Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
Best Vector DB experience we had so far
What do you like best about the product?
Fast, easy, responsive team that will help out with issues
What do you dislike about the product?
abstractions can be made better but it would take away flexibility so I understand the current design choices
What problems is the product solving and how is that benefiting you?
Solves RAG pipelines and storage for vectorising data
- Leave a Comment |
- Mark review as helpful
I'm really liked the datastax.ai
What do you like best about the product?
Database company offers a suite of products datastax enterprises DSE and thay have expended AI / ML datastax.ai
What do you dislike about the product?
Even with astra managing distributed cassendra cluster cen required a lot of operational resources.
What problems is the product solving and how is that benefiting you?
Datastax excels is real time data management making at highly suitable for AI/ML it is supports hybrid and multi cloud environments allowing businesses
I can just drag and drop the workflow for my Datastax Langflow AI application
What do you like best about the product?
I like the wide range of Open-source options available included by datastax.
What do you dislike about the product?
I need more videos tutorials and templates for this datastax's Open-source platforms provided.
What problems is the product solving and how is that benefiting you?
I am using RAG for my e-commerce website to streamline my response for the customers with predefined dataset and the best thing it can train on its own.
Working on free experimental database for open access, publicly sourced data
What do you like best about the product?
The team has been in close contact throughout the process, providing tutorials and answers that helped us understand the expectations and processes.
The benefits have been customer support
The benefits have been customer support
What do you dislike about the product?
The tutorials often do not match my needs. I needed specific details to use the APIs in a format that did not match my expectations or possibly my needs. I am able to build apps that upload our data to DataStax. But I am unable to access the vector search parameters because the method that I used to upload the data is not the preferred method to query the database. In order to use the tutorials for querying the database, we would have to completely start from scratch with uploading the dataset using the same tutorials. Unfortunately, those tutorials are not set up in a manner that I understand how to upload the data. As such, I find that I might have to build my own database query pipeline
This is a problem for ease of use, ease of integration, ease of implementation
This is a problem for ease of use, ease of integration, ease of implementation
What problems is the product solving and how is that benefiting you?
We are starting a new, free experiment with DataStax to provide Wikidata's data to the world via a DataStax vector database.
We are new to the process of vectorising our data. DataStax has been very helpful in assisting us to build the database and understand the implementation of a vectorised database for integrating our data.
We are new to the process of vectorising our data. DataStax has been very helpful in assisting us to build the database and understand the implementation of a vectorised database for integrating our data.
Astra DB adoption in Enterprise
What do you like best about the product?
Datastax was able to provide enterprise class product for an Open Source project Apache Cassandra. It is continuing to contribute to open source project. Datastax provides multiple offerings of Cassandra - Dedicated On prem model, Managed Service and Pay per use model.
While migrating from Self managed to Datstax Astra DB, it was ease of implementation that made migration super successful. On going improvements to the product with its roadmap is great to work with
While migrating from Self managed to Datstax Astra DB, it was ease of implementation that made migration super successful. On going improvements to the product with its roadmap is great to work with
What do you dislike about the product?
Datastax Enterprise Support is still not completely matured, it is still work in progress.
What problems is the product solving and how is that benefiting you?
We wanted to address two problems - Ongoing maintenance of clusters and high cost associated with Self managed Apache Cassandra clusters. By migrating to Astra DB Database as Service pay per use model, we are able to solve both the problems effectively
Astradb for VectorStore
What do you like best about the product?
The astradb for vectorstore and its integration to langchain for ease of orchestration of RAG workflows.
Datstax team is phenomenally talented and supportive to customers.
They are open to consider the feedback for enhancing the latest technologies and integrations.
Datstax team is phenomenally talented and supportive to customers.
They are open to consider the feedback for enhancing the latest technologies and integrations.
What do you dislike about the product?
I like everything about datastax but would like for a more evolved UI interface.
What problems is the product solving and how is that benefiting you?
Datstax is solving us the LLM token limitations and cost effectiveness with RAG-Vector solution.
Go-to database for production grade LLM apps
What do you like best about the product?
Support and robustness.
Astra DB is rock-solid. We experienced a 50x traffic increase on our conversational chatbot "AI Guru" with zero downtime during a live demo with 1 million students. This is a testament to the scale at which AstraDB can deliver in production usecases.
Astra DB is rock-solid. We experienced a 50x traffic increase on our conversational chatbot "AI Guru" with zero downtime during a live demo with 1 million students. This is a testament to the scale at which AstraDB can deliver in production usecases.
What do you dislike about the product?
Data ingestion and retrieval for analytics can be improved. I am hoping it will be a solved problem in the coming months.
What problems is the product solving and how is that benefiting you?
We are using AstraDB as our vector database for our GenAI apps. That includes real-time doubt solving, Counselling and mentoring, subjective paper evaluation.
Datastax : Apache Cassandra advanced in Cloud
What do you like best about the product?
The multiple ways of connection - REST API based operations for create, insert, delete or update , option to use cql and driver based connections, easy to query and great performance are the best feasture of Datastax.
The ease of setp and usage with various languages like java, python and node make it an easy to use database for newer languages
The ease of setp and usage with various languages like java, python and node make it an easy to use database for newer languages
What do you dislike about the product?
Datastax being based out of cassandra has queries based on model objects and so not all columns can be used for where clause which makes it to think the design in advance. The key columns and query columns need to be identified.
Blob data saving example is not present.
Blob data saving example is not present.
What problems is the product solving and how is that benefiting you?
It helps to solve mapping of data to database using rest api and data can be exposed to thrid party using rest api and various role / user permissions. White listing of IPs are present and managing of database is very easy.
The data can be store based on key and the value object which can be complex.
Continuous storage of data and easy rollups help in its usage as monitoring database.
The data can be store based on key and the value object which can be complex.
Continuous storage of data and easy rollups help in its usage as monitoring database.
Vector Database Implementation
What do you like best about the product?
Ease of implementation and Customer Support
What do you dislike about the product?
For clarity, provide a precise definition and the intended use of credits in the contract.
What problems is the product solving and how is that benefiting you?
Implementing AI with a Vector Database
Company Chatbot in 30 days
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.
showing 1 - 10