IBM watsonx.data as a Service
IBM SoftwareExternal reviews
152 reviews
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IBM watsonx.data is both secure and scalable and suitable for big data analysis.
What do you like best about the product?
Watson. data from IBM provides central data access and administration capabilities to streamline data governance and avoid duplication, which makes it ideal for artificial intelligence and analytics applications. Multiple engines and tools can query and process the same data simultaneously, courtesy of the support for open table formats that include apache iceberg. It also brings in variable degrees of deployment options to meet differing organizational needs, including managed services on both ibm cloud and aws, as well as self-managed applications on-prem. This will allow businesses to quickly infuse AI into their operations to enhance productivity and make better decisions, smartly integrated with other ibm ai technologies like watsonx.ai.
What do you dislike about the product?
When we first setup IBM watsonx.data, we had to go through a number of problems as it did not integrate with our existing system properly. So we had to constantly seek help from the official IBM support team. But after integrating it, we had no major issues and it is working correctly.
What problems is the product solving and how is that benefiting you?
It does well in integrating and managing massive datasets from a myriad of sources. This leads to my ability to centralize my data, hence improving governance over the data while also streamlining processes. Now, with this, my analyses are more precise, and therefore I spend less time in data preparation.
My overall experience using IBM watsonx.data.
What do you like best about the product?
I've found the IBM Watsonx.data tool to be redefining how management and analysis of enormous datasets can be conducted. Its user friendly interface makes possible the preparation of data, considering a large number of sources and the AI features of this software are very good at getting insights fast. I also like the solid enterprise class security and scalability features. The real time analytics feature has dramatically improved my decision making process. The initial setup was rather complex and there's also a bit of a learning curve. In a word, it must be a powerhouse for whoever wants to use AI in data management and analytics.
What do you dislike about the product?
I personally don't dislike anything about IBM watsonx.data but many people around me have complained about their pricing structure as it is very hard to determine what your total bill will be at the end of the month.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data is a very user friendly tool that helps us analyse large amounts of data rather quickly and extract useful insights from them.
Evaluation of watsonX.data
What do you like best about the product?
I found the tool extremely relevant, the use of artificial intelligence to work with data.
What do you dislike about the product?
I have not yet had the opportunity to work with the tool to identify points that I don't like.
What problems is the product solving and how is that benefiting you?
I do not yet work with the tool to respond to this inquiry.
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.
Discovery and use of watsonx.data
What do you like best about the product?
Watsonx.data is an incredible tool that enables not only data storage but also its management and integration for more accurate and complete results in an easier way. It is very user-friendly, easy to use, and the support and training team is always available and dedicated. We are in constant use of the tool to learn and make the most of its potential through the various integration possibilities.
What do you dislike about the product?
Up to the present moment, we are starting the implementation of the tool and have not encountered any difficulties or aspects we dislike.
What problems is the product solving and how is that benefiting you?
Centralization of data storage and integrations between databases for more complete and efficient information cross-referencing and results.
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.
Analytics bot
What do you like best about the product?
The speed that it takes to fetch the result is too fast
What do you dislike about the product?
Cost is too high to use this product and not cost effective
What problems is the product solving and how is that benefiting you?
Our data magnitude is very high, where as watson is helping us retrive analytics very soon
The watsonX having all AI features that an usual user expect to have
What do you like best about the product?
I believe that hybrid cloud deployment is a valuable feature.
What do you dislike about the product?
The data interface appears complex, which may be difficult for new users to understand.
What problems is the product solving and how is that benefiting you?
Generally accessing an organization's data every time is very hard one may forget the keywords, This problem is resolved by Watsonx AI which is the best practice to ask it and get our needed data
Senior Analyst
What do you like best about the product?
It is data management solution for collecting, storing and analyzing enterprise data with a single unified platform.
What do you dislike about the product?
Starting with the negatives or downs, Watson is : It is available only in English (Limits areas of use) It Seems as disruptive technology similar to that of AI tools.
What problems is the product solving and how is that benefiting you?
watsonx. data could allow us to easily access and analyze our expansive, distributed data and maximize our resource utilization to deliver superior user experiences. IBM watsonx. data and AWS are enhancing cloud-based analytics and AI, enabling organizations to accelerate their data modernization strategies.
It helps enterprises automate the business workflows, streamlining IT process and internal business processes, protecting them against threats and vulnerabilities, and tackling the sustainability goals. It also includes a data store, built on lakehouse architecture, and an AI governance toolkit.
IBM Watson performs analytics on vast repositories of data that it processes to answer human-posed questions, often in a fraction of a second.
It helps enterprises automate the business workflows, streamlining IT process and internal business processes, protecting them against threats and vulnerabilities, and tackling the sustainability goals. It also includes a data store, built on lakehouse architecture, and an AI governance toolkit.
IBM Watson performs analytics on vast repositories of data that it processes to answer human-posed questions, often in a fraction of a second.
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