Informatica Intelligent Data Management Cloud
What is Informatica Intelligent Data Management Cloud?
Cloud-based platform based on central, AI-supported services for implementing operational and analytical data tasks, e.g. data integration, data quality, master data management, API management, data cataloging, governance and data marketplace.
- Informatica Intelligent Data Management Cloud functions (BARC classification)
● = Function covered, ●● = Functional focus
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●● = Functional focus
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About Informatica Intelligent Data Management Cloud
Self-description of the vendor
Informatica Intelligent Data Management Cloud BARC Review & Rating
Provider and product description
Informatica, based in Redwood, CA, USA, and established in 1993, is a data management suite provider with a public valuation of $7.6 billion as of September 2024. The company has grown both organically and via acquisitions, for example, with its purchases of Compact Solutions and GreenBay Technologies in 2020 and Privitar in 2023 to enhance security and privacy. With 5,600 employees based all over the world, especially in the United States, EMEA and Latin America, Informatica serves more than 5,000 customers across a range of sectors. It integrates tightly with large partners such as AWS, Google Cloud, Azure, Databricks, Snowflake and Oracle.
Informatica’s flagship offering, Intelligent Data Management Cloud (IDMC), features a wide range of interoperable services, including data integration, API and application integration, data quality, master data management, customer and business 360 applications, data catalog, data marketplace, governance and privacy. Its CLAIRE AI service exemplifies Informatica’s commitment to leveraging AI for metadata intelligence and automation. These services extend a cloud-centric transformation that started in 2021.
The IDMC platform showcases capabilities such as search and discovery, data governance, regulatory compliance and data marketplaces. It provides a rich metadata model augmented by extensive connectivity including a broad set of connectors (e.g., to SAP systems). Recognized for its maturity, the data marketplace supports data products, contracts and sharing while optimizing the user interface for business user accessibility. Informatica’s comprehensive data governance suite includes data observability, quality analysis and policy management as well as advanced security and privacy features. Its Processing Units licensing model, while flexible, has received mixed reactions due to its quota-based structure.
Looking ahead, Informatica’s roadmap signals its continued transformation into a cloud service provider, maintaining a “Cloud First. Data Always” strategy. We should expect enhanced integrations with Teams and Slack. And the CLAIRE GPT copilot assists and guides various users with a conversational interface that reduces scripting requirements.
Strengths and challenges of Informatica Intelligent Data Management Cloud
BARC’s viewpoint on the product’s strengths and challenges.
Strengths
- Informatica has more resources than other data management tool vendors, enabling it to build or acquire cutting-edge technology at a higher scale. Its size also enables it to integrate at a deeper level with leading platforms such as Databricks, Snowflake and the cloud hyperscalers.
- As the industry’s broadest platform-independent provider of data management capabilities, Informatica continues to win business based on an installed base of users, existing customer relationships and bundle offerings.
- Across product lines, users express high satisfaction with Informatica‘s support and execute their projects quickly to capture greater business value compared with other vendors. They also rate Informatica’s data intelligence offering highly for its ecosystem integration.
Challenges
- Customers cite concerns about product complexity, price-performance and a lack of key functionality compared with industry alternatives. These findings suggest the CLAIRE GPT copilot does not yet deliver on its intended benefits.
- While Informatica’s data intelligence platform scores well for ecosystem support, nearly half of customers struggle with a lack of pipeline connectors to source and target systems.
- Across product lines, Informatica ranks lowest in its peer group for Customer Satisfaction.
Informatica Intelligent Data Management Cloud User Reviews & Experiences
The information contained in this section is based on user feedback and actual experience with Informatica Intelligent Data Management Cloud.
The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.
Why users buy Informatica Intelligent Data Management Cloud and what problems they have using it
- Get independent information on software solutions, market developments and trends in data, analytics, business intelligence, data science and corporate performance management.
- Make data & analytics decisions based on numbers, data, facts and expert knowledge
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Full user reviews and KPI results for Informatica Intelligent Data Management Cloud
All key figures for Informatica Intelligent Data Management Cloud at a glance.
- Get independent information on software solutions, market developments and trends in data, analytics, business intelligence, data science and corporate performance management.
- Make data & analytics decisions based on numbers, data, facts and expert knowledge
- Access to all premium articles and all our research, including all software comparison studies, scores and surveys.
- Unlimited access to the BARC media library
- Consume unlimited content anywhere
Individual user reviews for Informatica Intelligent Data Management Cloud
Number of employees
Industry
Source
What do you like best?
Alle Data Governance-Funktionalitäten, die für uns als Unternehmen wichtig sind in einer Plattform (Data Catalog, Business Glossary, Market Place).
What do you like least/what could be improved?
Data Marketplace-Komponente könnte flexibler in der Anpassung sein (z.B. adaptivere Workflows & Interfaces zu Access Provisioning, Adaptierung des UIs speziell per Content Type). Kaskadieren von Informationen & Beschreibungen auf Objekt & Attribut-Ebene im Enterprise Data Catalog, wenn es eine klare Lineage gibt (um nicht dieselben Informationen an mehreren Stellen manuell übertragen zu müssen).
What key advice would you give to other companies looking to introduce/use the product?
In der Planungsphase ein klares Zielbild zu haben: Was soll erreicht werden? Wer soll wie davon profitieren? Ist es eine Sammlung an allen Systemen und (Meta-) Daten in einem Repository? Ist es die Übersicht bzw. Data Lineage von Reporting Content im Unternehmen? Je nachdem ergeben sich unterschiedliche Schwerpunkte in der Implementierung (vor allem in den ersten Phasen).
How would you sum up your experience?
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Number of employees
Industry
Source
What do you like best?
Multiple services integration in one platform.
What do you like least/what could be improved?
Connectivity and cost.
What key advice would you give to other companies looking to introduce/use the product?
Best in the market.
How would you sum up your experience?
Used it for several years and very satisfied.
Number of employees
Industry
Source
What do you like best?
It's a single data platform with interconnected products, and it leverages this integration to provide better value.
What do you like least/what could be improved?
Complex pricing model.
What key advice would you give to other companies looking to introduce/use the product?
Only select the modules you'll actually use.
How would you sum up your experience?
One stop shop for all needs.
