Amazon Athena vs. Astra DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 8.4 out of 10
N/A
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
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
Amazon AthenaAstra DB
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
No answers on this topic
Offerings
Pricing Offerings
Amazon AthenaAstra 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
Amazon AthenaAstra DB
Considered Both Products
Amazon Athena

No answer on this topic

Astra DB
Chose Astra DB
Some advantages of Cassandra by itself over the other solutions is being masterless and column oriented. About Astra DB, for us the decision-making factor was having a serverless solution and with the latest Cassandra version and features, additionally it provides a rich set …
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Amazon AthenaAstra DB
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.5
3 Ratings
3% below category average
Astra DB
-
Ratings
Automatic software patching8.22 Ratings00 Ratings
Database scalability8.22 Ratings00 Ratings
Automated backups7.73 Ratings00 Ratings
Database security provisions9.22 Ratings00 Ratings
Monitoring and metrics8.83 Ratings00 Ratings
Automatic host deployment9.22 Ratings00 Ratings
Vector Database
Comparison of Vector Database features of Product A and Product B
Amazon Athena
-
Ratings
Astra DB
6.9
1 Ratings
0% below category average
Vector Data Connection00 Ratings7.31 Ratings
Vector Data Editing00 Ratings8.21 Ratings
Attribute Management00 Ratings5.51 Ratings
Geospatial Analysis00 Ratings8.21 Ratings
Geometric Transformations00 Ratings7.31 Ratings
Vector Data Visualization00 Ratings7.31 Ratings
Coordinate Reference System Management:00 Ratings6.41 Ratings
Data Import/Export00 Ratings6.41 Ratings
Symbolization and Styling00 Ratings7.31 Ratings
Data Sharing and Collaboration00 Ratings5.51 Ratings
Best Alternatives
Amazon AthenaAstra DB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
SingleStore
SingleStore
Score 9.0 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
SingleStore
SingleStore
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
SingleStore
SingleStore
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaAstra DB
Likelihood to Recommend
9.5
(3 ratings)
8.2
(33 ratings)
Usability
-
(0 ratings)
7.8
(4 ratings)
Support Rating
-
(0 ratings)
8.9
(4 ratings)
Product Scalability
-
(0 ratings)
8.5
(31 ratings)
User Testimonials
Amazon AthenaAstra DB
Likelihood to Recommend
Amazon AWS
If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.
Read full review
DataStax
I would start with the scenarios which are well-suited. I can see Antra DB excels at the scalability and global distribution part as with the company's continuously growing size, we need our data to be growing at the same speed, which ASTRA DB largely supports, and if we talk about the less appropriate scenario, I would say when we need to incorporate external tools for the better monitor, it sorts of fails purpose.
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Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
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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
Amazon AWS
  • Query manager can incoperate GUI based query designer
  • Auto-completion engine sometimes overwrite the query
  • Time range selection should be implicit
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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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Usability
Amazon AWS
No answers on this topic
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
Amazon AWS
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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Alternatives Considered
Amazon AWS
Amazon Athena, a product from Amazon, competes with offerings from Google and Microsoft. Overall, I think your database choice depends on some of the other applications you are running at your company. For example, if you are using Microsoft Power BI for reporting needs, you might want to consider going the Azure route.
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DataStax
Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
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Scalability
Amazon AWS
No answers on this topic
DataStax
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.
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Return on Investment
Amazon AWS
  • Easy to query terabytes of data with faster response
  • Pricing model is also cheap
  • No indexing and partitioning
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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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ScreenShots