Pricing score

8.6

IBM watsonx.ai Pricing Profile

IBM Cloud Pak for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization.

Key Takeaways

Unified Data Platform

IBM Cloud Pak for Data brings together a variety of data services, such as data integration, data governance, data science, AI, and data visualization, in one unified platform.

AI and Machine Learning Capabilities

The platform integrates with IBM Watson Studio for end-to-end data science and machine learning, enabling users to build, train, and deploy predictive models using a variety of techniques.

Hybrid and Multi-Cloud Deployment

IBM Cloud Pak for Data is designed to run on any cloud infrastructure—public, private, or hybrid. This gives organizations the flexibility to deploy on their preferred cloud (e.g., IBM Cloud, AWS, Azure, Google Cloud).

Product Overview

IBM Cloud Pak for Data is an integrated data and AI platform designed to help organizations collect, organize, analyze, and act on their data. It simplifies and accelerates data-driven decision-making, enabling businesses to manage the full data lifecycle—from data integration and preparation to advanced analytics and AI model deployment.

The platform is built on open-source technologies, runs on any cloud (public, private, or hybrid), and is designed to work with both traditional and modern data architectures. IBM Cloud Pak for Data leverages the power of IBM's cloud-native, containerized services, enabling organizations to modernize their data platforms and scale AI and data operations across various industries.

INSIGHTS

Our insights about IBM Cloud Pak for Data pricing

01

Demo available

02

Custom options

03

Free trial

Available Pricing Models

How much does IBM Cloud Pak for Data cost?

IBM Cloud Pak for Data does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact IBM Cloud Pak for Data directly through their website or speak with a sales representative.

What users say about IBM Cloud Pak for Data pricing

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Yasser A.

IBM Cloud Pak for Data has become an essential tool in driving our organization's digital transformation. The platform's comprehsnive integrated approach to data management, governance, analaytics, and AI has signifcantly streamlined our data operations and empowered us to make data-driven decisions with confidence.

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Verified User in in Computer Software

There might be concerns about the cost associated with utilizing and maintaining the platform.

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Nehal C.

It helped me in data aggregation from different sources seamlessly and provided excellent insights. This would be my go to tool now after sure.

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Tamer S.

Unifying siloed data across our projects into a central platform has been fantastic. This capability has been invaluable, enabling us to consolidate disparate data sources, identify critical trends, and optimize resource allocation with percise.

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Ulka K.

It is faster and can load a lot of data without putting much load on the servers. The data is secured.

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Yasser A.

IBM Cloud Pak for Data has become an essential tool in driving our organization's digital transformation. The platform's comprehsnive integrated approach to data management, governance, analaytics, and AI has signifcantly streamlined our data operations and empowered us to make data-driven decisions with confidence.

avatar

Tamer S.

Unifying siloed data across our projects into a central platform has been fantastic. This capability has been invaluable, enabling us to consolidate disparate data sources, identify critical trends, and optimize resource allocation with percise.

avatar

Verified User in in Computer Software

There might be concerns about the cost associated with utilizing and maintaining the platform.

avatar

Ulka K.

It is faster and can load a lot of data without putting much load on the servers. The data is secured.

avatar

Nehal C.

It helped me in data aggregation from different sources seamlessly and provided excellent insights. This would be my go to tool now after sure.

IBM Cloud Pak for Data Pricing Rating

Data Integration: 4.8/5

IBM Cloud Pak for Data includes tools for data ingestion, ETL (extract, transform, load), and data pipelines to move and transform data across different systems. It supports a wide variety of data sources, including relational databases (e.g., Oracle, SQL Server, Db2), cloud storage (e.g., AWS S3, Google Cloud Storage), NoSQL databases (e.g., MongoDB), and more.

Collaboration: 4.7/5

IBM Cloud Pak for Data is built with collaboration in mind, allowing data scientists, engineers, analysts, and business users to work together on data projects. Features like version control, model sharing, and collaborative notebooks enhance teamwork.

Scalability: 4.9/5

As a cloud-native platform built on containers, IBM Cloud Pak for Data can scale as needed, from a single node to a multi-cluster architecture. This ensures that businesses can handle large datasets and AI workloads efficiently as their data needs grow.

FAQ on IBM Cloud Pak for Data Pricing

Can IBM Cloud Pak for Data be deployed on a hybrid or multi-cloud architecture?

Yes, IBM Cloud Pak for Data is designed for hybrid and multi-cloud deployments. It runs on Red Hat OpenShift, which allows organizations to deploy the platform across multiple cloud environments (e.g., IBM Cloud, AWS, Azure, Google Cloud) and on-premises. This flexibility enables businesses to manage and govern their data, analytics, and AI models seamlessly across different cloud infrastructures and on-prem systems.

Can IBM Cloud Pak for Data be used for big data processing?

Yes, IBM Cloud Pak for Data can handle big data processing. It integrates with technologies like Apache Hadoop, Apache Spark, and Kafka to process large datasets at scale. The platform can ingest, process, and analyze big data from both structured and unstructured sources, making it suitable for industries like finance, healthcare, telecommunications, and manufacturing that require large-scale data processing.

What are the deployment options for IBM Cloud Pak for Data?

IBM Cloud Pak for Data offers flexible deployment options:

- Cloud: It can be deployed on public cloud platforms such as IBM Cloud, AWS, Azure, and Google Cloud.
- On-premises: You can deploy it within your organization’s data center.
- Hybrid and multi-cloud: IBM Cloud Pak for Data supports hybrid cloud environments, allowing businesses to integrate on-premises data with cloud-based systems.

What support options are available for IBM Cloud Pak for Data?

IBM offers several support options for Cloud Pak for Data users:

- IBM Cloud support: Access to a global team of IBM experts for technical support.
- Documentation and tutorials: Comprehensive online resources for learning and troubleshooting.
- IBM Community: Engage with other IBM Cloud Pak for Data users in forums and community spaces.
- Consulting and implementation services: IBM professional services can help with deployment, customization, and optimization.