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Powerful Data Platform with AI Integration
What do you like best about the product?
The most impressive part, however, is how AI and analytics work together, enabling data query and management on both structured and unstructured formats from a single platform. It is also Agile, scale-outable, and interoperable with open data formats like Parquet and Iceberg.
What do you dislike about the product?
IBM watsonx is undoubtedly powerful, but it is not without its drawbacks. For teams inexperienced with IBM’s ecosystem, the setup is multifaceted, the integration is tedious, and the ramp-up phase can be frustrating due to the advanced learning curve. Pricing models are often ambiguous for smaller teams, and along with uneven performance on larger datasets, it becomes increasingly costly. Furthermore, community support is limited and still in the developmental phase, leading to fears around vendor lock-in.
What problems is the product solving and how is that benefiting you?
IBM Watsonx.data addresses critical issues concerning the accessibility, integration, and analytics of data at scale. It helps by consolidating structured and unstructured data across multiple clouds and on-premises systems utilizing an open data lakehouse framework. This allows me to analyze and parse through extensive datasets from various locations without physically relocating them, thus optimizing processes and minimizing expenses associated with storage. It also ensures governance, security, and AI model readiness which supports me by accelerating trusted decision-making while simplifying the operational processes from raw data into insights.
IBM Watson studio best for learning and application for machine learning
What do you like best about the product?
Best in using loaded data interact with datasets and use accordingly and learn with projects
What do you dislike about the product?
UI can be more specific and easy to understand the flow
What problems is the product solving and how is that benefiting you?
Learning project through ciursera
Innovative model
What do you like best about the product?
It has inbuilt data lakes, tools for security purposes. It has everything combined in one place that saves time and efforts.
What do you dislike about the product?
It doesnt support with the other ecosystems like AWS. It has deep learning curve
What problems is the product solving and how is that benefiting you?
Solves the challenge of analyzing the data , storing it and processing it has been made very easy. It's an all in one platform and that's how it benefited me.
IBM watsonx.data: A Scalable Data Powerhouse for Enterprises
What do you like best about the product?
IBM watsonx.data shines with its ability to integrate smoothly into hybrid cloud setups, existing data lakes, and diverse sources like SQL databases or legacy systems-no pricey migrations needed. Built-in AI tools, including real-time anomaly detection and automated governance, speed up analytics and boost fraud detection accuracy. It scales effortlessly for large datasets (structured or unstructured) without lag, ideal for high-volume needs. Users praise its intuitive interface, strong security protocols, and unified data management, which simplifies access and analysis.
What do you dislike about the product?
The platform’s learning curve is steep, especially for non-technical teams or those new to IBM’s ecosystem. Costs can escalate with data growth, and AI features demand hefty infrastructure. Some users report limited customization, slower support, and occasional hiccups integrating niche legacy tools. While robust, its smaller developer community (compared to open-source rivals) might slow peer-driven troubleshooting.
What problems is the product solving and how is that benefiting you?
It pulls scattered data from silos—legacy systems, SQL databases, even cloud apps—into one place, so we’re not stuck fixing broken workflows or paying for messy migrations. The AI tools auto-detect risks (like fraud) and handle governance tasks that used to eat up hours. It also scales smoothly when we’re slammed with data-heavy projects, without crashing or slowing us down.
Enterprise grade platform for powerful and extendible AI.
What do you like best about the product?
IBM WatsonX.data is known for its high capability to handle the integration of various data sources and delivering advanced AI powered analytics capabilities. It offers an easy to use UI that will help users to effectively work with, process and analyze big datasets. WatsonX.data shows remarkable scalability and versatility managing both structured and unstructured data formats. In addition, the platform’s machine learning and AI functionalities make it easy to extract actionable intelligence hereby placing it on the top of the list for businesses that want to benefit from data analytics at scale.
What do you dislike about the product?
I think that IBM Watson X. data is intimidating for beginners, or for people who do not have experience in the advanced AI and data analytics. Getting up to speed with IBM WatsonX.data and working with large sets of data is challenging for the newcomers. On the other hand, though powerful, the platform might be intimidating to novice users because of the sweeping array of options, meaning that it is not a simple solution for people. Moreover, high system demands may make it unsuitable for organizations with little IT resources at their disposal or smaller teams.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data overcomes issues with managing big data effectively as well as facilitating rapid, growing analysis for machine learning and data science projects. IBM watsonx.data helps to achieve higher productivity in my work due to the ability to retrieve and analyze data faster.
Easy and Reliable
What do you like best about the product?
User friendly, easy click and connect features, End to end data services.
i like the data security with governance, keep the lilits of the data. I frequently use this for my easy data integration and processing
i like the data security with governance, keep the lilits of the data. I frequently use this for my easy data integration and processing
What do you dislike about the product?
cosstly to use with heavy resources, ifeel i should incorporate more anytical parts and streamlining of data
What problems is the product solving and how is that benefiting you?
Watsonx is very reliable for non coding analysts with easy navigation and ease of integration of data. its a great platform to streamline data and great use of AI. Mainly it provide great data governance to share data across the team with no worries
Review of IBM watsonx.data
What do you like best about the product?
Seamless Integration: Watsonx.data integrated smoothly with our existing hybrid cloud setup and data lakes, eliminating the need for costly migrations. It effortlessly pulled data from SQL databases, CRM platforms, and even legacy systems.
AI-Powered Insights: The built-in automation for data governance saved us countless hours. For example, identifying anomalies in real-time transaction data became 40% faster, improving our fraud detection accuracy.
Scalability: Handling terabytes of customer behavior data during peak sales periods was seamless. We scaled resources without downtime, which was a game-changer for quarterly reporting.
Hybrid Flexibility: The ability to deploy on-premises and cloud environments gave us control over sensitive data while leveraging cloud elasticity for analytics workloads.
AI-Powered Insights: The built-in automation for data governance saved us countless hours. For example, identifying anomalies in real-time transaction data became 40% faster, improving our fraud detection accuracy.
Scalability: Handling terabytes of customer behavior data during peak sales periods was seamless. We scaled resources without downtime, which was a game-changer for quarterly reporting.
Hybrid Flexibility: The ability to deploy on-premises and cloud environments gave us control over sensitive data while leveraging cloud elasticity for analytics workloads.
What do you dislike about the product?
Learning Curve: Initial setup required deep dives into documentation, and some team members found the interface non-intuitive. However, IBM’s customer support provided helpful tutorials.
Cost Considerations: While powerful, the pricing model may be prohibitive for smaller teams. We’d love more flexible tiers for mid-sized projects.
Cost Considerations: While powerful, the pricing model may be prohibitive for smaller teams. We’d love more flexible tiers for mid-sized projects.
What problems is the product solving and how is that benefiting you?
campaign analysis, watsonx.data correlated social media sentiment with sales data, revealing untapped customer segments. This led to a 15% boost in targeted ad ROI—a win our execs celebrated.
My review
What do you like best about the product?
The IBM watsonx.data has the built-in machine learning features.so it helps us to find the risk,fraud and autumate the services. It is helpful in financial services like finding frauds,risk factors of financial growth/development etc.
What do you dislike about the product?
Most dislike about watsonx.data is like sometimes it is too slow.
What problems is the product solving and how is that benefiting you?
It is helping us to process the larger data sets efficiently.
Automated processes improve efficiency while user interface and accessibility need enhancements
What is our primary use case?
In my role as an integrator, my primary use cases for IBM Watson Studio involve advanced analytics and predictive analytics for telecommunications, banks, and similar large enterprises. My customers utilize IBM Watson Studio for data cleansing, prediction, deployment, scoring, and other data science-related tasks.
What is most valuable?
In my experience, AutoML is the most valuable feature of IBM Watson Studio. This capability saves a significant amount of time by automating processes that typically involve manual work, such as data cleaning, feature engineering, and predictive analytics, and it does these efficiently for numerous models at once. Additionally, IBM Watson Studio now includes some generative AI models built in, which is also beneficial.
What needs improvement?
IBM Watson Studio, while powerful, lacks user-friendliness. It is not easy to use, particularly for medium or small enterprises or less experienced staff. Another aspect that requires improvement is the complexity involved in computer vision tasks. The integration capabilities have not significantly impacted workflow since there are simpler tools like Alteryx and Nine. The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale. IBM should work on optimizing the user interface and enhancing the product's accessibility for medium and small enterprises.
For how long have I used the solution?
I have been working with IBM Watson Studio for maybe three to four years.
What was my experience with deployment of the solution?
Setting up IBM Watson Studio is a complex, IT-based process that includes tasks such as sizing based on intended use cases, setting up Kubernetes clusters for scalability, obtaining authorizations from IT teams, and more. The whole deployment process usually takes about a month.
What do I think about the stability of the solution?
IBM Watson Studio is generally stable, though there are instances where it stalls during large-scale data calculations. Expertise in optimization is necessary to manage such issues effectively.
What do I think about the scalability of the solution?
I rate IBM Watson Studio seven out of ten for scalability because while it scales, it requires significant resources to do so, making it expensive compared to some competitors. The same tasks could be performed with fewer resources using other products.
How are customer service and support?
The technical support for IBM Watson Studio is challenging, with a rating of five. The community access is weak, which limits the ability to engage in discussions and find documentation and examples of similar cases effectively.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
Nine and Alteryx are simpler and more intuitive compared to IBM Watson Studio.
How was the initial setup?
I rate the initial setup as six, indicating it is somewhat difficult to set up. It involves a complex, IT-based process which is not straightforward.
What was our ROI?
My customers have seen returns on investment through increased efficiency, automated calculations, improved accuracy in pricing, and reduced staffing needs due to the automation. However, the ROI could be improved considering IBM Watson Studio's cost.
What's my experience with pricing, setup cost, and licensing?
IBM Watson Studio is considered rather expensive, with a rating of six or seven. The pricing could be optimized relative to the features and capabilities of the product.
Which other solutions did I evaluate?
Nine and Alteryx are considered better alternatives due to their ease of use.
What other advice do I have?
I would rate IBM Watson Studio overall as a seven. Although IBM Watson Studio has numerous valuable features, it is not user-friendly, especially for medium and small enterprises, and would benefit from improvements in its user interface and user experience.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Leverages advanced AI features for seamless integration in banking projects
What is our primary use case?
I am participating in a project using Watson Studio for developing a chatbot for the banking industry.
How has it helped my organization?
We determined that Watson Studio is the most complete tool for AI projects.
What is most valuable?
Watson Studio is the most complete tool for AI projects. It integrates well with other platforms and offers good scalability. The response speed is also a highlight. Additionally, the support team responds quickly.
What needs improvement?
One area that could be improved is the backup and restoration of the database and the overall database configuration. There were also challenges with programming the network extension in the last project.
For how long have I used the solution?
The use of the solution has been ongoing for one year.
What do I think about the scalability of the solution?
Watson Studio is very scalable. Its ability to integrate and operate with other systems is impressive.
How are customer service and support?
The support team responds quickly. The support quality depends on the SLA or the contract terms.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is easy, scoring an eight out of ten in terms of ease.
What about the implementation team?
A team of three to four engineers is involved in the deployment and maintenance. Their roles include system administration and server configuration.
What was our ROI?
The product offers a significant return on investment through its scalability and integration capabilities. Response speed is improved by about eight percent.
What's my experience with pricing, setup cost, and licensing?
The pricing of Watson Studio is justified by the benefits and power it offers.
Which other solutions did I evaluate?
We compared Watson Studio with other options, including Red Hat.
What other advice do I have?
There were challenges with programming the network extension. Overall, Watson Studio was rated positively.
I would rate it ten out of ten.
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