Customers with Successful Migrations
Why Migrate and Modernize Your Hadoop Data Lake with Dremio?
Hadoop is slow, costly, and time-consuming to manage. At one time, the advantages of Hadoop overcame these drawbacks and their hidden costs. But over the years many enterprises have found that Hadoop is cheap to provision and expensive to maintain. This impacts an organization’s ability to efficiently provide data access for end users.
Hadoop customers are now migrating to object storage, such as Amazon S3, and building their data lakehouse with Dremio for sub-second query performance, and a unified access layer for governed self-service analytics.
Sub-Second Query Performance and 10x Better Price / Performance
Dremio delivers sub-second queries to your dashboards that run directly on cloud data lake. Build interactive and ad-hoc queries without worrying about the underlying table structure.
Governed Self-Service Analytics
Often, due to Hadoop performance issues, IT locks down data access and only provides curated datasets to analysts through a separate data warehouse. The lack of self-serve access hurts business agility and time-to-insight while burdening engineering teams with mundane query and access requests. With Dremio, data consumers can use a modern user interface for self-service data curation and access. Easily govern data with fine-grained access controls and provide full visibility into your data with Dremio's data lineage capabilities.
Learn how Dremio secures your data with enterprise governance. ->
Unified View Across All Your Data
Most organizations have data spread across databases, data warehouses, and data lakes. Siloed data makes it difficult to provide business users with data access if there is never a single source of truth. Dremio federates queries across numerous cloud and on-premise data sources improving data access and agility. Build reliable data products and make metrics and business logic consistent across all your downstream apps.
Hadoop Migration to Dremio Customer Examples
Hungary’s OTP Bank Uses Dremio To Gain Insights Into Customer Needs and Increase Visibility Across the BankLearn more
Hadoop Migration and Modernization Resources
From Hadoop to Data Lakehouse: A Migration Playbook
A step-by-step playbook on how to migrate Hadoop to the data lakehouse with Dremio.Learn More
GNARLY DATA WAVES EPISODE
Getting Started with Hadoop Migration and Modernization
Learn more about migrating Hadoop to Dremio’s data lakehouse and see a live demo where we unify data across Hadoop, S3, and a PostgreSQL database for self-service analytics.Watch now
Apache Iceberg: An Architectural Look Under the Covers
Learn about Apache Iceberg and how it solved some of the shortcomings with Hive tables.Learn more