IBM watsonx.data PayGo
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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.
A game changer in data analytics
What do you like best about the product?
It is so impressive because it offers flexible and scalable way to handle large amount of data.It has very user friendly interface which makes
it more easier to work with data.It is easily understandle to tech and non tech persons which increase the productivity.
it more easier to work with data.It is easily understandle to tech and non tech persons which increase the productivity.
What do you dislike about the product?
I feel pricing could be concern for any organizations with small teams and low budgets.
What problems is the product solving and how is that benefiting you?
IBM Watsonx.data helps me in efficiently managing and analyzing large datasets from multiple sources. It provides a platform for data access, enabling quicker insights and reducing the complexity of data processing.
Wonderful co-assistant
What do you like best about the product?
I like the natural dialogue and interactions
What do you dislike about the product?
I think the system still may require some other intermediate step processing that could help with argumentative mining
What problems is the product solving and how is that benefiting you?
I am using it to help with better customer feedback and automated services
Overall Complexity
What do you like best about the product?
Getting the correct response is essential in currect AI related market and watson gets the job done. Though you have to be precise regarding your prompts and explain the situation and then provide the prompt.
What do you dislike about the product?
Sometimes after providing the precise prompts the answers are quite repitative.
What problems is the product solving and how is that benefiting you?
First and the formost it boosts the productivity. It is 10 fold to ask the watson rather then rabbit hole on google or stackoverflow.
Also, the data processing is first and accurate and eventualy you will get the clean datasets or data.
Also, the data processing is first and accurate and eventualy you will get the clean datasets or data.
I'm really liked the datastax.ai
What do you like best about the product?
Database company offers a suite of products datastax enterprises DSE and thay have expended AI / ML datastax.ai
What do you dislike about the product?
Even with astra managing distributed cassendra cluster cen required a lot of operational resources.
What problems is the product solving and how is that benefiting you?
Datastax excels is real time data management making at highly suitable for AI/ML it is supports hybrid and multi cloud environments allowing businesses
I can just drag and drop the workflow for my Datastax Langflow AI application
What do you like best about the product?
I like the wide range of Open-source options available included by datastax.
What do you dislike about the product?
I need more videos tutorials and templates for this datastax's Open-source platforms provided.
What problems is the product solving and how is that benefiting you?
I am using RAG for my e-commerce website to streamline my response for the customers with predefined dataset and the best thing it can train on its own.
Devops engineer
What do you like best about the product?
Cost efficiency great in the market, excelent scalability and optimized for AI data
What do you dislike about the product?
Complexity of the whole system and the learning curve is too much a burden compared with other ones
What problems is the product solving and how is that benefiting you?
Ai model training woks great with a relatively low cost
Great Data Platform, just a couple issues
What do you like best about the product?
IBM Watsonx.data has been super helpful for handling all of our data. One of the things I appreciate most is how easily it connects with different cloud platforms. We deal with a lot of data, and the platform has made it much easier to manage and analyze everything without slowing down. The AI features are a big plus—they save us time by automating a lot of the heavy lifting when it comes to data analytics.
What do you dislike about the product?
It’s definitely not the easiest platform to get the hang of. If you’re new to IBM’s tools, it can take a while to really figure things out. Setting it up and getting it customized for what we need took longer than expected, and the documentation could be a bit clearer, especially when you're trying to solve specific problems.
What problems is the product solving and how is that benefiting you?
We use Watsonx.data to make our data processing and analysis more efficient. It’s cut down the time we spend preparing and cleaning data, which lets us focus on actually getting insights from it. The AI features have really helped with predictive analytics, so we’re able to make smarter decisions based on real-time data. Overall, it’s improved our workflow a lot, but we’re still working through some of the more complicated setup.
Working on free experimental database for open access, publicly sourced data
What do you like best about the product?
The team has been in close contact throughout the process, providing tutorials and answers that helped us understand the expectations and processes.
The benefits have been customer support
The benefits have been customer support
What do you dislike about the product?
The tutorials often do not match my needs. I needed specific details to use the APIs in a format that did not match my expectations or possibly my needs. I am able to build apps that upload our data to DataStax. But I am unable to access the vector search parameters because the method that I used to upload the data is not the preferred method to query the database. In order to use the tutorials for querying the database, we would have to completely start from scratch with uploading the dataset using the same tutorials. Unfortunately, those tutorials are not set up in a manner that I understand how to upload the data. As such, I find that I might have to build my own database query pipeline
This is a problem for ease of use, ease of integration, ease of implementation
This is a problem for ease of use, ease of integration, ease of implementation
What problems is the product solving and how is that benefiting you?
We are starting a new, free experiment with DataStax to provide Wikidata's data to the world via a DataStax vector database.
We are new to the process of vectorising our data. DataStax has been very helpful in assisting us to build the database and understand the implementation of a vectorised database for integrating our data.
We are new to the process of vectorising our data. DataStax has been very helpful in assisting us to build the database and understand the implementation of a vectorised database for integrating our data.
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