Apache CouchDB vs. Astra DB

It's good as a general JSON document store and basic map/reduce system. For more specialized tasks like message queuing, graph traversal, streaming metrics aggregation, or arbitrary table joins, I'd recommend another database.

Incentivized

We use Astra DB to improve our management systems. Storing data has become hassle-free and quite simple. When launching a Cassandra-based cloud application, Astra DB is exactly what you need. In addition to the standard training programs and videos, the extended support and training require significant additional effort to activate and cover which I feel is a bit more tedious task.

Incentivized

• Ease of install and setup.
• Ease of syncing with another database. This was truly set it and forget it.
• The REST API to read data. No additional drivers are needed to work with CouchDB.

Incentivized

• We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
• Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
• A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.

Incentivized

• SUPER SLOW. We do tons of data and S3 and just using the file system were both way faster
• Using views is too complex
• Stores entire DB as 1 file, good luck when it becomes many TB

Incentivized

• Astra DB might be difficult to understand for people who are unfamiliar with Apache Cassandra. Improving the initial experience for newcomers, as well as offering better documentation and lessons, might be advantageous.
• The Astra DB ecosystem may be enhanced by expanding the ecosystem of plugins, integrations, and community-contributed solutions.

Incentivized

As a highly distributed database system, CouchDB naturally has strong high availability with traffic load-balancing capability. It is also easy to scale and replicate data in a cluster for redundancy. However, there is still some room for query performance improvement in the future.

Incentivized

Couchdb is very simple to use and the features are also reduced but well implemented. In order to use it the way its designed, the ui is adequate and easy. Of course, there are some other task that can't be performed through the admin ui but the minimalistic design allows you to use external libraries to develop custom scripts

Incentivized

It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution

Incentivized

Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.

Incentivized

it support is minimal also hw requirements. Also for development, we can have databases replicated everywhere and the replication is automagical. once you set up the security and the rules for replication, you are ready to go. The absence of a model let you build your app the way you want it

Incentivized

Open Source, and freely able to install it on any OS you desire (the big 3, anyways) CouchDB was selected for that, it's early-adoption of JSON and its mobile-friendly environment. Also, I have used it off and on in various non-professional projects, and it was really one of the first exposure to databases in my career

Incentivized

We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and strong reliability, allowing Maester’s development team to prioritize high-value, customer-facing features

Incentivized

We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.

Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.

Incentivized

• Biggest impact on our business has been that CouchDB has been pretty invisible from a cost or issues perspective. It just works.
• We use the Apache releases, so it's free. Of course there is a cost to "free" - we have invested time to become fluent in using and understanding CouchDB. But we feel the investment was well worth the effort and we have a solid, fundamental technology to our products that "just works".
• There are some things we do - SaaS vs self-hosting - that have probably been kept simple by using CouchDB. Overall, we are extremely happy with CouchDB.

Incentivized

• Database growth planning is less of a concern with Astra, as it scales automatically.
• Currently, they lack fine-grained security at the table level. I suspect that will change over time.
• If your load has peaks and valleys; Astra enables only paying for Reads/Writes; thus you do not need to pay for large servers to support peaks in load.

Incentivized