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The experience is great
What do you like best about the product?
Its reliable and easy to use.Its the best I have used
What do you dislike about the product?
It can be user friendly. For non-technical background persons , you can make it more usable.
What problems is the product solving and how is that benefiting you?
It is used for solving Big data processing problems and is very useful
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Good things about watsonx
What do you like best about the product?
IBM watsonx.data is very powerful and easy to use. A single metadata layer, working on cloud and on-premises setups, makes this the view to see all data from one place. What I found most interesting was the way in which complex analytics were shown with the data. It was just brilliant in the way it managed regular and unstructured data, making me far more productive. IBM watsonx.data has really been my go-to tool for all of my data work.
What do you dislike about the product?
High maintenance cost and limited resources
What problems is the product solving and how is that benefiting you?
IBM watsonx.data gathers, stores, analyzes business data and provides a single platform solution.
Quality of Product
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
This helps users create a single source of truth for all their data, making it easier to access, manage, and analyze. Users benefit from faster insights and AI-powered automation, helping them make quicker, more informed decisions.
Journey with IBM
What do you like best about the product?
Ease of use and intuitive interface ,Powerful analytics capabilities.Seamless integration with other IBM tools.
What do you dislike about the product?
Steep learning curve High cost for enterprise plans
Integration issues with non-IBM tools
Data quality and preparation challenges
Limited customization options
Integration issues with non-IBM tools
Data quality and preparation challenges
Limited customization options
What problems is the product solving and how is that benefiting you?
Enhanced Decision-Making: Data-driven insights for informed decisions.. Improved Operational Efficiency: Streamlined data management.. Increased Revenue: Identified business opportunities and optimized processes.
Better Customer Experience: Personalized services through data analysis.
5l Competitive Advantage: Actionable insights for strategic planning.
Reduced Costs: Optimized resource allocation and minimized errors.
Faster Time-to-Market: Accelerated data analysis and innovation.
Better Customer Experience: Personalized services through data analysis.
5l Competitive Advantage: Actionable insights for strategic planning.
Reduced Costs: Optimized resource allocation and minimized errors.
Faster Time-to-Market: Accelerated data analysis and innovation.
Best insights on data
What do you like best about the product?
Effortlessly allows us to connect over different sources of data. Easily accessed and efficient. The most fascinating thing is compliance. It's quick insights and strategies are highly appreciated for anyone looking to utilize data effectively
What do you dislike about the product?
I think it lacks personalization and it's costly for startups to initially test and then to invest. If someone is new to this, then they might feel difficulty in setting up setup
What problems is the product solving and how is that benefiting you?
Enhanced decision making and easily we can consolidate data. Quick analysis and can be accessed easily from anywhere. It solves compliance and regulatory challenges
Modelling data pipelines, code design and optimization of workflows
What do you like best about the product?
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.
What do you dislike about the product?
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.
We had to alter the systems and take support from IBM to resolve the issues.
After that everything seems to be good.
What problems is the product solving and how is that benefiting you?
Duplication is bigger problem in maintaining our data.
Watsonx provided better solution for it.
Along with consistency in data models.
Watsonx provided better solution for it.
Along with consistency in data models.
Feedback review
What do you like best about the product?
It is good and accurate artificial intelligence platform.
What do you dislike about the product?
Seen as disruptive technology.
Maintenance.
Doesn't process structured data directly.
Maintenance.
Doesn't process structured data directly.
What problems is the product solving and how is that benefiting you?
IBM Watsonx.data simplifies data integration, scales storage, ensures governance, and accelerates AI-driven insights, benefiting organizations with faster analysis and cost efficiency.
An amid user of IBM watsonx.data
What do you like best about the product?
Worked on optimization and achieved good results
What do you dislike about the product?
I liked everything about it and there is nothing that i disliked
What problems is the product solving and how is that benefiting you?
Clearly resolved and optimized various data related problems
Short review
What do you like best about the product?
It's perfect and unique which helps all the stakeholders in the future.
What do you dislike about the product?
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.
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.
What problems is the product solving and how is that benefiting you?
1. Unified Data Access: It enables access to diverse data sources (structured, unstructured, and semi-structured) from a single platform, eliminating the need to move or duplicate data across systems.
Benefit: This simplifies data management, allowing easier analysis and decision-making from a unified interface, improving productivity.
2. Scalable Data Processing: Watsonx.data supports large-scale analytics with distributed computing and integration of big data technologies like Apache Spark and Hadoop.
Benefit: This helps in processing massive datasets efficiently, which is crucial for data-driven decision-making in real-time scenarios.
Benefit: This simplifies data management, allowing easier analysis and decision-making from a unified interface, improving productivity.
2. Scalable Data Processing: Watsonx.data supports large-scale analytics with distributed computing and integration of big data technologies like Apache Spark and Hadoop.
Benefit: This helps in processing massive datasets efficiently, which is crucial for data-driven decision-making in real-time scenarios.
Optimization review
What do you like best about the product?
It is giving accurate optimization as per expectations. I would recommend to use it
What do you dislike about the product?
Not able to upload huge files and ppt recommendations
What problems is the product solving and how is that benefiting you?
Code optimization
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