Amazon Neptune Alternatives
MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need
- - MongoDB is the most popular Web-based, Windows, Mac & Linux alternative to Amazon Neptune.
- - MongoDB is the most popular free alternative to Amazon Neptune.
Apache CouchDB is a distributed, fault-tolerant and schema-free document-oriented database accessible via a RESTful HTTP / JSON API. It includes incremental map / reduce mechanics for queries and keeps data safe with an append-only datastore.
- - CouchDB is the most popular Android alternative to Amazon Neptune.
- - CouchDB is the most popular Open Source alternative to Amazon Neptune.
- - FerretDB is the most popular Self-Hosted alternative to Amazon Neptune.
OrbitDB is a serverless, distributed, peer-to-peer database. OrbitDB uses IPFS as its data storage and IPFS Pubsub to automatically sync databases with peers. It's an eventually consistent database that uses CRDTs for conflict-free database merges making OrbitDB an excellent...
Couchbase is the NoSQL database market share leader, with production deployments at AOL, Deutsche Post, NTT Docomo, Salesforce.com, Turner Broadcasting Systems, Zynga and hundreds of other organizations worldwide.
Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as part of the Amazon Web Services portfolio. It was announced by Amazon CTO Werner Vogels on January 18, 2012.OverviewDynamoDB differs from other Amazon services by allowing developers to purchase a...
- - Amazon DynamoDB is the most popular SaaS alternative to Amazon Neptune.
GraphDB is a RDF graph database or triplestore. It is the only triplestore that can perform semantic inferencing at scale allowing users to create new semantic facts from existing facts. It also has the ability to visualize triples.
- - GraphDB is the most popular commercial alternative to Amazon Neptune.
MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.