86, POWER and IBM Z architectures. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. -
3
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. -
4
QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. ... -
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5
jdbi
jdbi is designed to provide convenient tabular data access in Java
...Unlike an ORM, we do not aim to provide a complete object-relational mapping framework - instead of that hidden complexity, we provide building blocks that allow you to construct the mapping between relations and objects as appropriate for your application. The Core API provides a fluent, imperative interface. Use Builder style objects to wire up your SQL to rich Java data types. -
6
FerretDB
A truly Open Source MongoDB alternative
MongoDB is a life-changing technology for many developers, empowering them to build applications faster than using relational databases. However, MongoDB abandoned its Open-Source roots, changing the license to SSPL making it unusable for many Open Source and Commercial Projects. FerretDB is going to be a perfect solution for those looking for MongoDB development experience available as fully Open Source Software. The core of our solution is a stateless proxy, which converts MongoDB protocol... -
7
go-mysql-server
A MySQL-compatible relational database with a storage agnostic query
go-mysql-server is a data-source agnostic SQL engine and server which runs queries on data sources you provide, using the MySQL dialect and wire protocol. A simple in-memory database implementation is included, and you can query any data source you want by implementing your own backend. Dolt, a SQL database with Git-style versioning, is the main production database implementation of this package. Check out that project for a reference implementation. Or, hop into the Dolt Discord server here if you want to talk to the core developers behind go-mysql-server and Dolt. -
8
NoisePage
Self-Driving Database Management System
NoisePage is a relational database management system (DBMS) designed from the ground up for autonomous deployment. It uses integrated machine learning components to control its configuration, optimization, and tuning. The system will support automated physical database design (e.g., indexes, materialized views, sharding), knob configuration tuning, SQL tuning, and hardware capacity/scaling. Our research focuses on building the system components that support such self-driving operations with...
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