neo4j
ArangoDB
Redis
OrientDB
MongoDB
Azure Cosmos DB
Apache Cassandra
CouchBase
RiteSync
Hevo Data
EMS SQL Manager
RiteSync simplifies data extraction and synchronization, seamlessly integrating Fusion SaaS with your Data Warehouse. Experience substantial cost savings of up to 60%, with an added 50% reduction in cloud data extraction expenses. Extend your integration capabilities effortlessly to external systems and maximize returns on Data Warehouse investments. RiteSync offers flexible pricing models, including 'Pay for Use,' reducing capital expenditure while providing adaptable adaptor options and flexible scheduling for loading data directly into various database/file types. Rest assured, RiteSync ensures the security of confidential data, compliant with HIPAA regulations, and hosted within secure Oracle-managed or Customer Datacenter compute systems.
neo4j
RiteSyncBased on our record, neo4j seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 6 months ago
Perhaps the biggest promoter of the term has been Philip Rathle from Neo4j, which offers the best-known graph database system for storing knowledge graphs. But here's where the confusion starts: Is a knowledge graph something you store, or is it how you store something? It's not just a knowledge graphโit's also a graph database. That distinction matters, but the boundaries are blurry. - Source: dev.to / 8 months ago
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / over 1 year ago
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / over 1 year ago
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / over 1 year ago
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Hevo Data - Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. Get near real-time data pipelines for reporting and analytics up and running in just a few minutes. Try Hevo for Free today!
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
EMS SQL Manager - EMS SQL Manager is a complete suite of SQL management tools, providing time-tested management and maintenance tools intended for the worldโs most leading database management system.
OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.