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OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines.
Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.
MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems.
TinyDB is a lightweight document oriented database optimized for your happiness. It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. TinyDB neither needs an external server nor any dependencies from PyPI. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares.