Astra DB vs. Oracle NoSQL Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Oracle NoSQL Database
Score 10.0 out of 10
N/A
Oracle offers a NoSQL Database.N/A
Pricing
Astra DBOracle NoSQL Database
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Astra DBOracle NoSQL Database
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Astra DBOracle NoSQL Database
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Astra DBOracle NoSQL Database
Small Businesses
SingleStore
SingleStore
Score 9.7 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Astra DBOracle NoSQL Database
Likelihood to Recommend
8.3
(31 ratings)
7.3
(1 ratings)
Usability
7.7
(4 ratings)
-
(0 ratings)
Support Rating
8.9
(4 ratings)
-
(0 ratings)
Product Scalability
8.6
(29 ratings)
-
(0 ratings)
User Testimonials
Astra DBOracle NoSQL Database
Likelihood to Recommend
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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Oracle
Oracle NoSQL Database is well-suited for you if your data formats are not consistent, if you have limited hardware resources, if you higher data throughput (whether the database is on the cloud or running locally), and if you don't need a declarative query language to maintain a standardized schema of your data. If you need reduced data redundancy and require ACID compliance, you are better off finding an SQL database solution.
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Pros
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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Oracle
  • Data-model flexibility. Unlike RDBMS solutions, Oracle NoSQL does not restrict you to a predefined set of data types.
  • Ability to Handle an Increased Amount of Traffic. As Oracle NoSQL can process queries much quicker than Oracle Database, Oracle NoSQL is able to respond to a lot more queries in the same amount of time.
  • Data-model simplicity. In SQL-oriented databases, there is a learning curve in learning the relationship between databases, tables, rows, and keys. On the other hand, Oracle NoSQL's key-value based storage is much easier to get the hang of.
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Cons
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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Oracle
  • Fewer analytical functions to choose from. When compared to Oracle Database, there is significant difference in the amount of built-in analytical functions.
  • Eventual data consistency. It is not guaranteed that a write or delete query will be immediately visible for subsequent queries.
  • Data redundancy. As there are no mechanisms that insure data integrity, users are more likely to have redundant data across their documents.
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Usability
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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Oracle
No answers on this topic
Support Rating
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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Oracle
No answers on this topic
Alternatives Considered
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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Oracle
I have not used any other types of NoSQL databases.
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Scalability
DataStax
As per my experience, I never faced issues of scalability with Astra DB. We don't have at the moment a use case with millions of requests or users, so I can't give full score because of my limited use case.
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Oracle
No answers on this topic
Return on Investment
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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Oracle
  • We pay less for computing resources, as Oracle NoSQL databases respond quicker than our previous SQL databases.
  • Our database administrators and software developers do not need to worry about "data massaging" and can focus on perfecting application logic.
  • Oracle NoSQL has built-in integration to other Oracle products, so we didn't not need to spend money on building custom integrators or higher additional developers.
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