Astra DB vs. NVIDIA AI Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Astra DB
Score 8.6 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
NVIDIA AI Enterprise
Score 0.0 out of 10
N/A
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI. The solution is designed to ensure a smooth transition from pilot to production.N/A
Pricing
Astra DBNVIDIA AI Enterprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Astra DBNVIDIA AI Enterprise
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
Features
Astra DBNVIDIA AI Enterprise
Vector Database
Comparison of Vector Database features of Product A and Product B
Astra DB
8.0
12 Ratings
0% above category average
NVIDIA AI Enterprise
-
Ratings
Vector Data Connection8.212 Ratings00 Ratings
Vector Data Editing8.56 Ratings00 Ratings
Attribute Management8.010 Ratings00 Ratings
Geospatial Analysis8.26 Ratings00 Ratings
Geometric Transformations8.06 Ratings00 Ratings
Vector Data Visualization7.67 Ratings00 Ratings
Coordinate Reference System Management:7.76 Ratings00 Ratings
Data Import/Export7.711 Ratings00 Ratings
Symbolization and Styling8.45 Ratings00 Ratings
Data Sharing and Collaboration7.69 Ratings00 Ratings
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User Ratings
Astra DBNVIDIA AI Enterprise
Likelihood to Recommend
8.5
(46 ratings)
-
(0 ratings)
Usability
7.8
(4 ratings)
-
(0 ratings)
Support Rating
8.9
(4 ratings)
-
(0 ratings)
Product Scalability
8.4
(44 ratings)
-
(0 ratings)
User Testimonials
Astra DBNVIDIA AI Enterprise
Likelihood to Recommend
DataStax
We've been super happy with Astra DB. It's been extremely well-suited for our vector search needs as described in previous responses. With Astra DB’s high-performance vector search, Maester’s AI dynamically optimizes responses in real-time, adapting to new user interactions without requiring costly retraining cycles.
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NVIDIA
No answers on this topic
Pros
DataStax
  • 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.
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NVIDIA
No answers on this topic
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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NVIDIA
No answers on this topic
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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NVIDIA
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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NVIDIA
No answers on this topic
Alternatives Considered
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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NVIDIA
No answers on this topic
Scalability
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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NVIDIA
No answers on this topic
Return on Investment
DataStax
  • Better uptime due to the managed service having no outages
  • Less technical debt because we don't need to worry about upgrading our Cassandra clusters
  • Lower cost on infrastructure as a whole
  • Quick and easy to integrate vector search into our tech stack
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NVIDIA
No answers on this topic
ScreenShots