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The Hyper-Fast Database that Truly Scales

Developer documentation that anyone can edit
Which is more popular?
Based on our record, CrateDB 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 | cratedb.com | opendevdocs.com |
| Pricing | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data.
No description of Open Devdocs yet.
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of CrateDB yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
CrateDB is the ideal database for IoT solutions
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using CrateDB and Open Devdocs. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Kafka is the front line of the stack, used to queue messages received from (for example) IoT sensors and devices. CrateDB will query and store the data. And between CrateDB and Kafka, it lives Apache Flink, a data processing engine.... - Source: dev.to / over 5 years ago
Tracking Open Devdocs since Jan 2023.
When comparing CrateDB and Open Devdocs, you can also consider the following products.


Free SQL Client for developers and teams. Available for Mac, Windows, Linux, and Web.
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Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
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Prisma Schema Builder is an attempt to build a visual tool for constructing Prisma database schemas.
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Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
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