IBM watsonx.data Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

It's perfect and unique which helps all the stakeholders in the future. Review collected by and hosted on G2.com.

1. Complexity: Setting up and configuring the platform may be challenging for users without prior experience or technical knowledge in big data environments.

2. Pricing: For small or medium-sized enterprises, the cost associated with Watsonx.data could be considered high compared to other cloud-based data platforms.

3. Integration challenges: Although Watsonx.data supports multiple data sources, integrating with certain legacy systems or less common third-party tools might require additional effort.

4. Learning curve: For users new to IBM's ecosystem, mastering the various features and functionalities of Watsonx.data could take time. Review collected by and hosted on G2.com.

IBM Watsonx.data is the best choice for the safe use and best-featured data for your management. Working in a large collection just when needed, starting from scratch up to using the data to get solutions for various data problems, could be helpful in terms of time and effort. With WatsonX.Data, we can quickly train, tweak, and test different machine learning models and then put them to use. The sandstone models are used for fine-tuning tasks that are specific to them, and granite is the base for GPT-like architecture. It saves time, money, friendly to the environment, and is also so much effective. Review collected by and hosted on G2.com.

The APIs integration could be improved and the performance lag should be reduced also. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

It is safe to use with high security. This helps businesses extract meaningful patterns and predictions, making data-driven decision-making much more efficient. It supports multi-cloud and hybrid data deployments, which gives businesses the flexibility to choose their cloud providers while maintaining control over their data. Review collected by and hosted on G2.com.

Managing and configuring the full range of tools may require a steep learning curve. This might make it harder or more expensive to switch to another provider down the line.Compared to more widely used open-source tools like Apache Hadoop or Spark, Watsonx.data has a smaller community of developers and experts. Review collected by and hosted on G2.com.

IBM watsonx.data is user friendly with an intuitive interface ,making it easy to navigate. It provides powerful analytics capabilities and integrates seamlessly with other IBM tools enhancing overall efficiency and data management. Review collected by and hosted on G2.com.

Setup can be challenging with different data environments

It takes time to learn all the features

Customization options could be limited userfriendly

Limited support resources may slow down the learning process Review collected by and hosted on G2.com.

I really appreciate how it integrates comprehensive data warehouse optimization with performance analysis and antrual language processing. It handles missing values, outliers, and provides real-time insights and exceptional data visualization. Review collected by and hosted on G2.com.

For users unfamiliar with advanced features like machine learning models and RAG, there might be a learning curve. The support documentation is thorough but navigationg these features can be complex. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

IBM Watson provided a centralized platform for data access and administration, simplifying data governance and reducing redundancy. It is well-suited for AI and analytics applications, enabling multiple tools and engines to query and process the same data simultaneously. This is made possible by support for open table formats like Apache Iceberg. Watson also offers a range of deployment options, including managed services on IBM Cloud and AWS, as well as self-managed on-premise solutions. These capabilities allow organizations to integrate AI swiftly into their operations, improving productivity and decision-making, while seamlessly working alongside other IBM AI technologies such as Watsonx.ai. Review collected by and hosted on G2.com.

IBM watsonx does not seem to be integrated seamlessly with our bigdata pipelines.

We had to alter the systems and take support from IBM to resolve the issues.

After that everything seems to be good. Review collected by and hosted on G2.com.

What stands out most to me about Watsonx.data is its data virtualization and AI integration. The ability to access and manage data without moving it, combined with the seamless integration with IBM's AI tools, offers powerful capabilities for businesses looking to leverage AI at scale while maintaining flexibility across hybrid cloud environments. Review collected by and hosted on G2.com.

The complexity of setting up and managing Watsonx.data can be a drawback, especially for organizations that aren't familiar with IBM technologies or hybrid cloud systems. It may require significant expertise and resources, which could limit its accessibility for smaller teams or companies with simpler data needs. Review collected by and hosted on G2.com.