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.
Effective Workloads Optimization and Nice Real-Time Data Analytics Platform.
What do you like best about the product?
This system simplifies data accessibility and data storage and the ability to migrate multiple IT projects data its excellent and easy optimize workloads.
Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master.
Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master.
What do you dislike about the product?
Useful and very friendly system to get used to and its implementation process is quite simple, and no serious training needed during the initial point.
What problems is the product solving and how is that benefiting you?
Helpful on Cloud data secure storage and easy to access all the required business data and even to integrate across other platforms is amazing and excellent solution metadata easy management and creating clean and reliable real time data reports and analytics through this IBM tool is effective.
IBM watson.data is a Reliable Data Integration and Secure Hybrid Cloud Management System.
What do you like best about the product?
IBM watsonx.data is an effective multiple projects data access across Hybrid Cloud and very secure data storage platform management platform and even its workload balancing capability is incredible and very reliable big data integration system.
What do you dislike about the product?
This IBM system is very powerful and very friendly platform with simple implementation and easy to configure the functionalities.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data allows easy data accessibility, secure storage for the various IT projects and very useful data integration tool and the real time data analytics creation through the platform is excellent.
A Unified, Scalable Data Lakehouse
What do you like best about the product?
IBM Watsonx.data makes it easy to manage structured and unstructured data in one place. I really like the open lakehouse architecture - it gives us flexibility to store data in different formats while still enabling fast analytics.
The built in governance, metadata management and seamless integration
with open-source engines like Presto and Spark have significantly improved our query performance.
The built in governance, metadata management and seamless integration
with open-source engines like Presto and Spark have significantly improved our query performance.
What do you dislike about the product?
The inititial setup required some learning, especially for configuring connectors and access policies.
Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model
Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model
What problems is the product solving and how is that benefiting you?
It helped us centralize our data, eliminate data silos, and dramatically improve query performance.
Reporting has become faster, governance is more consistent, and overall decision-making has improved.
Cost optimization through workload separation has also been a major benefit.
Reporting has become faster, governance is more consistent, and overall decision-making has improved.
Cost optimization through workload separation has also been a major benefit.
Reliable Tool for Handling Large and Mixed Data
What do you like best about the product?
What I like most about IBM watsonx.data is that it brings different types of data into one place in a clean and organized way. The interface is simple to understand, so it didn’t take me long to get comfortable using it. It also handles larger datasets quite well, which is useful when working on analytics or reporting tasks.
I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother.
I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother.
What do you dislike about the product?
The main thing I don’t like is that the initial setup takes some time, especially for someone not familiar with IBM’s overall environment. A few parts need multiple configuration steps, and I had to go through the documentation several times to understand how certain features worked.
Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble.
Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data helps me organize different types of data in one central place, which makes daily data work much easier. Before this, data was spread across different systems and it was time-consuming to manage access and keep everything consistent.
With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis.
With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis.
Flexible Platform with Powerful Integration and Hybrid Architecture
What do you like best about the product?
I appreciate this platform for its hybrid and open architecture, as well as its support for multiple engines. I also like that it integrates with tools such as IBM Knowledge Catalog.
What do you dislike about the product?
My main issues are the high rates and the complexity involved in learning how to use it.
What problems is the product solving and how is that benefiting you?
I am abel to access my data from one place and it's AI ready as it simplifies finding and organizing the data.
All-in-One Convenience with Impressive Storage Efficiency
What do you like best about the product?
Having everything in one place is very convenient, and I also appreciate the storage efficiency it offers. That combination makes the experience great for me.
What do you dislike about the product?
Honestly, I can't think of anything at the moment.
What problems is the product solving and how is that benefiting you?
As I mentioned before, I appreciate being able to access everything in one place, and I also find it to be efficient in terms of storage.
Easily Integrate with Powerful Exploration Features
What do you like best about the product?
I really appreciate the capabilities of IBM watsonx.data in supporting my recent project, particularly for creating a function to change the localhost to an IP address on a local machine. This tools adds to my confidence and allows me to explore and gain deep knowledge on specific topics and points relevant to my coding needs. I find it incredibly valuable for running complex concepts and generating PDFs on a Linux server, which is highly beneficial for my project requirements. The integration simplicity particularly stands out for me, as it's very easy to integrate, especially when using AI agents. It supports creating chatbots or AIAgents seamlessly, which expands my ability to implement AI solutions efficiently.
What do you dislike about the product?
I faced a challenge with the key generator during the initial setup of IBM watsonx.data, which made the setup process difficult.
What problems is the product solving and how is that benefiting you?
I find IBM watsonx.data simplifies my project tasks by transforming localhost to IP addresses and facilitates deep exploration and understanding of complex concepts, especially for generating PDFs and creating AI agents efficiently.
Unified Lakehouse with Room for Improvement
What do you like best about the product?
I truly appreciate the unified lakehouse feature of IBM watsonx.data, as it allows me to keep all types of data in a single platform, which significantly simplifies analytics and eliminates the hassle of juggling multiple tools. I love the cost-efficient queries; being able to choose the best engine for the workload helps to reduce compute costs and boosts performance, which is a major asset. The strong governance capability is another aspect I value greatly, as it provides centralized access control and data cataloging. This ensures that data remains secure, compliant, and trusted—qualities crucial for enterprise environments. Additionally, the easy access to data across both cloud and on-premises systems without needing to relocate it is incredibly time-saving and reduces the effort required for data queries. Overall, these features make IBM watsonx.data an invaluable resource for managing and analyzing enterprise data.
What do you dislike about the product?
Setting up IBM watsonx.data can be complex, requiring skilled expertise, which creates a barrier for new users. The user interface has a learning curve and needs refinement to be more user-friendly. While integration works well with IBM tools, it needs improvement for non-IBM ecosystems, particularly in supporting multi-cloud systems, which can slow down adoption for organizations using diverse technological environments.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.data to manage and analyze enterprise data efficiently in a unified lakehouse, reducing costs and improving performance with cost-efficient queries. Its strong governance and easy access to data enhance security and compliance, streamlining AI application development.
Fast and Intuitive, Yet Needs Streamlined UI
What do you like best about the product?
I like that IBM watsonx.data is fast and easy to use. It allows me to store all my data in one place and execute quick queries, which is essential for managing large datasets. I appreciate its seamless integration with AI and analytics tools, simplifying my workflow. The platform helps me manage big data efficiently, reducing my struggles with slow queries and messy data. I value how it works well with cloud storage and BI tools like Power BI and Tableau, facilitating organized data visualization in BI dashboards. The initial setup was relatively smooth, aided by comprehensive documentation, which made the transition hassle-free.
What do you dislike about the product?
Sometimes the platform feels heavy when switching between different tools or views. A few advanced features take extra clicks to reach, and I think the UI could be more streamlined. Also, integrations outside the IBM ecosystem could be a bit smoother.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.data to manage large datasets effectively, improving my experience by reducing issues with slow queries and messy data, and enhancing my work with fast, easy-to-use features that integrate well with AI, analytics tools, and BI dashboards.
Unified Data Access that Streamlined Our Data Fragmented Environment
What do you like best about the product?
I would say IBM watsonx.data has stopped us from juggling between different tools. We as a team get the data from different sources - customer interaction data, transaction logs and unstructured documents then watsonx.data brings it all together in an open lakehouse format. Now we have the ability to query this data with different engines, it greatly reduced our turnaround time.
What do you dislike about the product?
Only thing which our team had difficulty in performance tuning for watsonx.data. As it offers different engines for different workload, some of our team members ran a heavy job on wrong engine which isn't suitable for that task then we had to standardize our internal guidelines.
What problems is the product solving and how is that benefiting you?
As we were handling sensitive customer data, governance was one of the time consuming task for us. Watsonx.data has the built in governance, policy enforcement which makes the compliance easier.
showing 11 - 20