GNARLY DATA WAVES EPISODE
Overview of Dremio’s Data Lakehouse
On our 1st episode of Gnarly Data Waves, Read Maloney provides an Overview of Getting Started with Dremio's Data Lakehouse and showcase Dremio Use Cases advantages.
Watch now (27 min)
Early Release on O’Reilly Book
Apache Iceberg: The Definitive Guide
Data Lakehouse Functionality, Performance and Scalability on the Data Lake. Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse.
Trusted by Many Forward-Looking Organizations
Find out why customers choose Dremio
Self–Service Analytics
Unified data access, modern and intuitive U/I, semantic layer, and built for SQL.
Open Data, No Lock-In
Based on community-driven standards, including Apache Arrow, Apache Iceberg and Apache Parquet.
Sub-Second Performance at 1/10th the Cost
Lightning-fast queries, high concurrency, and no expensive data copies to manage.
Products that improve self-service, performance,
and governance.
Dremio Sonar
A SQL query engine with a built-in semantic layer and intuitive user interface. With Dremio Sonar, organizations can quickly access the data they need, query across data sources, create views, and update Apache Iceberg tables with data manipulation language (DML).
Check Out Dremio Sonar Query Engine
Arctic Demo
6 min
Dremio Arctic (Preview)
A data lakehouse management service that enables data teams to manage data-as-code with Git-like operations, optimizes tables automatically, and provides a data catalog. Dremio Arctic makes it easier for data teams to provide improved governance, data quality, and query performance. With Dremio Arctic, data teams can select their query engine of choice.
Check Out Dremio ArcticUse Cases for Dremio’s Data Lakehouse
Data Mesh
Provide self-service to the business by unifying data sources, rapidly creating data products for each domain, and ensuring governance across the entire architecture.
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Hadoop Migration to the Cloud
Move from HDFS to cloud object storage, such as Amazon S3, and replace Hive, Impala and other legacy query engines with Dremio to turn your data lake into a high performance data lakehouse.
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Departmental Data Lakehouses
Departments such as marketing, trading, and supply chain require high scale, high performance, and self-service for the business. Dremio’s open data lakehouse is the ideal fit for data driven departments.
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Eliminate Redundant Data Warehouses and Databases
In many architectures, data ingested into a data lake is then copied into a database or data warehouse to provide improved performance as well as security and governance controls. With Dremio’s data lakehouse, customers can remove these systems and deliver governance and high performance, directly on the data lake.
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Build New Analytic Applications
Dremio’s performance allows engineers to treat their data lake + Dremio as a database for analytical applications and application components. Engineers can use Apache Superset for customer dashboards or other development tools to build directly on top of Dremio.
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Data Lakehouse Ecosystem thatsupports organizations of any size
Dremio partners with hundreds of leading data storage, BI tool, and ETL vendors to provide a comprehensive set of functionality for organizations of any size.
Customer success
Dremio helps organizations become more data driven with self-service analytics and more efficient by offloading use cases from expensive and proprietary data warehouses to our open data lakehouse. Dremio exceeds the performance and scale requirements of the most demanding and largest enterprises in the world, including 5 of the Fortune 10.
"Dremio bridges the data warehouse and the data lake, enabling NCR to derive more value between the two data sources."
"With Dremio, we are able to reach the source of truth of the data for analytical access, without data replication. This is a crucial aspect for us…We are among the first companies with this dimension and complexity to implement a data mesh architecture. Agile Lab and Dremio have been important for us to reach these results."
More resources
WHITEPAPER
The Definitive Guide to the SQL Data Lakehouse
A SQL data lakehouse uses SQL commands to query cloud data lake storage, simplifying data access and governance for both BI and data science.
Learn more
WHITEPAPER
A New Paradigm for Managing Data
Open data lakehouse architectures speed insights and deliver self-service analytics capabilities.
Learn moreReady to get started?
Dremio Test Drive
Experience Dremio with sample data
The simplest way to try out Dremio.
Dremio Cloud
Open & fully-managed data lakehouse
Best option if your data is on AWS.
Dremio Software
Software for any environment
Self-managed software for data in Azure, GCP and on-premises.
