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FalkorDB is developing a novel graph database that revolutionizes the graph databases and AI industries. Our graph database is based on novel but proven linear algebra algorithms on sparse matrices that deliver unprecedented performance up to two orders of magnitude greater than the leading graph databases. Our goal is to provide the missing piece in AI in general and LLM in particular, reducing hallucinations and enhancing accuracy and reliability. We accomplish this by providing a fast and interactive knowledge graph, which provides a superior solution to the common solutions today. | Davra is a full-stack application enablement platform for the industrial Internet of Things (IoT). It provides the tools and technologies to launch intelligent, connected solutions quickly, securely, and at scale. |
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Work with structured and unstructured data, ✓
Ontology auto-detection, ✓
Built-in agent orchestrator, ✓
Real-time applications, ✓
Rich context and memory | Application Enablement, Device Management, Unified Data Platform, Anomaly Detection, Data Visualisation, Integrations, AI Agents, Predictive Modeling |
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Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.

RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering

Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.

It is a fully open-source high-performance graph database supporting the RDF data model and RDR. It operates as an embedded database or over a client/server REST API.

It is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, it empowers agents to work together seamlessly, tackling complex tasks.

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

Is an all-in-one AI coding platform that allows you build apps and websites by chatting with AI. YouWare enables full-stack code generation and deployment with a shareable URL instantly. no code, no setup, no hassle.

The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.
QonQrete is a local-first, agentic AI orchestration system designed for secure, observable, and human-in-the-loop software construction. It coordinates autonomous AI agents to plan, execute, and review code generation — all within an isolated sandbox environment on your own infrastructure. Think of it like a local-first, agentic AI “construction yard” that plans, writes, reviews, and version-controls your code inside a safe sandbox on your own machine.