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neo4j

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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neo4j Alternatives

The best neo4j alternatives based on verified products, votes, reviews and other factors.
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  1. A distributed open-source database with a flexible data model for documents, graphs, and key-values.

  2. OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

  3. Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

  4. Manage a massive range of data fast and without losing.

  5. Open-source graph database.

  6. NoSQL JSON database for rapid, iterative app development.

  7. Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.

  8. Built like a hedge fund.

  9. FlockDB is a distributed graph database for storing adjancency lists, with goals of supporting high rate of add/update/remove operations.

  10. Redis Enterprise in-memory database platform for real-time applications

  11. FileMaker Pro Advanced includes all the features of FileMaker Pro plus a set of advanced tools so you can rapidly build powerful custom apps.

  12. HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs.

neo4j Reviews

A list of external sources with helpful reviews and comparisons of neo4j

ArangoDB vs Neo4j - What you can't do with Neo4j
Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries...
Read all neo4j reviews โ†’

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This article was published on | Author: | Publisher: SaaSHub
Categories: Graph Databases, Big Data, Databases