Memgraph VS neo4j
Compare Memgraph VS neo4j and see what are their differences
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Memgraph
FalkorDB
TigerGraph DB
ArangoDB
Dgraph
Azure Cosmos DB
Serverless Headless CMS by Webiny
TerminusDB
neo4j
ArangoDB
Redis
OrientDB
MongoDB
Apache Cassandra
Azure Cosmos DB
CouchBase
Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.
Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.
Memgraph neo4jThe product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
neo4j might be a bit more popular than Memgraph. We know about 34 links to it since March 2021 and only 23 links to Memgraph. 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.
Suggestion: check out Memgraph for graph db storage - https://memgraph.com/. I work at Memgraph as DX Engineer so feel free to ping me in case you have questions about it: https://memgraph.com/office-hours Your solution looks interesting and I would love to hear more about it. I haven't seen that many PageRank-based graph exploration tools. - Source: Hacker News / 6 months ago
Memgraph — Real-time graph database for streaming data. - Source: dev.to / 10 months ago
Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / about 1 year ago
Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / over 1 year ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / almost 2 years 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 / 8 days ago
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 10 days ago
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 2 months ago
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 4 months ago
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago
FalkorDB - Build Fast and Accurate GenAI Apps with GraphRAG at Scale
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
Dgraph - A fast, distributed graph database with ACID transactions.