Activating Analytics for Snowflake

Empowering teams to create and view real-time Snowflake insights.

The Datameer Story

From 2002

Datameer was founded in November 2009 by a small team of eight members implementing custom Hadoop big data analytics solutions for Fortune 500 companies. Datameer was born as the first-ever self-service big data analytics company purpose-built for Hadoop.

To Now

As the world migrated into the cloud, Datameer did the same. Manage your data in the Cloud and turn it into useful insights. Datameer’s new SaaS product helps everyday analysts get their most important questions answered fast by exploring, visualizing, and cataloging data.

Better Data Discovery. Faster Decisions.

We’re passionate about helping companies harness their data to transform the way they analyze, interpret and act on that information. Our passion drives us to build solutions that make it easier than ever to bring people, data, and systems together.

Dependable Products

Datameer has been proudly serving the data community for 13 years

Catering to all Industries

Energy, Financial Services, Healthcare, Telecom, Travel, Retail

Snowflake SELECT Partner

Purpose built for Snowflake, and an approved Snowflake partner

Testimonials

Datameer is great for SQL power users. It allows me to take operations that would otherwise be complex and time-consuming to write and compose them in a straightforward, step-by-step format where I can quickly and easily see the underlying SQL and preview output data along the way.

Tim Nolan, Head of Technology, Skylar

We centralize our data in Snowflake and use Datameer to build the data models needed to support the various analytics projects across the organization directly in Snowflake. Historically, these models were built using lots of SQL code taking months to develop and roll out. Compared to other data transformation tools, Datameer’s intuitive, in-Snowflake, no-code solution enables my teams to publish ready-to-use data in hours.

Ryan Goodman, Vice President of Analytics, Reliant Funding

There are incredibly powerful things we can do within Datameer that allow the end-user analysts to really control what they are getting out of the data.

Tim Midwinter, Data Architect, BT Openreach

The Datameer platform was a godsend. I was looking at hiring a team of data engineers to hand-code all our data pipelines in Python. In a week, we were able to complete all those complex ETL jobs with Datameer, which otherwise would have required a dozen data engineers to develop and maintain.

Albert Kao, CEO & Co-Founder, i-50

Analytic cycle times covering the bank’s numerous marketing campaigns were reduced from five days to five hours. Thanks Datameer!

Attila Bayrak, Chief Analytics Officer, Akbank

One of the challenges and opportunities with the Internet of things is that there has been an explosion of stream data. Instead of having one row per customer, there may be thousands or millions of rows per customer. With its intuitive Excel-like user interface, Datameer made it extremely easy for my team to get up and running very quickly.