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.
IBM watsonx.data as a Service
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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?
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.
DataStax brings no-code AI Agents to life
What do you like best about the product?
Very easy to implement. Vast integrations with LLMs and databases. Easy and intuitive to use
What do you dislike about the product?
The way Agents, tools, databases etc... connect can vary from one day to the other, significantly leading to the AI Agents' flows becoming unusable
What problems is the product solving and how is that benefiting you?
The databases are really easy to implement
Langflow by DataStax is hands down the best for multi-agent systems.
What do you like best about the product?
As a dev who wants to get things done while staying flexible, this is a dream come true. You get all the drag-and-drop components for speed and simplicity - but you’re not locked in. You can create your own components and tweak almost anything to fit your needs.
This means you can build complex components while still working with intuitive, easy-to-grasp flows. Custom code can quickly become a tangled mess, and no-code builders can feel too restrictive. Langflow strikes the perfect balance.
Plus, it’s open-source, with a thriving community that’s making it better every day!
You’ve just got to try it. I keep going to langflow.new whenever I want to test something real quick since there’s no login, and you can jump right in. 😄
This means you can build complex components while still working with intuitive, easy-to-grasp flows. Custom code can quickly become a tangled mess, and no-code builders can feel too restrictive. Langflow strikes the perfect balance.
Plus, it’s open-source, with a thriving community that’s making it better every day!
You’ve just got to try it. I keep going to langflow.new whenever I want to test something real quick since there’s no login, and you can jump right in. 😄
What do you dislike about the product?
I only see two downsides.
First, it has fewer integrations compared to other no-code tools like Make.com or n8n. That said, the crucial ones like Google Drive ,Gmail, etc. are already there. Plus, it’s more optimized for agentic systems, where it actually has the most integrations of any platform (vector DBs, model providers, etc.), so it makes sense.
Second, startup time and initial runs can be a bit slow. Given how much functionality it packs, that’s understandable. But I’ve already seen huge improvements in this area, so I’m pretty confident it’ll keep getting better over time.
First, it has fewer integrations compared to other no-code tools like Make.com or n8n. That said, the crucial ones like Google Drive ,Gmail, etc. are already there. Plus, it’s more optimized for agentic systems, where it actually has the most integrations of any platform (vector DBs, model providers, etc.), so it makes sense.
Second, startup time and initial runs can be a bit slow. Given how much functionality it packs, that’s understandable. But I’ve already seen huge improvements in this area, so I’m pretty confident it’ll keep getting better over time.
What problems is the product solving and how is that benefiting you?
Super quick and easy vector DB setup for Langflow!
A great way to learn to build AI applications and agents
What do you like best about the product?
It’s easy to start learning and building right away
What do you dislike about the product?
I can’t think of anything right away. Developers may have a different opinion.
What problems is the product solving and how is that benefiting you?
I used DataStax to build a demo that I can show to customers
DataStax has enabled us to build out game-changing features in our product
What do you like best about the product?
DataStax offers next-level customer support with a great product. The team is always available and eager to help. Astra DB has allowed us to build out some pretty unique features that our customers are loving. I'd recommend their tech to anyone building an AI-first company.
What do you dislike about the product?
We have not had any issues. The DataStax team and product have been great.
What problems is the product solving and how is that benefiting you?
We're using DataStax's products to enhance our ability to offer a unique and customizable experience with our product. Without going into our IP too much, DataStax has enabled some key features that have helped us to stay meaningfully differentiated.
Best Vector DB in the market
What do you like best about the product?
Advanced vector search capabilities, real-time processing, and fully managed database services.
What do you dislike about the product?
Overall the experience was good while leveraging Datastax Astra DB.
What problems is the product solving and how is that benefiting you?
Managing vast volumes of unstructured data across domains required a database solution capable of handling high-throughput, low-latency queries while ensuring data relevance and accuracy.
Seamless communication between your app & cassandra
What do you like best about the product?
Simplified database operations with builtin support for query execution.
DataStax's QueryBuilder API can handle diverse types of queries
DataStax's QueryBuilder API can handle diverse types of queries
What do you dislike about the product?
Learning curve can be steep because of their long list of Query APIs.
What problems is the product solving and how is that benefiting you?
Datastax help overcome the complexity of handling distributed database systems like cassandra.
The drivers can efficiently interact with cassandra without compromising on latency and HA
The drivers can efficiently interact with cassandra without compromising on latency and HA
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.
Started with comparison, but ended up using it for for my MVP
What do you like best about the product?
I would really stress on the Simplicity, when compared to other vectorstores I really liked the astradb and Langflow as well where I played around rag for my MVP and I was the one to introduce the langflow in my team
What do you dislike about the product?
DataStax has a steep learning curve and high costs.
What problems is the product solving and how is that benefiting you?
For rag basically and also used it to compare it with other databases
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