BlazingSQL vs. Astra DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
BlazingSQL
Score 0.0 out of 10
N/A
BlazingSQL (formerly BlazingDB) is an Open-Source solution for SQL in Python. BlazingSQL provides a high-performance distributed SQL engine in Python. Built on the RAPIDS GPU data science ecosystem, ETL massive datasets on GPUs. BlazingSQL lets users ETL raw data directly into GPU memory as a GPU DataFrame (GDF). RAPIDS.ai is a suite of open-source libraries that allow the user to run end to end data science and analytics pipelines on GPUs.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
BlazingSQLAstra DB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
BlazingSQLAstra 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
Features
BlazingSQLAstra DB
Vector Database
Comparison of Vector Database features of Product A and Product B
BlazingSQL
-
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
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BlazingSQLAstra DB
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User Ratings
BlazingSQLAstra DB
Likelihood to Recommend
-
(0 ratings)
8.3
(32 ratings)
Usability
-
(0 ratings)
7.8
(4 ratings)
Support Rating
-
(0 ratings)
8.9
(4 ratings)
Product Scalability
-
(0 ratings)
8.5
(30 ratings)
User Testimonials
BlazingSQLAstra DB
Likelihood to Recommend
Open Source
No answers on this topic
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
Open Source
No answers on this topic
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
Open Source
No answers on this topic
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
Open Source
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
Open Source
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
Open Source
No answers on this topic
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
Open Source
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
Open Source
No answers on this topic
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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