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More than a partner
What do you like best about the product?
I started using AstraDB because it was mentioned as one of the options available to implement memory in Langchain.
The implementation was straightforward and it's worked seamesly from day one.
In the DataStrax team I found a reliable partner and they helped me to find solutions when I was stuck in the process, advicing and using their experience and experties to our service.
The implementation was straightforward and it's worked seamesly from day one.
In the DataStrax team I found a reliable partner and they helped me to find solutions when I was stuck in the process, advicing and using their experience and experties to our service.
What do you dislike about the product?
Honestly nothing. Even when my requests were outside their main experities, they found a way to be supportive.
What problems is the product solving and how is that benefiting you?
Storing conversation for a GenAI application
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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.
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.
Astra DB simplifies your life by supporting a wide range of data formats
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.
Astra is great!
DataStax Astra DB for AWS Marketplace works great for running Cassandra 4.0 workloads! It's serverless and pay as you go.
Review for DataStax
What do you like best about the product?
Our data was decentralized. It has therefore become indispensable to implement a customer master data management solution to deploy a consolidated vision of our clients in one single point.
What do you dislike about the product?
Beneath the covers, the Cassandra data storage layer is basically a key-value storage system. This means that you must "model" your data around the queries you want to surface, rather than around the structure of the data itself. This can lead to storing the data multiple times in different ways to be able to satisfy the requirements of your application.
What problems is the product solving and how is that benefiting you?
The write volume it can handle. It is able to handle such a large volume of writes by first writing to an in-memory data structure, then to an append-only log.
They provide great support for a difficult product.
What do you like best about the product?
They offer support on Cassandra which is difficult to install and maintain.
What do you dislike about the product?
Their installer is command run instead of using traditional Unix packages.
They don't natively support Amazon Linux.
They don't natively support Amazon Linux.
What problems is the product solving and how is that benefiting you?
Support Cassandra.
Market Leader
What do you like best about the product?
Datastax offers so much as a managed Cassandra platform, and they've emerged as the primarily leader in this space. The training materials and documentation alone are awesome contributions. Datastax has contributed so much to the open source tooling, and their technical blog rocks. Datastax Enterprise is really what you're looking for and should really consider when starting up a cloud app with Cassandra. The integrations with Spark, Opscenter, and Hadoop are what makes Datastax Enterprise worth it, not to mention the service level.
What do you dislike about the product?
I compare Datastax to Cloudera, and there's so much more that they can be doing in terms of educational materials.
What problems is the product solving and how is that benefiting you?
We were looking to build scalable, client-facing APIs, and Cassandra worked well in our implementation. Datastax really completed the picture.
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