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DataStax Astra DB

DataStax, Inc. | 1

Reviews from AWS customer

1 AWS reviews
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5-star reviews ( Show all reviews )

    Marc K.

A seamless backend for building powerful AI agents with Langflow + AstraDB

  • July 15, 2025
  • Review provided by G2

What do you like best about the product?
DataStax made it incredibly easy to build and scale our AI agent with Langflow. AstraDB’s serverless architecture meant we didn’t have to worry about provisioning infrastructure, and the integration with vector search made RAG workflows lightning-fast. We especially loved how well AstraDB plugged into Langflow – it felt like building with building blocks. The documentation is clean, the UI is intuitive, and support was responsive and helpful whenever we had questions. If you’re building anything AI-driven with persistent memory, AstraDB is a no-brainer.
What do you dislike about the product?
While AstraDB is incredibly powerful, the learning curve can be a bit steep for first-time users — especially around schema design and understanding CQL for more complex queries. We also noticed that some SDKs or tooling examples lag behind the latest feature releases, which required digging through docs or GitHub issues. That said, the support team and community are active and helpful when you hit a wall.
What problems is the product solving and how is that benefiting you?
We needed a scalable, low-latency vector database to power our AI agent’s memory and retrieval workflows. DataStax Astra DB gave us exactly that — without the DevOps burden. It helps us manage embeddings efficiently and query them with speed, enabling real-time search and personalized responses inside our Langflow-based LLM app. It’s saved us significant engineering time while allowing us to ship faster and more reliably.


    Krishna G.

Datastax and Langflow - Interconnected Systems to Build and Prototype RAG Applications Easily

  • July 12, 2025
  • Review provided by G2

What do you like best about the product?
As a company building and stress-testing RAG pipelines daily, the combination of DataStax Astra DB and Langflow has been a game-changer. DataStax delivers scalable, high-speed vector search with excellent integration via the Astra DB and LangChain ecosystem—perfect for low-latency, high-volume workloads. Langflow, on the other hand, makes LLM orchestration visual and intuitive. It accelerates prototyping while still being customizable enough for production-grade workflows. Together, they reduce dev time significantly and let me focus more on refining prompts and grounding logic, rather than infrastructure.

Pros:
Astra DB’s fast vector search and native LangChain support
Langflow’s drag-and-drop interface for rapid experimentation
Easy integration with OpenAI, Cohere, and other providers
Scales well without overcomplicating the stack
What do you dislike about the product?
Langflow is Currently in Preview which might limit deployment to Production Environments
What problems is the product solving and how is that benefiting you?
Helping us build and iterate RAG Workflows at scale with simple UI and Testing


    Diogo R.

DataStax brings no-code AI Agents to life

  • April 22, 2025
  • Review provided by G2

What do you like best about the product?
Very easy to implement. Vast integrations with LLMs and databases. Easy and intuitive to use
What do you dislike about the product?
The way Agents, tools, databases etc... connect can vary from one day to the other, significantly leading to the AI Agents' flows becoming unusable
What problems is the product solving and how is that benefiting you?
The databases are really easy to implement


    Kevin S.

Langflow by DataStax is hands down the best for multi-agent systems.

  • March 28, 2025
  • Review provided by G2

What do you like best about the product?
As a dev who wants to get things done while staying flexible, this is a dream come true. You get all the drag-and-drop components for speed and simplicity - but you’re not locked in. You can create your own components and tweak almost anything to fit your needs.

This means you can build complex components while still working with intuitive, easy-to-grasp flows. Custom code can quickly become a tangled mess, and no-code builders can feel too restrictive. Langflow strikes the perfect balance.

Plus, it’s open-source, with a thriving community that’s making it better every day!

You’ve just got to try it. I keep going to langflow.new whenever I want to test something real quick since there’s no login, and you can jump right in. 😄
What do you dislike about the product?
I only see two downsides.

First, it has fewer integrations compared to other no-code tools like Make.com or n8n. That said, the crucial ones like Google Drive ,Gmail, etc. are already there. Plus, it’s more optimized for agentic systems, where it actually has the most integrations of any platform (vector DBs, model providers, etc.), so it makes sense.

Second, startup time and initial runs can be a bit slow. Given how much functionality it packs, that’s understandable. But I’ve already seen huge improvements in this area, so I’m pretty confident it’ll keep getting better over time.
What problems is the product solving and how is that benefiting you?
Super quick and easy vector DB setup for Langflow!


    Alan K.

A great way to learn to build AI applications and agents

  • March 24, 2025
  • Review provided by G2

What do you like best about the product?
It’s easy to start learning and building right away
What do you dislike about the product?
I can’t think of anything right away. Developers may have a different opinion.
What problems is the product solving and how is that benefiting you?
I used DataStax to build a demo that I can show to customers


    Tim F.

DataStax has enabled us to build out game-changing features in our product

  • February 11, 2025
  • Review provided by G2

What do you like best about the product?
DataStax offers next-level customer support with a great product. The team is always available and eager to help. Astra DB has allowed us to build out some pretty unique features that our customers are loving. I'd recommend their tech to anyone building an AI-first company.
What do you dislike about the product?
We have not had any issues. The DataStax team and product have been great.
What problems is the product solving and how is that benefiting you?
We're using DataStax's products to enhance our ability to offer a unique and customizable experience with our product. Without going into our IP too much, DataStax has enabled some key features that have helped us to stay meaningfully differentiated.


    Marius N.

A perfect technology partner to build AI applications

  • October 28, 2024
  • Review provided by G2

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.
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.


    Teja P.

I'm really liked the datastax.ai

  • September 12, 2024
  • Review provided by G2

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


    Satwik L.

I can just drag and drop the workflow for my Datastax Langflow AI application

  • September 11, 2024
  • Review provided by G2

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.


    SP (Saladi Pullaya) N.

Astra DB adoption in Enterprise

  • August 13, 2024
  • Review provided by G2

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
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