Search Results for "real"
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Showing 169 open source projects for "real"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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PGlite
Lightweight WASM Postgres with real-time, reactive bindings
PGlite is a lightweight, WebAssembly (WASM) build of Postgres designed to run directly in JavaScript environments such as browsers, Node.js, Bun, and Deno, without the need for additional dependencies. It allows developers to run Postgres in-memory or with persistence to IndexedDB or local file systems, offering a simple yet powerful solution for local-first, real-time applications. At under 3MB gzipped, PGlite is optimized for efficiency and includes dynamic extension loading, support for pgvector, and real-time sync capabilities with ElectricSQL. It's ideal for building reactive apps with live queries and syncing data between a cloud Postgres instance and a local PGlite database. -
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ParadeDB
ParadeDB is a modern Elasticsearch alternative built on Postgres
ParadeDB is an open-source search and analytics engine built on top of PostgreSQL. It serves as a modern alternative to Elasticsearch, offering real-time search capabilities for update-heavy workloads. By leveraging PostgreSQL's robustness, ParadeDB provides a scalable and efficient solution for full-text search and analytics. -
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SpacetimeDB
Multiplayer at the speed of light
SpacetimeDB is a high-performance, distributed database optimized for real-time multiplayer applications. It offers low-latency data synchronization across clients, ensuring a seamless and responsive user experience. With built-in conflict resolution and support for complex data types, SpacetimeDB simplifies the development of interactive, collaborative applications. -
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Flink CDC
Flink CDC is a streaming data integration tool
Apache Flink CDC is a distributed data integration tool that captures data changes in real-time from various databases. It leverages Change Data Capture (CDC) technology to stream data changes into Apache Flink, enabling real-time analytics and data processing. Flink CDC simplifies data pipeline development with its declarative YAML configurations. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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River SQL
Fast and reliable background jobs in Go
River is a durable background job system for Ruby on Rails, designed for reliability, observability, and simplicity. It provides persistent queues, native Active Job support, automatic retries, and real-time job monitoring through its admin interface. River focuses on clear diagnostics, performance, and minimal configuration, making it ideal for production-ready job handling in Rails apps. -
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pg_flo
Stream, transform, and route PostgreSQL data in real-time
The easiest way to move and transform data between PostgreSQL databases. -
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PeerDB
Fast, Simple and a cost effective tool to replicate data from Postgres
PeerDB is an open-source platform for real-time replication and transformation of data from PostgreSQL to analytical warehouses like BigQuery and Snowflake. It supports Change Data Capture (CDC) and provides seamless syncing and transformation logic with low latency. PeerDB is ideal for teams building real-time data pipelines without relying on expensive proprietary solutions. -
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Canal
MySQL binlog
Canal is an open-source project developed by Alibaba that simulates MySQL slave functionality to parse MySQL binlog files. It enables real-time data synchronization and change data capture (CDC) between MySQL and other systems such as Elasticsearch, Kafka, or HBase. Canal is widely used for data integration, replication, and monitoring across distributed systems, offering high performance and low-latency log parsing. -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Cloud Firestore
Node.js client for Google Cloud Firestore: a NoSQL document database
The official Firestore client for Node.js, enabling seamless interaction with Google Cloud Firestore, a NoSQL document database optimized for real-time applications. -
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Supabase
The open source Firebase alternative
Create a backend in less than 2 minutes. Start your project with a Postgres database, authentication, instant APIs, real-time subscriptions and storage. Every project is a full Postgres database, the world's most trusted relational database. Add user sign-ups and logins, securing your data with Row Level Security. Store, organize and serve large files. Any media, including videos and images. Write custom code and cron jobs without deploying or scaling servers. -
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PocketBase
Open Source realtime backend in 1 file
PocketBase is an open-source backend written in Go, packaged as a single binary. It features an embedded SQLite database, real-time subscriptions, built-in authentication and file management, a web-based admin dashboard, and a simple REST-style API—ideal for building self‑contained apps on a single server. -
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Cloudberry
One advanced and mature open-source MPP
Apache Cloudberry is a distributed real-time analytics engine designed for querying massive social media datasets. It integrates with Apache AsterixDB and supports efficient ad-hoc queries and aggregations across large volumes of data. Cloudberry is especially useful for dashboards, trend analysis, and time-series social data exploration. -
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pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
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Teable
The Next Gen Airtable Alternative: No-Code Postgres
Teable is a next-generation, no-code platform that serves as an alternative to Airtable, built on top of PostgreSQL. It offers a real-time, developer-friendly interface for managing databases without writing code. Teable is designed for high performance and scalability, making it suitable for both small projects and enterprise applications. -
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GridDB
GridDB is a next-generation open source database
A cyber-physical systems is a system that collects a variety of data in physical space (the real world), analyzes and converts it into knowledge in cyberspace, and feeds the knowledge back to the real world to revitalize industry and solve social problems. 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. ... -
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Supabase JS
An isomorphic Javascript client for Supabase
supabase-js is the official JavaScript client library for interacting with Supabase services. It enables developers to easily access Supabase’s Postgres database, authentication, storage, and real-time subscriptions through a unified client. Designed for frontend and full-stack apps, supabase-js integrates smoothly with modern frameworks and supports both browser and server environments. -
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RavenDB
ACID Document Database
A NoSQL document database designed for high-performance, real-time applications with built-in distributed capabilities. -
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CrateDB
CrateDB is a distributed and scalable SQL database
CrateDB is a distributed SQL database designed for massive machine data and real-time analytics. It combines the scalability and performance of NoSQL with the power and simplicity of SQL, allowing for horizontal scaling, full-text search, and complex queries over large datasets. Built in Java and powered by Elasticsearch and Lucene, CrateDB is optimized for high-velocity data ingestion and dynamic queries. -
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Memgraph
Open-source graph database, tuned for dynamic analytics environments
A high-performance, in-memory graph database designed for real-time analytics and complex network data processing. -
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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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AceBase realtime database
A fast, low memory, transactional, index, query enabled NoSQL database
A fast, low memory, transactional, index & query enabled NoSQL database engine and server for node.js and browser with real-time data change notifications. Supports storing of JSON objects, arrays, numbers, strings, booleans, dates, begins, and binary (ArrayBuffer) data. Inspired by (and largely compatible with) the Firebase real-time database, with additional functionality and less data sharding/duplication. Capable of storing up to 2^48 (281 trillion) object nodes in a binary database file that can theoretically grow to a max filesize of 8 petabytes. ... -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. -
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ConcourseDB
Distributed database warehouse for transactions, search and analytics
ConcourseDB is a distributed, self-tuning database designed for real-time applications, offering strong consistency and ACID compliance without requiring complex configurations. It provides dynamic schema support and automatic indexing. -
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pglogical
Logical Replication extension for PostgreSQL
...Unlike physical replication, it enables fine-grained control of which tables or changes to replicate. It’s well-suited for multi-master setups, version upgrades, and real-time data distribution across environments.
