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DataStax Enterprise

DataStax, Inc. | 1

Reviews from AWS Marketplace

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External reviews

21 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Jan S.

Company Chatbot in 30 days

  • April 26, 2024
  • Review verified by G2

What do you like best about the product?
Customer support has been great from day one. DataStax wants you to succeed with your project.
What do you dislike about the product?
Moving and copying databases between accounts and regions is difficult.
What problems is the product solving and how is that benefiting you?
DataStax makes life easy for engineers who need a scalabe vector database for their RAG projects. It outperformed other databases in our tests.


    Reinaldo G.

We've gone to zero to production in 3 months. Top notch support from different departments.

  • March 17, 2024
  • Review verified by G2

What do you like best about the product?
Support
Vector similarity search
Different API availability and support
What do you dislike about the product?
Documentation is a little lacking but made up up by direct support.
What problems is the product solving and how is that benefiting you?
Integration with AI applications


    Consulting

Astra DB simplifies your life by supporting a wide range of data formats

  • March 05, 2024
  • Review provided by G2

What do you like best about the product?
It is really easy to use and supports a wide range of data formats, including vectorized, columnar-based, and more. Additionally, DataStax is very robust, and its support team is extremely responsive.
What do you dislike about the product?
Although it is user-friendly, mastering and optimizing all the features offered by the database can present a steep learning curve initially.
What problems is the product solving and how is that benefiting you?
Indexing SharePoint documents to build a generative AI chatbot that can search and generate content based on the knowledge base stored in SharePoint.


    Prasad P.

The brain behind your GenAI apps

  • March 05, 2024
  • Review provided by G2

What do you like best about the product?
Eas of use vector solution, really serverless, cost effective, connected ecosystem
What do you dislike about the product?
Cassandra legacy. There is generic industry persception that cassandra is complex.
What problems is the product solving and how is that benefiting you?
Ability to vectorise and do effective vector search.


    Computer Software

Thrilled with the rapid development and focus on user feedback at DataStax Astra DB!

  • March 05, 2024
  • Review verified by G2

What do you like best about the product?
I'm constantly impressed by their dedication to swiftly integrating new features based on user feedback. A big shoutout to Preethi Srinivasan and the entire team for their responsiveness and commitment to making Astra DB the best possible solution for developers.
The recent integration with unstructured.io is a game-changer, and I'm already seeing the benefits in my workflow. Looking ahead, I'm particularly excited about the upcoming server-side embeddings ingestion feature. This will further streamline my development process and unlock new possibilities for my projects.

Astra DB's intuitive interface makes it a breeze to navigate and manage my data, even for those with less technical expertise.

Getting started with Astra DB was incredibly straightforward. The quick setup process allowed me to focus on development instead of wrestling with complex infrastructure.

The DataStax Astra DB customer support team is exceptional. They are consistently responsive, knowledgeable, and go the extra mile to resolve any issues promptly.

DataStax Astra DB truly prioritizes its user community, and it shows. Keep up the fantastic work!
What do you dislike about the product?
Nothing.
Looking forward for upcoming Features
What problems is the product solving and how is that benefiting you?
Ease of Integration as well as integrations, like server side embeddings.
Also the cost was effective.


    Abhilash S.

Goto database for VectorDB

  • March 01, 2024
  • Review verified by G2

What do you like best about the product?
Colloborative Support
Access to bleeding edge features
Enterprise Grade stability and reliability
What do you dislike about the product?
Nothing in particular to dislike or concerned
What problems is the product solving and how is that benefiting you?
Solving vertical industry generative AI use-cases backed by Astra Vector Databases provides a strong enterprise grade infrastructure with bleeding edge features, which helps us release SOTA solutions.


    Computer Software

Quality enterprise class NOSQL provider with excellent professional services

  • February 12, 2024
  • Review verified by G2

What do you like best about the product?
Implementation is as easy as signing up on a website
Easy to get going, abstracts complexity of Cassandra
Scalability & On-demand performance reduces overall cost
Provides additional capabilities which greatly enhance integration with other systems
Excellent customer support
What do you dislike about the product?
Nothing much - CQL for Cassandra is perhaps a disadvantage
What problems is the product solving and how is that benefiting you?
Cassandra is challenging to manage at a large scale in production. DataStax enables enterprise class capabilities at the click of a button. It minimises compliance risk arising from hacky custom scripting, and allows your teams to focus on developing more where it matters.


    Computer Software

Software Developer

  • November 09, 2023
  • Review provided by G2

What do you like best about the product?
I Like DataStax's robust support for Apache Cassandra, enabling seamless management of large datasets with high availability. Its unified platform for hybrid and multi-cloud environments, with advanced analytics and search capabilities, sets it apart. The company's commitment to community engagement and innovation is commendable, making it a top choice for comprehensive data management solutions.
What do you dislike about the product?
I mostly like everything and neecds more improvement on cloud part.
What problems is the product solving and how is that benefiting you?
DataStax solves the problem of scalable and fault-tolerant data management, benefiting me by providing a reliable platform. Its unified hybrid and multi-cloud support streamlines data handling. Integration of advanced analytics and search capabilities helps me derive insights, and its community engagement offers valuable resources and support for innovation.


    Avinash U.

Running Apache Cassandra/Pulsar for Enterprise

  • February 16, 2022
  • Review verified by G2

What do you like best about the product?
The scalability of Cassandra, along with the customizations done by Datastax, is terrific for enterprise use cases. AstraDB, their Database as a service, is easy to use and cost-effective. There are drivers/SDKs/APIs for most languages/tools/frameworks you want to integrate with. Stargate is a cherry on top of the cake. The Astra Streaming service is an excellent managed service of Apache Pulsar.
What do you dislike about the product?
A few general issues with Apache Cassandra are no transactional guarantee and joins. The eventual consistency will not work for all use cases. The Astra service lacks capabilities for extendable monitoring and observability. Datastax Astra also lacks the ability for refined RBAC and network security.
What problems is the product solving and how is that benefiting you?
We use Datastax Astra DB and Streaming for our database and streaming needs. The billing is simple, and the integration is as well. The serverless database helped us reduce the overall costs.


    Banking

DBA

  • December 08, 2021
  • Review provided by G2

What do you like best about the product?
It's distributed capability, availability and horizontal scaleability.
What do you dislike about the product?
One area I wanted to see in their next major version is ease fo backup tool. Maybe integrated within OpsCenter with more flexibility.
What problems is the product solving and how is that benefiting you?
RDBMs typically very hard to scale horizontally and it gets performance degradation as your data increases, however if you design your queries and data model correctly and properly, the speed of operations are sub-millis, especially for large write operations.