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IBM watsonx.data

IBM watsonx.data

Overview

What is IBM watsonx.data?

Watsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data…

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Recent Reviews

IBM watsonx.data review

9 out of 10
February 26, 2024
Incentivized
IBM watsonx.data helps reduce data duplication by allowing users to share data across the organization. IBM watsonx.data offers deployment …
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Product Review

9 out of 10
February 12, 2024
Incentivized
I used to control wealth management analysts and automate the searches through bundle of documents and public data and this tool helped me …
Continue reading
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Verified User
Program Manager in Product Management
Information Technology & Services Company, 5001-10,000 employees
Verified User
Employee in Information Technology
Information Technology & Services Company, 51-200 employees
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Pricing

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IBM watsonx.data

IBM watsonx.data

N/A
Unavailable

What is IBM watsonx.data?

Watsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data.

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.ibm.com/products/watsonx…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

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Product Demos

IBM watsonx.data

watsonx-data-demo.c8f8f055.public.multi-containers.ibm.com
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Product Details

What is IBM watsonx.data?

Watsonx.data is a fit-for-purpose data store built on an open data lakehouse architecture. The solution is designed to simplify an organization's data landscape to enable data, analytics, and AI at scale. And it provides access to data, wherever it resides, through a single point of entry. Share a single copy of data across workloads without needing to migrate or re-catalog – reducing ETL and data duplication. Watsonx.data lets users connect to data in minutes, get trusted insights and reduce data warehouse costs. Supported by built in governance, security, and automation.


IBM watsonx.data Features

  • Supported: Fit-for-purpose Query Engines
  • Supported: Vendor-Agnostic Data Formats
  • Supported: Cost-effective, Simple, Object Storage
  • Supported: Hybrid Cloud Deployments
  • Supported: Built in Governance, Security and Automation

IBM watsonx.data Integrations

IBM watsonx.data Competitors

IBM watsonx.data Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(7)

Reviews

(1-3 of 3)
Companies can't remove reviews or game the system. Here's why
June 20, 2024

Great database for generative AI applications

Verified User
Program Manager in Product Management
Information Technology & Services Company, 5001-10,000 employees
Score 7 out of 10
Vetted Review
Verified User
Use Cases and Deployment Scope
We use IBM watsonx.data in conjunction with watsonx.ai mainly to create demos and proof-of-concpets (PoC) of generative AI applications. In our case we mainly use Milvus, the vector database implemented in IBM watsonx.data.
Pros and Cons
  • Seamless integration between vector data and the AI engines
  • Pretty good search performance even on large data sets
  • Good cost performance/cost optimization overall
  • The UI can be slow to respond at times (just like many cloud services thought)
  • Semantic automation is still in beta and has no Japanese support yet
  • Loading data to the platform can be slow at times
Likelihood to Recommend
Obviously IBM watsonx.data has been designed to work well with other watson products (mainly watsonx.ai), so it makes sense to use it as a vector database for watson.ai.
The semantic automation feature is promising, but I think it is not ready yet for a large scale rollout so I would recommend using it only for demos/proof of concepts.
Return on Investment
  • Speed up and reduce the cost of building vector databases for generative AI applications
  • Helps training engineers on latest AI technologies
Alternatives Considered
Pinecone and IBM watsonx.data (Milvus in our case) both work great as a full-managed cloud-based vector database.
We selected IBM watsonx.data because it integrates well with watson.ai and is a little more beginner friendly than Pinecone, but I think both are great anyway.
Other Software Used
February 26, 2024

IBM watsonx.data review

Verified User
Employee in Information Technology
Information Technology & Services Company, 51-200 employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
IBM watsonx.data helps reduce data duplication by allowing users to share data across the organization. IBM watsonx.data offers deployment flexibility, with deployed as either a SaaS model or as an on-premises model. Data processing is fast and efficient. IBM watsonx.data is a very user-friendly tool and does not require any coding experience. Hence reducing training costs.
Pros and Cons
  • Data processing.
  • Train AI models.
  • Data storage.
  • API library.
  • It is expensive.
  • Need more documentations.
Likelihood to Recommend
IBM watsonx.data is well suited for companies that involve data processing and AI-based interaction. Social media teams can use this tool to retrieve various analysis data. IBM watsonx.data helps save both time and cost.
Return on Investment
  • Increased productivity.
  • It is costly.
  • Improved data collection and processing.
Alternatives Considered
IBM watsonx.data helps in reducing data warehousing costs. IBM AIOps Insights focuses mainly on incident management, while IBM watsonx.data provides a flexible data store.
Other Software Used
February 12, 2024

Product Review

Verified User
Former Employee in Product Management
Pharmaceuticals Company, 10,001+ employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
I used to control wealth management analysts and automate the searches through bundle of documents and public data and this tool helped me to get the meaningful insights. It helps to easy data access for analysis, user experience by enhancing cloud based analytics and AI capabilities, resource utilization and data modernization which can lead to more agile and effective data management practices.
Pros and Cons
  • deployment foundation
  • Machine learning models like Scale AI
  • Data governance
  • Too expensive so reduce the price
  • Provide room for Asset management
  • everyone know about licenses, its too expensive so reduce the prices
  • Integrations are not flexible and not easy to use
Likelihood to Recommend
As I mentioned well suited for many scenarios whenever I work to fetch the reports, helps effortlessly reach and examine the widespread data, making the most of our resources to provide more better UI experience. You can use more of the AI features and provide easy integration options to connect with different systems.
Return on Investment
  • AI stuff helped
Alternatives Considered
May be I cannot say why I choose, business preferred to use IBM watsonx.data which is good for me as well to learn. I cannot compare this tool with others because it has unique feature which Alteryx or Amazon or Azure dont have. So this tool is going good for us.
Other Software Used
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