Scale AI workloads for all your data, anywhere.

Open

May 11, 2023

WatsonX.data by IBM

Data analysis

3,500

No ratings

Use tool Copy 🔗

Inputs:

Outputs:

Scale AI workloads for all your data, anywhere.

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Data analysis104 0

Data Management Scaled Analytics Enterprise Solutions IBM Watson Big Data Business IntelligenceFree + from $1050/mo

Most popular alternative: DataSquirrel (988 saves)

View 7 alternatives Recommendations

By unverified author Claim this AI

Watsonx.data is a fit-for-purpose data store optimized for governed data and AI workloads, designed to help enterprises scale their analytics and AI capabilities.

With watsonx.data, users can quickly connect to data sources, get trusted insights and lower data warehouse costs. The tool is optimized for all data, analytics and AI workloads and features an open, hybrid and governed data store that allows users to access and share data.

Watsonx.data includes a shared metadata layer to access all data through a single point of entry, and built-in governance, security and automation to enhance trust in data.

The tool enables users to reduce the cost of their data warehouse by up to 50% by optimizing costly data warehouse workloads across multiple query engines and storage tiers.Watsonx.data supports a range of fit-for-purpose query engines, including Presto, Spark, Db2 and Netezza, which dynamically scale up and down to drive analytics costs down.

Users can store vast amounts of data in vendor-agnostic open formats, such as Parquet, Avro and Apache ORC, and share a single copy of data across multiple query engines using Apache Iceberg table format and shared metadata.

The tool includes semantic automation to help users discover, augment, refine and visualize watsonx.data and metadata through the power of watsonx.ai models.

Watsonx.data enables enterprises to build, train, tune, deploy and monitor trusted AI models for mission-critical workloads with data in the lakehouse and ensure compliance with lineage and reproducibility of data used for AI.

Watsonx.data helps streamline data engineering, reduce data pipelines, simplify data transformation and enrich data for consumption using SQL, Python or an AI-infused conversational interface.

Finally, Watsonx.data enables enterprises to support self-service access for more users to more data while enabling security and compliance with centralized governance and local automated policy enforcement.

Releases

Get notified when a new version of WatsonX.data by IBM is released

Notify me

Initial release

May 6, 2023

Initial release of WatsonX.data by IBM.

+ Submit new release

Pricing

Pricing model

Free Trial

Paid options from

$1,050/month

Billing frequency

Monthly

Use tool

Save

🔗 Copy link

🗳️ Vote Best AI Tool

Featured

Data analysis WatsonX.data by IBM

Data analysis

3,500

No ratings

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Use tool

Save

Related tasks

Data management12 0

Reviews

No ratings yet.

★ ★ ★ ★ ★ 0

★ ★ ★ ★ 0

★ ★ ★ 0

★ ★ 0

★ 0

How would you rate WatsonX.data by IBM?

Help other people by letting them know if this AI was useful.

Your rating

★ ★ ★ ★ ★

Post

Prompts & Results

Title:

Description:

Prompt type*:

Prompt*:

Output type*:

Output*:

Add your own prompts and outputs to help others understand how to use this AI.

WatsonX.data by IBM was manually vetted by our editorial team and was first featured on May 11th 2023.

Promote AI Claim AI New release

Jason AI

AI-powered assistant for B2B sales outreach

Sales

Open

75,816
515
4.2

v2.5 released 1mo ago
From $500/mo
Share

30,009 jasonai.tech

piw

🙏 30 karma

Oct 8, 2025

that's such a great AI

4818 Reply Share Edit Delete Report
Speechmatics | AI Voice Agents

Build smarter AI voice agents with the best speech recognition technology

Voice agents

Open

27,221
25
3.6

Released 1mo ago
Free + from $0.24
Share

25,459 www.speechmatics.com

Timeship

🙏 11 karma

Oct 19, 2025

Computers should be allowed to TALK to us for free, like in the Star Trek TV series. Our future grandchildren will laugh at us for "paying" to use this everyday option, biting the hook to "monthly subscriptions" like gullible fish and then getting up to 60,000 characters per month" under the so-called Pro version ;-) This is crazy!

1 Reply Share Edit Delete Report

Pros and Cons

Pros

Optimized for all workloads

Shared metadata layer

Open, hybrid, governed data store

Reduces data warehouse costs

Supports multiple query engines

Stores data in open formats

Single copy of data shared

Semantic automation included

Compliance with lineage and reproducibility

Streamlined data engineering

Simplifies data transformation

Enriches data for consumption

Self-service access enabled

Centralized governance and automated policy enforcement

View 9 more pros

Cons

Lack of real-time analysis

Vendor-agnostic formats only

Limited query engines compatibility

Complicated transformation procedure

Compliance with only Watsonx.ai models

Limited support

No dedicated mobile application

Usage can be complex for beginners

Costly for small businesses

No inbuilt visualization tool

View 5 more cons

7 alternatives to WatsonX.data by IBM for Data analysis

Grapha AI

Uncover hidden trends and patterns in your data effortlessly.

45,092
230
3.3

Released 1y ago
From $150
Share
9,154 grapha.ai

Harishma Reghu

🙏 7 karma

Jan 13, 2024

Super useful tool that’s reduced my job by 80%

52 Reply Share Edit Delete Report
DataSquirrel

Data cleaning & visualization for insights gained.

38,536
988
4.4

Released 2y ago
Free + from $15/mo
Share

Aakriti Mahajan

🙏 11 karma

Aug 1, 2023

It is the ease of use for me. DataSquirrel is fast, the UI is super intuitive, and the guided analysis feature is highly convenient. I have officially moved from uploading CSV files from Google sheet to DataSquirrel. Within minutes, I can visualize my data and interpreting it becomes super simple.

121 Reply Share Edit Delete Report
Breadcrumb

Automate data work and reporting with AI Agents. No data|coding skills required.

30,157
221
4.4

v1.8.3 released 11mo ago
Free + from $30/mo
Share
1,180 www.breadcrumb.ai

Thu Ha Vu

🙏 22 karma

Nov 13, 2024

Signed up for a pro account for Google Drive integration. Works great! Saves me a lot of manual excel work.

197 Reply Share Edit Delete Report
ChartPixel

AI-assisted graphs and insights in 30 seconds!

20,529
86
4.0

Released 2y ago
No pricing
Share
7,209 chartpixel.com

Prakhar Pratap Mall

🙏 14 karma

Feb 23, 2025

I really value the sentiment analysis tool—it simplifies understanding customer feedback by picking up on their emotions. Plus, the way it groups comments into topics is super helpful for decision-making.

61 Reply Share Edit Delete Report
Storytell.ai

Turn your data chaos into meaningful insights

20,583
264
4.3

v2.0 released 8mo ago
#34 in Trending
Share

asusi zuppa

🙏 71 karma

Nov 6, 2024

Immo currently best solution if you want to convert / enchant your how-to tutorials to more professional!

8233 Reply Share Edit Delete Report
Vizly

Analyze your Excel spreadsheet or CSV in seconds!

19,321
299
3.3

Released 2y ago
Free + from $19.99/mo
Share

Amir Abushanab

🙏 11 karma

Mar 26, 2024

I can't help but rave about this product because of the level of craftsmanship in it; Vizly is made for data scientists, by data scientists, and it shows. Having tried various tools in the space, I can confidently say it's the best by a mile, the UX is silky smooth and will feel familiar to any data scientist, and yet it manages to supercharge your workflows - I gurantee you'll be a few times more productive, can't recommend it enough.

54 Reply Share Edit Delete Report
Luminal

Clean, transform and analyze spreadsheets 10x faster with a powerful AI copilot

15,524
193
3.4

Released 2y ago
Free + from $5
Share

neu gls

🛠️ 1 tool 🙏 28 karma

Mar 20, 2025

Have you tried excelmatic.ai, it seems good

2 Reply Share Edit Delete Report

View 162 more alternatives

Q&A

What is WatsonX.data?

WatsonX.data is a fit-for-purpose data store by IBM, optimized for governed data and AI workloads. It is designed to help enterprises scale their analytics and AI capabilities, offering quick connection to data sources, trusted insights, and reduced data warehouse costs.

What are the main features of WatsonX.data?

WatsonX.data offers several features including an open, hybrid, and governed data store that allows users to access and share data. It also includes a shared metadata layer, built-in governance, security and automation, query engine support for Presto, Spark, Db2, and Netezza, storage for vast amount of data in open formats, and semantic automation to refine and visualize data and metadata. It also helps in reducing data warehouse costs and supporting data-driven AI model training.

What is the purpose of the shared metadata layer in WatsonX.data?

The shared metadata layer in WatsonX.data provides a single point of entry to access all data. It is built across clouds and on-premises environments, making it easily accessible regardless of the origin of data, thus expedite data discovery and usage.

How can WatsonX.data help reduce data warehouse costs?

WatsonX.data helps reduce data warehouse costs by up to 50%. It optimizes costly data warehouse workloads across multiple query engines and storage tiers, strategically aligning the right workload with the right engine. This optimization lowers the costs associated with maintaining and running these workloads.

What types of query engines does WatsonX.data support?

WatsonX.data supports a variety of fit-for-purpose query engines such as Presto, Spark, Db2, and Netezza. These engines dynamically scale up and down to make analytics more cost-efficient and to meet real-time processing needs.

In what formats can data be stored in WatsonX.data?

WatsonX.data allows data to be stored in vendor-agnostic open formats. These include formats like Parquet, Avro, and Apache ORC. Additionally, it leverages Apache Iceberg table format and shared metadata to share a single copy of data across multiple query engines.

+ Show 14 more

What is semantic automation in the context of WatsonX.data?

Semantic automation in WatsonX.data helps users discover, augment, refine, and visualize data and metadata. It leverages the models of watsonx.ai to automate the process of understanding the meaning and context of data, thereby reducing manual interpretation efforts and enhancing data accuracy.

How does WatsonX.data enhance data trust?

WatsonX.data enhances trust in data with its in-built governance, security, and automation features. It provides a shared metadata layer across clouds and on-premises environments and offers automated policy enforcement to ensure data privacy and compliance.

Can WatsonX.data be used to train AI models?

Yes, WatsonX.data can be used to build, train, tune, deploy, and monitor AI models. This includes mission-critical workloads with data in the lakehouse. It also ensures compliance with data lineage and reproducibility requirements for AI model development.

What are the compliance features offered by WatsonX.data?

WatsonX.data offers detailed lineage and reproducibility compliance features. It incorporates automated policy enforcement to ensure data follows local laws and regulations. This built-in compliance component bolsters data integrity and trust, while aligning with business and regulatory compliance requirements.

How does WatsonX.data streamline data engineering?

WatsonX.data streamlines data engineering by reducing data pipelines, simplifying data transformation, and enriching data for consumption using SQL, Python, or AI-infused conversational interface. This helps businesses manage their data processes more efficiently and effectively.

How does WatsonX.data promote self-service access to data?

WatsonX.data promotes self-service access by offering an open, hybrid, and governed data store that enables more users to access more data. It pairs this with centralized governance and local automated policy enforcement to maintain the balance between data accessibility and security.

What security measures are in place for WatsonX.data?

WatsonX.data has security measures in place in the form of built-in governance, security, and automation. This ensures trusted data access and exchange and includes centralized governance and local automated policy enforcement, helping to secure the data while maintaining compliance with regulations.

Can WatsonX.data integrate with existing data analytics tools?

Yes, WatsonX.data can connect with existing data analytics tools to unlock new insights without the cost and complexity of duplicating and moving data. It can integrate with IBM Cognos and other third-party business intelligence and dashboarding tools for efficient data visualization and analytics.

What languages can be used for data transformation in WatsonX.data?

WatsonX.data supports data transformation using SQL and Python languages. It also includes an AI-infused conversational interface to simplify and enrich the data transformation process.

How does WatsonX.data enable scalable analytics and AI?

WatsonX.data enables scalable analytics and AI by providing an optimized data store for governed data and AI workloads. It quickly connects to data sources, offers trusted insights, and reduces data warehouse costs. In addition, it supports a range of query engines that dynamically scale and allows vast amounts of data to be stored in open formats.

What kind of data management capabilities does WatsonX.data support?

WatsonX.data supports comprehensive data management capabilities including storage of vast amounts of data in vendor-agnostic open formats, sharing a single copy of data across multiple query engines, built-in governance, security and automation features, and centralized governance with local automated policy enforcement. It can connect to a range of data sources in minutes to provide trusted insights.

How does WatsonX.data connect to data sources?

WatsonX.data can quickly connect to data sources within minutes. This includes storage and analytics environments across hybrid-cloud and on-premises setups. The connection process is designed to be quick and straightforward, enabling users to start deriving insights from their data as soon as possible.

How does WatsonX.data support AI and machine learning at scale?

WatsonX.data supports AI and machine learning at scale by providing a suitable environment to build, train, tune, deploy and monitor AI models for mission-critical workloads. It ensures compliance with lineage and reproducibility of data used for AI, enabling users to create trusted AI models at scale.

How can enterprises use WatsonX.data for business intelligence?

Enterprises can use WatsonX.data for business intelligence by connecting existing data with new data in minutes and unlocking new insights without the cost and complexity of duplicating and moving data. Integration with IBM Cognos and other third-party business intelligence and dashboarding tools enables data visualization and allows enterprises to access significant business insights in real-time.

Ask a question

Submit