Top Non-Relational Databases

Recommendations: 11 | Last Updated: Aug. 25, 2022 (1Β month)

CouchBase CouchBase

Couchbase, originally known as Membase is an award-winning, open-source, distributed multi-model NoSQL and document-oriented cloud database. It is designed and optimized for interactive applications and may serve many concurrent users by creating, storing, retrieving, aggregating, manipulating and presenting data. Couchbase delivers unmatched versatility, performance, scalability, and financial value across cloud, on-premises, hybrid, distributed cloud, and edge computing deployments.

πŸ‘ Most people think this is a good recommendation.

MongoDB MongoDB

MongoDB is an open-source document-oriented distributed database built for modern applications. MongoDB uses JSON-like documents with optional schemas and is classified as a NoSQL database. The database is freely distributed under the Server Side Public License, but MongoDB provides commercial version of the database for enterprise-scale applications.

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Amazon DynamoDB Amazon DynamoDB

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. The database is fully managed, multiregion, multimaster, and durable with built-in security, backup and restore, and in-memory caching for enterprise-scale applications. Amazon DynamoDB is part of Amazon Web Services and integrates well with other cloud-based AWS products.

πŸ‘ Most people think this is a good recommendation.

neo4j neo4j

Neo4j is a commercially provided graph database management system developed by Neo4j, Inc. The graph database is fundamentally different to the relational model found in relational database management systems (RDBMS). With Neo4j, each data record, or node, stores direct pointers to all the nodes it's connected to. The database is also designed to perform complex queries with complex connections orders of magnitude faster. Neo4j is ACID-compliant and suited for projects that requires complicated relationship structures.

Neo4j uses Cypher QL, a declarative graph query language that allows for expressive and efficient data querying in graphs. It allows me to handle all sorts of problems when querying Neo4j while being intuitive and providing a rich set of features for different scenarios.
neo4j provides a unique UI that allow you to visualise your operations on the database. Through this interface you can run queries and receive the response representation in the form a of a node chart. This allows you to get a better understanding of relationships between nodes in the graph.

πŸ‘ Most people think this is a good recommendation.

Apache HBase Apache HBase

With Apache HBase manager realtime read/write access to your Big Data. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable: A Distributed Storage System for Structured Data. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

SimpleDB SimpleDB

Amazon SimpleDB is a simple database storage solution that allows developers to simply store & query data items via web services requests, saving time.

JanusGraph JanusGraph

JanusGraph is a free and open-source distributed, scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. The project is managed by The Linux Foundation and is released under the Apache Software License 2.0. Large corporations like Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon also supports the project.

TerminusDB TerminusDB

TerminusDB is an open-source full-featured in-memory graph database management system that stores data like git.

Dgraph Dgraph

A fast, distributed graph database with ACID transactions.