IBM watsonx.data as a Service
IBM SoftwareExternal reviews
147 reviews
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Easy to use data integration for other watsonx systems
What do you like best about the product?
ease of use, predefined templates, easy to integrate with other services within watsonx ecosystem, easy to implement in scattered organization
What do you dislike about the product?
did not found any issues, or things that I dislike
What problems is the product solving and how is that benefiting you?
Integrate different data sources into one, easy accesible place (allowing to break the siloses)
Best Vector DB experience we had so far
What do you like best about the product?
Fast, easy, responsive team that will help out with issues
What do you dislike about the product?
abstractions can be made better but it would take away flexibility so I understand the current design choices
What problems is the product solving and how is that benefiting you?
Solves RAG pipelines and storage for vectorising data
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
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.
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.
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.
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
Much needed for current data needs
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Sata transformation, cleanings, distributed storage and processing
IBM Watsonx.data review
What do you like best about the product?
Watsonx.data is impressive for its scalability, allowing businesses to handle vast amounts of structured and unstructured data across hybrid cloud environments. It also integrates advanced AI and machine learning capabilities for real-time analytics and decision-making. It also supports dedicated and comprehensive support teams for customer
What do you dislike about the product?
It is little expensive for small scale business or companies handling with less resources
What problems is the product solving and how is that benefiting you?
It is helpful for solving and analysing large complex data by offering automatated data workflows.
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