Sold by: Cloudera
Metadata Management and Automated Data Lineage Platform
4.2
Overview
Data Lineage Made Easy
Cloudera Data Lineage simplifies data management with an AI-powered metadata platform that provides clear insights into data flow, making it easier to understand, trust, and manage your data.
With quick setup in under an hour, Cloudera Data Lineage automates metadata harvesting across complex hybrid ecosystems, saving time on tasks like debugging, data analysis, and troubleshooting. It helps reduce full-time equivalent hours spent on ad-hoc analysis, vendor management, and system issues.
Beyond immediate efficiency gains, Cloudera Data Lineage accelerates strategic initiatives like cloud migrations, data literacy, and risk management. It offers real-time insights into data lineage, helping track changes and flow across systems; from databases and pipelines to BI tools and ML models.
Key features include: Cross-platform metadata support with more than 50 technologies Upstream and downstream impact analysis to evaluate the ripple effects of data changes Entity-relationship exploration and data transformation lifecycle insights for in-depth understanding End-to-end asset lineage tracking for compliance, optimization, and root cause analysis Automated data discovery and technical documentation to streamline data management and decision-making
Cloudera Data Lineage supports self-service, data democratization, cloud transformations, and the reduction of technical debt, all while empowering teams with reliable, real-time data insights.
Highlights
- Our Automated Metadata Harvesting Agent provides a centralized metadata knowledge hub that empowers effective data governance, ensures regulatory compliance, and enhances data quality and control. It also supports digital transformation efforts and helps organizations prepare for AI readiness.
- Cloudera Data Lineage brings the world of Generative AI to data management, with Octomize, the AI automation agent built for data teams. Octomize empowers data teams with a real-time, unified workspace that automates, optimizes, and interprets scripts while providing immediate insights into data lineage and empowers data users to easily create business and technical documentation and debug and fix data errors in the Cloudera Data Lineage platform.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Octopai | Tiered-based, 5 connectors, 10 Lineage users, 25 Catalog viewers | $100,000.00 |
Dimension | Cost/unit |
|---|---|
Additional connectors, users or viewers | $0.01 |
Vendor refund policy
No refunds available
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
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Customer reviews
Tamado S.
Powerful Hybrid Big Data Platform, Though the UI and Pricing Could Improve
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
What I value most is having access to a stable, up-to-date big data stack that I can run on premises. I also like the flexibility to deploy the platform on premises, in a public cloud, or in a hybrid setup—whatever best fits the environment.
Cloudera data services, in particular, feels like a game changer. It enables users to quickly deploy warehouses, run data engineering jobs, build end-to-end machine learning pipelines, deploy ML models as API/web applications, and roll out LLMs as inference services for enterprise AI. On top of that, Cloudera support has been very helpful and generally responds quickly.
Cloudera is also easy to integrate with our customers existing stack, whether BI tools like Qlik and Tableau, or ETL like Talend and IBM DataStage. It's easy to setup connections from Hive/Impala to Talend for ETL purpose, and then connect them also to Qlik for dashboards.
Cloudera data services, in particular, feels like a game changer. It enables users to quickly deploy warehouses, run data engineering jobs, build end-to-end machine learning pipelines, deploy ML models as API/web applications, and roll out LLMs as inference services for enterprise AI. On top of that, Cloudera support has been very helpful and generally responds quickly.
Cloudera is also easy to integrate with our customers existing stack, whether BI tools like Qlik and Tableau, or ETL like Talend and IBM DataStage. It's easy to setup connections from Hive/Impala to Talend for ETL purpose, and then connect them also to Qlik for dashboards.
What do you dislike about the product?
The UI can feel a bit clunky at times and doesn’t come across as very modern. Also, because it’s geared toward stability, integrating some cutting-edge tools with the Cloudera stack can be quite difficult. On top of that, a few of our customers have mentioned that the pricing feels on the higher side compared with competitors.
What problems is the product solving and how is that benefiting you?
We help implement Cloudera for data warehouse migration and modernization, big data initiatives, and Generative AI initiatives. For data warehouse modernization and big data initiatives, our customers benefit from a modern data lakehouse stack, improved performance, and reduced data silos by creating a single source of truth on top of Cloudera. With Cloudera data services, our customers can explore data faster and run ad-hoc reports more easily, powered by Cloudera Data Explorer and Impala on top of virtual warehouses. Cloudera AI also helps our customers get started with their Generative AI use cases, enabling them to quickly create LLM-powered apps without needing to manually set up infrastructure and security.
Arun M.
Great, Innovative Solution
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
Great platform for hosting my tech ecosystem and AI solutions
What do you dislike about the product?
More capabilities on cloud since most of my data is on cloud
What problems is the product solving and how is that benefiting you?
Great platform to host my systems
Banking
Versatile All-in-One Platform, but the Interface and Load Times Need Work
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
one platform served anything essentials in data engineering
What do you dislike about the product?
interface less user friendly, long loading time
What problems is the product solving and how is that benefiting you?
big data processing
Tushar G.
Cloudera: A Next-Gen Data, Cloud, and AI Platform That Works Anywhere
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
Cloudera is a next-generation platform for data, cloud, and AI solutions that work anywhere.
What do you dislike about the product?
Nothing specific to point out—everything is great.
What problems is the product solving and how is that benefiting you?
Big data platform. It provides a centrally governed foundation for key banking workloads.
Banking
All-in-One Data Engineering and ML Ecosystem
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how it provides an all-in-one ecosystem for data engineering and machine learning
What do you dislike about the product?
Setting up and running the ecosystem is notoriously heavy, especially if you are deploying on-premises.
What problems is the product solving and how is that benefiting you?
Cloudera is primarily designed to eliminate the friction, security risks, and high costs associated with managing fragmented, large-scale data ecosystems across multi-cloud and on-premises environments.