IBM watsonx.data
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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.
wx.data usage
What do you like best about the product?
Getting started with watsonx.data is pretty straightforward, making it accessible even for those new to data analysis. The platform offers an intuitive interface to setup processes with ease. wx.data's integration with other IBM services further simplifies the implementation of simple solutions, allowing users to leverage machine learning models and analytics tools. This streamlined approach enables users to focus on deriving insights and value from their data rather than getting bogged down in the complexities of data infrastructure setup.
What do you dislike about the product?
When we are talking about advanced and in-depth analytics, the platform still lacks easier and faster integrations in order to be used as a service in a Python notebook, the libraries are very complex and take too much time to handle simple requests.
What problems is the product solving and how is that benefiting you?
We are currently using wx.data as a lab for future clients.
IBM Watsonx.data is one of the best Data Analysis tool.
What do you like best about the product?
After almost five years of use, I must say that I have been very impressed by IBM Watsonx.data. However, this is such a powerful and intuitive platform for easier data administration and analysis. Due to its adaptability, it can deal with different data types. It interacts seamlessly with the AI tools. The most striking feature is the visualization of data with advanced analytics. It could handle both structured and unorganized data with absolute brilliance, thus increasing my productivity by significant margins. Watsonx.data has been my tool of choice in all my data work.
What do you dislike about the product?
IBM Watson.data is very resource heavy and since the introduction of AI, it can consume quite a bit of RAM. So the cost can drastically increase if you don't keep an eye on how much resources it is consuming.
What problems is the product solving and how is that benefiting you?
Unlike other data analysis platform, IBM watsonx.data can deal with different types of data types and is much more quicker and efficient.
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.
It served its purpose
What do you like best about the product?
It greatly accelerated the process of data analysis, in addition to the tool being very flexible.
What do you dislike about the product?
There could be more instructions for those who are starting with the tool, which ended up wasting a lot of the team's time.
What problems is the product solving and how is that benefiting you?
I use the tool to analyze behaviors and provide personalized recommendations.
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.
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