IBM watsonx.data as a Service
IBM SoftwareExternal reviews
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A perfect technology partner to build AI applications
What do you like best about the product?
Astra's Vector capabilites is one of the foundations of our product. From vectorising product catalogues and partner data to searching complex queries, in real-time, on unstructured data, it's an incredibly powerful tool.
When working with larger brands it's imperative that we're enterprise-ready, that our models are fully customizable and can be hosted in partner environments - something which DataStax allows us to do.
Finally, the team at DataStax are just awesome. They have been supportive from day 1, supporting us from MVP to enterprise-ready software. The team do an amazing job at ensuring the tech is up to date and providing us with great support whenever we need it.
When working with larger brands it's imperative that we're enterprise-ready, that our models are fully customizable and can be hosted in partner environments - something which DataStax allows us to do.
Finally, the team at DataStax are just awesome. They have been supportive from day 1, supporting us from MVP to enterprise-ready software. The team do an amazing job at ensuring the tech is up to date and providing us with great support whenever we need it.
What do you dislike about the product?
There isn't much to dislike about DataStax. The team and product is brilliant.
What problems is the product solving and how is that benefiting you?
Vexctorising unstructured data and providing large customers with an enterprise-ready solution.
More than a partner
What do you like best about the product?
I started using AstraDB because it was mentioned as one of the options available to implement memory in Langchain.
The implementation was straightforward and it's worked seamesly from day one.
In the DataStrax team I found a reliable partner and they helped me to find solutions when I was stuck in the process, advicing and using their experience and experties to our service.
The implementation was straightforward and it's worked seamesly from day one.
In the DataStrax team I found a reliable partner and they helped me to find solutions when I was stuck in the process, advicing and using their experience and experties to our service.
What do you dislike about the product?
Honestly nothing. Even when my requests were outside their main experities, they found a way to be supportive.
What problems is the product solving and how is that benefiting you?
Storing conversation for a GenAI application
Enterprise data
What do you like best about the product?
Predefined busienss ready datasets ready to use with AI models.
What do you dislike about the product?
Would look for more possibilities to adjust predefined datamodels.
What problems is the product solving and how is that benefiting you?
It is helping me to easily build datasets for AI PoCs
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.
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.
My Experience with IBM watsonx.data
What do you like best about the product?
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.
What do you dislike about the product?
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
It takes time to learn all the features
Customization options could be limited userfriendly
Limited support resources may slow down the learning process
What problems is the product solving and how is that benefiting you?
Simplified Data Integration: Enhanced team collaboration through easy integration of multiple data sources.
Efficient Data Management: Easier handling of structured and unstructured data for quicker insights.
Faster Decision Making: Real time analytics enable quick adaptation to market changes.
Scalable Performance: Maintains strong performance as data volume grows.
Robust Security:Protects sensitive data ,ensuring peace of mind.
Improved Efficiency: Supports better decisionmaking across projects.
Efficient Data Management: Easier handling of structured and unstructured data for quicker insights.
Faster Decision Making: Real time analytics enable quick adaptation to market changes.
Scalable Performance: Maintains strong performance as data volume grows.
Robust Security:Protects sensitive data ,ensuring peace of mind.
Improved Efficiency: Supports better decisionmaking across projects.
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.
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