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.
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.
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.
Datameer has been proudly serving the data community for 13 years
Energy, Financial Services, Healthcare, Telecom, Travel, Retail
Purpose built for Snowflake, and an approved Snowflake partner
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.
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.
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.
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.
Analytic cycle times covering the bank’s numerous marketing campaigns were reduced from five days to five hours. Thanks Datameer!
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.
Chief Executive Officer
Vice President of Innovation
Chief Technology Officer
Head of People
Vice President of Sales