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Started with comparison, but ended up using it for for my MVP
What do you like best about the product?
I would really stress on the Simplicity, when compared to other vectorstores I really liked the astradb and Langflow as well where I played around rag for my MVP and I was the one to introduce the langflow in my team
What do you dislike about the product?
DataStax has a steep learning curve and high costs.
What problems is the product solving and how is that benefiting you?
For rag basically and also used it to compare it with other databases
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A perfect technology partner to build AI applications
What do you like best about the product?
Astra's Vector capabilites is one of the foundations of our product. From vectorising product catalogues and partner data to searching complex queries, in real-time, on unstructured data, it's an incredibly powerful tool.
When working with larger brands it's imperative that we're enterprise-ready, that our models are fully customizable and can be hosted in partner environments - something which DataStax allows us to do.
Finally, the team at DataStax are just awesome. They have been supportive from day 1, supporting us from MVP to enterprise-ready software. The team do an amazing job at ensuring the tech is up to date and providing us with great support whenever we need it.
When working with larger brands it's imperative that we're enterprise-ready, that our models are fully customizable and can be hosted in partner environments - something which DataStax allows us to do.
Finally, the team at DataStax are just awesome. They have been supportive from day 1, supporting us from MVP to enterprise-ready software. The team do an amazing job at ensuring the tech is up to date and providing us with great support whenever we need it.
What do you dislike about the product?
There isn't much to dislike about DataStax. The team and product is brilliant.
What problems is the product solving and how is that benefiting you?
Vexctorising unstructured data and providing large customers with an enterprise-ready solution.
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
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
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.
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