IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Product | Market Share (%) |
---|---|
IBM Cloud Pak for Data | 17.0% |
Denodo | 34.2% |
TIBCO Data Virtualization | 16.1% |
Other | 32.69999999999999% |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | N/A | 93% | 186 interviewsAdd to research |
Azure Data Factory | 4.0 | N/A | 92% | 92 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 6 |
Large Enterprise | 6 |
Company Size | Count |
---|---|
Small Business | 92 |
Midsize Enterprise | 51 |
Large Enterprise | 296 |
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
IBM Cloud Pak for Data was previously known as Cloud Pak for Data.
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Author info | Rating | Review Summary |
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Data asset management engineer at a tech services company with 1-10 employees | 3.5 | As a data steward for African banks, I use IBM Cloud Pak for reference data management. It excels in tracking data origins and quality. However, a comprehensive demo database would improve understanding. The choice of solution depends on client maturity. |
Associate Manager at a consultancy with 10,001+ employees | 3.5 | In my experience with IBM Cloud Pak for Data, the most valuable features are the IBM Watson Catalog and data pipelines. However, the tool's catalog searching requires improvement, and handling metadata queries poses a challenge due to ISX format limitations. |
Production In-Charge(Manager) at ING | 4.5 | I use IBM Cloud Pak for Data for spend and contract analytics, focusing on category management and supplier relationship improvements. It connects siloed data sources well but could improve in performance and availability to address cloud issues. |
Associate Manager at a consultancy with 10,001+ employees | 4.5 | No summary available |
Project Manager at Blue Technology | 4.5 | I recently worked on projects in Mexico using IBM Cloud Pak for Data to design e-commerce systems and sales proposals. It's valuable for data preparation and AI model integration, though it needs improved connectors and advanced data curation features. |
Lead Architect at a financial services firm with 10,001+ employees | 4.5 | In our POC phase with IBM Cloud Pak for Data, we find the ETL layer and data stage valuable, but we need it to work with our standard Kubernetes orchestration layer instead of relying solely on the OpenShift container platform. |
Freelance Innovation & Delivery at DMC | 3.0 | I found IBM Cloud Pak for Data valuable for its data quality and ETL tools, which helped us meet ROI requirements. However, the user experience needs improvement. We switched from a previous solution for its capabilities and cost-efficiency in data governance. |
Senior Data Architect at AZframe | 4.5 | I find IBM Cloud Pak for Data valuable for creating a data catalog with Watson Knowledge Catalog, which enhances data profiling and quality. Its ROI depends on data quality improvement, though it could benefit from additional connectors for broader functionality. |