Tomer Shiran is the CPO and founder of Dremio. Prior to Dremio, he was VP Product and employee #5 at MapR, where he was responsible for product strategy, roadmap, and new feature development. As a member of the executive team, Tomer helped grow the company from five employees to over 300 employees and 700 enterprise customers. Prior to MapR, Tomer held numerous product management and engineering positions at Microsoft and IBM Research. He holds a master’s degree in electrical and computer engineering from Carnegie Mellon University and a bachelor’s in computer science from Technion – Israel Institute of Technology, as well as five U.S. patents.
Breakthrough Performance: Dremio Sets New Standard—20x Faster Than Any Other Lakehouse In recent days, we’ve seen growing industry attention on query performance—most recently with Databricks announcing a 25% improvement. At Dremio, we’ve taken a fundamentally different approach—one that delivers a step-function leap in speed and efficiency. Today, we’re excited to share a breakthrough that reflects […]
Transcript Note: This transcript was created using speech recognition software. While it has been reviewed by human transcribers, it may contain errors. Introduction Alex Merced: And with no further ado, let’s get on to our feature presentation. We’re going to be talking about building the next-generation data platform for the supply chain with Dremio’s data […]
Learn how Mearsk is building the next generation data platform for unified analytics on Dremio’s Open Data Lakehouse
In today’s data-driven world, organizations are constantly seeking innovative tools and technologies to harness the power of their data. At Dremio, we are empowering businesses with cutting-edge data exploration, analysis, and discovery capabilities. Our recent announcement of integrating generative AI into our platform marks a significant milestone in our commitment to delivering advanced data solutions. […]
Dremio Founder and CPO Tomer Shiran on the vision behind the Dremio Cloud platform.
Dremio Founder and CPO Tomer Shiran on the vision behind the Dremio Cloud platform.
Today we’re announcing our $160M Series E fundraising round, just one year after our Series D announcement last January. Given we have barely dipped into the funds from our last raise, why raise again so soon? The answer really comes down to momentum and pursuit of serving customers in a very big market. Since shipping […]
At AWS re:Invent 2022, Dremio Co-Founder and Chief Product Officer Tomer Shiran explains how to make Amazon S3 your data warehouse with Dremio Cloud.
Read this blog to learn about three major trends that have emerged in the world of data and analytics that IT leaders are actively working on today.
Today we announced the limited availability of Dremio Cloud, a SQL Lakehouse Platform that makes cloud data lakes easier than ever. The launch of Dremio Cloud is the culmination of hundreds of engineering years, and here are 10 reasons why I’m so excited
The openness of the cloud data lake/lakehouse is a key advantage over the data warehouse, and vendors like Snowflake are feeling the pressure.
Five major trends will emerge in the new year that bring compelling reasons to make modern cloud data lakes the center of gravity for data architectures.
Surrendering data to a data warehouse creates big challenges— locking you into an expensive and proprietary platform and locking you out of innovations from other vendors and the open source community. It’s time to think about an open, modern data architecture based on a cloud data lake.
It’s 2020, and almost every organization is facing a paradox. On one hand, data is an integral part of the business, and analytics has become a strategic priority – a “must-have.”
Cloud data lakes are much more scalable and cost-efficient than data warehouses, but to become pervasive and applicable to both technical and non-technical users, new approaches are required.
Welcoming Billy Bosworth as Dremio’s new CEO.
ODBC and JDBC were invented 27 years ago, Apache arrow arrived to bring the best-in-class performance in the big data world.
