
ArangoDB
Redis
neo4j
MongoDB
Apache Cassandra
Azure Cosmos DB
CouchBase
OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
Which is more popular?
Based on our record, OrientDB seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | orientdb.dev | feeedback.dev |
| Pricing | — | |
| Company | — | Startup from France · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of OrientDB yet.
Decode customer Feeedback and build what matters ! Understanding your customers is the key to growth, but collecting and analyzing feedback can be overwhelming. Feeedback is your AI-powered solution to gather real-time user reviews, track churn, and uncover actionable insights to shape the future...
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External articles and on-site reviews we used to compare the two products.


OrientDB is a versatile multi-model database that supports both graph and document structures, offering flexibility for diverse application needs. Its ability to manage complex relationships makes it ideal for...
OrientDB is an open source NoSQL multi-model database. It allows organizations to unlock the true power of graph databases without the need to deploy multiple systems to handle other data types. This helps you to...
OrientDB is a 2nd Generation Distributed Graph Database with the flexibility of Documents in one product. It can store 220,000 records per second on common hardware. Even for a Document based database, the...
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Recommendations tracked on public social media and blogs since March 2021.


First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the... - Source: dev.to / over 3 years ago
Tracking Feeedback.dev since Feb 2025.
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The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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