Search Results for "stores"
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Showing 133 open source projects for "stores"
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Commanded EventStore
Event store using PostgreSQL for persistence
Commanded EventStore is an Elixir-based event store built for event-sourced systems using the Commanded framework. It stores domain events as immutable facts and provides mechanisms for publishing, persisting, and querying events. Built with PostgreSQL as its backend, it ensures strong consistency and is optimized for CQRS architectures. -
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EventStoreDB
The stream database optimised for event sourcing
Persist your application data as streams of events with our open-source database, the best data storage solution for event-sourced systems. Available for free download on most platforms or use our managed service Event Store Cloud. EventStoreDB is an open-source database technology that stores your critical data in streams of immutable events. It was built from the ground up for Event Sourcing, we believe that makes it the best solution in the market for building event-sourced systems. Event Sourcing offers some great benefits over state-oriented systems; the key ones are explained below. An event-sourced system stores your data as a series of immutable events over time, providing one of the strongest audit log options available. ... -
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QuivrHQ
Opiniated RAG for integrating GenAI in your apps
...It serves as a "second brain," enabling users to build powerful AI-driven assistants that can process and retrieve information efficiently. Quivr supports various large language models and vector stores, providing flexibility and customization for developers. -
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JsonDB
A simple "database" that use JSON file for Node.JS.
JsonDB is now using the concept of async/await for all its calls since we read from the database file on demand and depending on how the database is configured, we might write at each push. The module stores the data using JavaScript Object directly into a JSON file. You can easily traverse the data to directly reach the desired property using the DataPath. The principle of DataPath is the same as XMLPath. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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GridDB
GridDB is a next-generation open source database
...GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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Dragonfly
A modern replacement for Redis and Memcached
...Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. ... -
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BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause)... -
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pg_analytics
DuckDB-powered analytics for Postgres
pg_analytics (formerly named pg_lakehouse) puts DuckDB inside Postgres. With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch. -
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Keyv
Simple key-value storage with support for multiple backends
Keyv is a simple key-value storage system that supports multiple backends. It's designed to be a simple and consistent way to work with key-value stores. -
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WhoDB
A lightweight next-gen data explorer
WhoDB is a lightweight audit logging extension for PostgreSQL that helps track who accessed what data and when. It uses logical decoding and hooks into PostgreSQL internals to log query metadata, user identities, and timestamps in a separate audit schema. WhoDB is useful for compliance, security monitoring, and debugging in multi-user environments. -
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ScalarDB
Universal HTAP Engine
ScalarDB is an open-source, multi-storage transactional database library that adds ACID-compliant transactions to various NoSQL and key-value databases like Cassandra, DynamoDB, and CosmosDB. -
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Laravel DB Snapshots
Quickly dump and load databases
Laravel DB Snapshots is a package that allows you to easily create, load, and manage database snapshots within Laravel applications. It’s especially useful in testing and staging environments where resetting the database to a known state is critical. By integrating with Laravel’s Artisan commands, the tool offers a streamlined developer experience. -
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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that keeps backends simple and consistent. -
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Vercel Storage
Vercel Postgres, KV, Blob, and Edge Config
Vercel Storage is a unified SDK and platform integration layer for accessing various storage backends like Redis, Postgres, and KV stores. It simplifies reading, writing, and managing data in serverless applications hosted on Vercel. The SDK provides a consistent developer experience with optimized performance for edge functions. -
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Garnet
Garnet is a remote cache-store from Microsoft Research
...It delivers high throughput and low‑latency performance, supports scalability via clustering (sharding, replication, key migration, checkpointing, failover, transactions), and seamlessly integrates with existing Redis clients. Garnet offers much better throughput and scalability with many client connections and small batches, relative to comparable open-source cache-stores, leading to cost savings for large apps and services. Garnet demonstrates extremely low client latencies (often less than 300 microseconds at the 99.9th percentile) using commodity cloud (Azure) VMs with Accelerated Networking enabled, which is critical to real-world scenarios. -
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ArangoDB JavaScript Driver
The official ArangoDB JavaScript driver
ArangoJS is the official JavaScript client for ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph data models. This client provides a powerful yet simple API to interact with ArangoDB from Node.js or browser-based applications. -
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Aerospike Node.js Client
Node.js client for the Aerospike database
Aerospike Node.js Client is the official Node.js driver for Aerospike, a high-performance NoSQL database optimized for real-time applications. It provides low-latency access to key-value stores and supports advanced data structures for AI, financial, and IoT applications. -
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UltraLiteDB
A bare-bones C# .NET Key-value Store in a single database file
UltraLiteDB is a lightweight, embedded NoSQL database for .NET applications, inspired by LiteDB. It is designed for minimal resource usage while providing essential document database functionalities. UltraLiteDB is suitable for desktop, mobile, and IoT applications that need local data storage without requiring a separate database server. -
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Apache Cassandra
Open source transactional distributed database
Apache Cassandra is an open-source distributed database built for highly scalable, fault-tolerant data workloads. It stores information in partitioned tables organized by rows, columns, and required primary keys. Data is distributed across multiple machines transparently, and the cluster automatically repartitions when nodes are added or removed. Cassandra Query Language offers an SQL-like interface for defining schemas and performing reads and writes. -
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Duplicati
Store securely encrypted backups in the cloud!
Duplicati is a free and open source backup client for securely storing your data. Duplicati stores encrypted, incremental, compressed backups on cloud storage services and remote file servers using AES-256 encryption, keeping your data safe and always updated. It works with most storage services, including Google Cloud and Drive, Amazon S3, Microsoft Azure and OneDrive, Dropbox, FTPOpenStack Storage (Swift), SSH (SFTP), WebDAV, Tencent Cloud Object Storage (COS), and more! -
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Irmin
Irmin is a distributed database
Irmin is an OCaml library for building mergeable, branchable distributed data stores. A distributed database built on the same principles as Git. Backup and restore your data at any point in time. You can use Irmin on top of your own storage layer. Automatic (de)serialization for custom data types. Runs anywhere from Linux to web browsers and Xen unikernels. Bi-directional compatibility with the Git on-disk format. -
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BuntDB
Database for Go with custom indexing and geospatial support
...Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. The API is simple, and the library is easy to embed into Go apps. -
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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. ... -
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realm by MongoDB
Realm is a mobile database, an alternative to SQLite key-value stores
Realm’s mobile database is an open-source, developer-friendly alternative to CoreData and SQLite. Start in minutes, port your app in hours, and save yourself weeks of work. Realm’s object-oriented data model is simple to learn, doesn’t need an ORM, and lets you write less code. Realm’s local database persists data on-disk, so apps work as well offline as they do online. Realm is fully-featured, lightweight, and efficiently uses memory, disk space, and battery life. Realm was built for mobile... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
...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. ...
