Sold by: IBM SoftwareÂ
Deployed on AWS
Built on a lakehouse architecture, IBM watsonx.data is an open, hybrid, and governed data store optimized for all data, analytics, and AI workloads.
Overview
IBM watsonx.data is an open, hybrid, and governed data store built on an open data lakehouse architecture. The data lakehouse is an emerging architecture that offers the flexibility of a data lake with the performance and structure of a data warehouse. Watsonx.data is an enterprise-ready data store that enables hybrid cloud analytics workloads such as data engineering, data science and business intelligence, through open-source components with integrated IBM innovation.
Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines such as Presto and Spark across IT environments.With the integration of DataStax AstraDB, watsonx.data now extends beyond analytics to support real time operational workloads and advanced AI applications. AstraDB brings enterprise-grade vector database capabilities and multi-model data support, enabling organizations to build generative AI applications, real time recommendation engines, and high-performance operational systems,all within the same unified platform. This integration eliminates the need for separate operational databases and provides seamless data flow between transactional and analytical workloads. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. It also offers built-in governance, automation and integrations with an organization's existing databases and tools to simplify setup and user experience.
Db2 Warehouse and Netezza on AWS natively integrate with watsonx.data with shared metadata and support for open formats such as Parquet and Iceberg to share and combine data for new insights without ETL. Watsonx.data allows customers to augment data warehouses such as Db2 Warehouse and Netezza and optimize workloads for performance and cost.
For trials and customized IBM watsonx.data pricing contact your IBM Sales Representative or email us at watsonx_on_AWS@wwpdl.vnet.ibm.com Visit https://www.ibm.com/products/watsonx-dataÂ
to learn more about our consumption model and product editions.
For more information on IBM watsonx.data visit https://www.ibm.com/products/watsonx-dataÂ
Highlights
- Access all your data across hybrid-cloud: Access all data through a single point of entry with a shared metadata layer across clouds and on-premises environments.
- Get started in minutes: Connect to storage and analytics environments in minutes and enhance trust in data with built-in governance, security, and automation.
- Reduce the cost of your data warehouse by up to 50% through workload optimization: Optimize costly data warehouse workloads across multiple query engines and storage tiers, pairing the right workload with the right engine.
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Deployed on AWS
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Dimension | Description | Cost/12 months |
|---|---|---|
Extra-small Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 2000 Resource Units | $2,000.00 |
Small Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 20000 Resource Units | $20,000.00 |
Medium Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 50000 Resource Units | $50,000.00 |
Large Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 100000 Resource Units | $100,000.00 |
Dimension | Cost/unit |
|---|---|
Overage charge for overconsumption of contracted resource units | $1.10 |
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Updated weekly
By IBM Software
By Databricks, Inc.
By Dremio
Top
50
In Data Warehouses
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Top
10
In Data Warehouses
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
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Positive reviews
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Negative reviews
AI generated from product descriptions
Data Lakehouse Architecture
Built on an open data lakehouse architecture that combines data lake flexibility with data warehouse performance and structure
Multi-Engine Query Support
Supports multiple fit-for-purpose query engines like Presto and Spark across different IT environments
Vector Database Integration
Integrates DataStax AstraDB to provide enterprise-grade vector database capabilities and multi-model data support
Open Format Compatibility
Supports open data formats like Parquet and Iceberg for seamless data sharing and combination across different systems
Hybrid Cloud Data Access
Enables unified data access through a single point of entry with a shared metadata layer across hybrid cloud and on-premises environments
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Data Lake Query Performance
Provides sub-second query response times using SQL query service on data lake platforms
Open Standards Support
Utilizes community-driven standards like Apache Iceberg and Apache Arrow for processing engines
Multi-Source Data Integration
Enables joining data from data lakes and external databases without data movement
Compute Engine Management
Automatically handles compute engine lifecycle including provisioning, scaling, pausing, and decommissioning
VPC-Based Data Processing
Deploys compute engines within customer's Amazon Virtual Private Cloud for secure data processing
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
No security profile
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Customer reviews
0 ratings
0 AWS reviews
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73 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Hari Y.
One place for everything
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
I like the way it represented various sources of data and constructed queries for newbies
What do you dislike about the product?
There is lot of scope to improvise this product and more easy way to implement the service
What problems is the product solving and how is that benefiting you?
Its going to help us understanding the bad data and provide fix as needed
Insurance
Great tool to support our future
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
it gives a view into data at an enterprise level
What do you dislike about the product?
a little clunky especially at the beginning. not very intuitive either.
What problems is the product solving and how is that benefiting you?
Accelerate growth and speed to market with new product offerings
amit b.
WatsonX.data review
Reviewed on Oct 07, 2025
Review provided by G2
What do you like best about the product?
Integration with all variety of data bases
What do you dislike about the product?
Still exploring, will find more as our organization use it more
What problems is the product solving and how is that benefiting you?
Generating data insights
Government Administration
watsonx.data review
Reviewed on Oct 07, 2025
Review provided by G2
What do you like best about the product?
that we can use the milvus database and that it connects easily to the rest of the ibm services.
What do you dislike about the product?
Milvus: milvus admin permissions suck a little, whoever makes it has total control and access is totally seperate from rest of account permissions.
What problems is the product solving and how is that benefiting you?
Solving the problem of holding our data for our project.
Insurance
Great experience with automation
Reviewed on Oct 06, 2025
Review provided by G2
What do you like best about the product?
it gets many unknown information from your data
What do you dislike about the product?
sometimes it is to slow and cosumes to much energy
What problems is the product solving and how is that benefiting you?
it gets a lot of our data and many unknown information