IBM watsonx.data as a Service
IBM SoftwareExternal reviews
152 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Best Experience
What do you like best about the product?
It helps to streamline enterprise data which is structured and unstructed. It also helps in various Data Sources and it is flexible and can be used for large scale data.
What do you dislike about the product?
It helps in large data support so cost might be concern for organizations having large data to use.
What problems is the product solving and how is that benefiting you?
It supports various data to organized under single datalake which further helps us in easier access control and also to analyse the data.
Feedback review
What do you like best about the product?
It is good and accurate artificial intelligence platform.
What do you dislike about the product?
Seen as disruptive technology.
Maintenance.
Doesn't process structured data directly.
Maintenance.
Doesn't process structured data directly.
What problems is the product solving and how is that benefiting you?
IBM Watsonx.data simplifies data integration, scales storage, ensures governance, and accelerates AI-driven insights, benefiting organizations with faster analysis and cost efficiency.
An amid user of IBM watsonx.data
What do you like best about the product?
Worked on optimization and achieved good results
What do you dislike about the product?
I liked everything about it and there is nothing that i disliked
What problems is the product solving and how is that benefiting you?
Clearly resolved and optimized various data related problems
It was my best experience to explore data lakehouse as I am a data engineer
What do you like best about the product?
It helps to streamline enterprise data which is both structured and unstructured. Watsonx.data enables organization's to query vast amounts of data in very quick time.
What do you dislike about the product?
I think cost might be a concern here for organizations which hold large amounts of data
What problems is the product solving and how is that benefiting you?
It helps us is to organize various data under one datalake which helps to access easier and analyse.
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.
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
Superb database for AI generative models.
What do you like best about the product?
IBM Watsonx is an open source tool that contains safe features and by which I have successfully integrated it with my company's data process system. The intention was to create a secure AI based process system that the company could rely upon. The reason we set up IBM Watsonx as part of our new AI projects at first is for the good data science that comes along. For this cause, Watsonx is one of the most scalable tools.
What do you dislike about the product?
Even though IBM watsonx.data is very scalable, it is also very costly and resource heavy and the cost can drastically increase as you try to analyze large amount of data and you may even notice slight lag too.
What problems is the product solving and how is that benefiting you?
I think you should put your money into IBM Watson if you can afford it. Along this line, we are definitely utilizing the models of APIs to build a sustainable flow workplace. We do give support for AI and ML application on an ongoing basis.
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.
showing 21 - 30