Apache CouchDB vs. Astra DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CouchDB
Score 6.1 out of 10
N/A
Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.N/A
Astra DB
Score 8.3 out of 10
N/A
Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.N/A
Pricing
Apache CouchDBAstra DB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CouchDBAstra DB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache CouchDBAstra DB
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apache CouchDBAstra DB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache CouchDB
7.9
2 Ratings
11% below category average
Astra DB
-
Ratings
Performance8.02 Ratings00 Ratings
Availability8.52 Ratings00 Ratings
Concurrency8.52 Ratings00 Ratings
Security6.02 Ratings00 Ratings
Scalability8.02 Ratings00 Ratings
Data model flexibility7.02 Ratings00 Ratings
Deployment model flexibility9.02 Ratings00 Ratings
Vector Database
Comparison of Vector Database features of Product A and Product B
Apache CouchDB
-
Ratings
Astra DB
6.9
6 Ratings
1% above category average
Vector Data Connection00 Ratings8.26 Ratings
Vector Data Editing00 Ratings6.42 Ratings
Attribute Management00 Ratings9.13 Ratings
Geospatial Analysis00 Ratings6.41 Ratings
Geometric Transformations00 Ratings6.41 Ratings
Vector Data Visualization00 Ratings6.44 Ratings
Coordinate Reference System Management:00 Ratings5.52 Ratings
Data Import/Export00 Ratings6.55 Ratings
Symbolization and Styling00 Ratings6.41 Ratings
Data Sharing and Collaboration00 Ratings7.54 Ratings
Best Alternatives
Apache CouchDBAstra DB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
Redis Software
Redis Software
Score 9.2 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
Redis Software
Redis Software
Score 9.2 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
Redis Software
Redis Software
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache CouchDBAstra DB
Likelihood to Recommend
9.0
(10 ratings)
8.3
(40 ratings)
Likelihood to Renew
9.0
(9 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
7.8
(4 ratings)
Support Rating
-
(0 ratings)
8.9
(4 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
Product Scalability
-
(0 ratings)
8.4
(38 ratings)
User Testimonials
Apache CouchDBAstra DB
Likelihood to Recommend
Apache
Great for REST API development, if you want a small, fast server that will send and receive JSON structures, CouchDB is hard to beat. Not great for enterprise-level relational database querying (no kidding). While by definition, document-oriented databases are not relational, porting or migrating from relational, and using CouchDB as a backend is probably not a wise move as it's reliable, but It may not always be highly available.
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DataStax
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.
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Pros
Apache
  • It can replicate and sync with web browsers via PouchDB. This lets you keep a synced copy of your database on the client-side, which offers much faster data access than continuous HTTP requests would allow, and enables offline usage.
  • Simple Map/Reduce support. The M/R system lets you process terabytes of documents in parallel, save the results, and only need to reprocess documents that have changed on subsequent updates. While not as powerful as Hadoop, it is an easy to use query system that's hard to screw up.
  • Sharding and Clustering support. As of CouchDB 2.0, it supports clustering and sharding of documents between instances without needing a load balancer to determine where requests should go.
  • Master to Master replication lets you clone, continuously backup, and listen for changes through the replication protocol, even over unreliable WAN links.
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DataStax
  • It's very resilient and scalable, no downtime and no issues scaling up to meet our needs.
  • Low latency reads and writes
  • Cost effective - The on demand model worked out cheaper than running our own clusters
  • Great support for any of our questions or issues
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Cons
Apache
  • NoSQL DB can become a challenge for seasoned RDBMS users.
  • The map-reduce paradigm can be very demanding for first-time users.
  • JSON format documents with Key-Value pairs are somewhat verbose and consume more storage.
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DataStax
  • Need better fine-grained Security options.
  • The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken.
  • They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications.
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Likelihood to Renew
Apache
Because our current solution S3 is working great and CouchDB was a nightmare. The worst is that at first, it seemed fine until we filled it with tons of data and then started to create views and actually delete.
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DataStax
No answers on this topic
Usability
Apache
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
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DataStax
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
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Support Rating
Apache
No answers on this topic
DataStax
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.
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Implementation Rating
Apache
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
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DataStax
No answers on this topic
Alternatives Considered
Apache
It has been 5+ years since we chose CouchDB. We looked an MongoDB, Cassandra, and probably some others. At the end of the day, the performance, power potential, and simplicity of CouchDB made it a simple choice for our needs. No one should use just because we did. As I said early, make sure you understand your problems, and find the right solution. Some random reading that might be useful: http://www.julianbrowne.com/article/viewer/brewers-cap-theorem https://www.couchbase.com/nosql-resources/why-nosql\ https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed
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DataStax
We know Astra is built on Cassandra / Kubernetes / Stargate and can work on any cloud. The competitors we reviewed are cloud specific and create a lock in. We also have the option to run Cassandra / Stargate ourselves if we wanted to. The competitors don’t give that option
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Scalability
Apache
No answers on this topic
DataStax
Our use case and requirements for scaling don't allow me to comment on ability to scale to millions of users, however from what I know of other use cases where Astra has been applied, and Astra's architectural design makes me confident it will be able to scale to meet most requirements
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Return on Investment
Apache
  • It has saved us hours and hours of coding.
  • It is has taught us a new way to look at things.
  • It has taught us patience as the first few weeks with CouchDB were not pleasant. It was not easy to pick up like MongoDB.
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DataStax
  • The high availability capabilities of Astra DB can assist in reducing downtime, which is crucial for revenue-generating applications.
  • The developer-friendly features of Astra DB, as well as support for known query languages, can help expedite development, save development time, and minimize labor costs. This can result in a shorter time to market and a higher ROI.
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