Analytics is limited to a small group of users
Teams are unable to keep up with ad-hoc data questions
Re-work due to requirement changes and lack of early validation
Same analysis is done multiple times and in multiple places
Team members use different methods to analyze data
It takes several tools to answer data questions
Existing tools are moving data out of Snowflake
There is no central place of truth for insights
Datameer’s power comes from an intuitive canvas interface that is used to explore, build and share Snowflake data
Anna prefers a visual interface. Greg prefers SQL. Steve likes to mix-and-match. Datameer supports all three.
The best features from Data Exploration, Preparation, Reporting and Cataloging combined in one tool.
A seamless experience navigating between exploration, data pipelining and reporting enables your team to validate new ideas quickly. The result is a much faster development cycle, that’s less prone to re-work.
Your team’s work is documented and categorized. Know what’s important. Archive what’s not. A self-organizing catalog your team will love.
Just connect to Snowflake and go!
We're obsessed with providing an amazing UX
We take care of hosting and upgrades
New features released weekly
Live support and help with use cases
User experience is optimized for a Snowflake cloud stack
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
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
Snowflake and Datameer’s partnership can help joint customers in retail and eCommerce reimagine what’s possible with data, helping them govern and share data seamlessly to deliver personalized customer experiences, optimize supply chains, and make data-driven merchandising decisions.
Rosemary Hua, Global Retail and CPG Industry GTM lead , Snowflake
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.
Brandon Bunker, VP, Video and Computer Vision, Vivint
Only Datameer could provide us with a product that offered a very fast no-code and low-code environment and could meet the needs of our extremely complex data pipelines and DataOps.
Rahim Jivani, AVP of BI, Morningstar
Our SQL solution did not scale well with the growing volume of data we were getting, and it was becoming costly to maintain. The bigger the database got, the slower the queries became. Not only did Datameer solve that query performance and scalability issue, but it also managed to make it super easy for our researchers and analysts to use without having to write any code.
Dmitry Samosseiko, Director of Threat Research, Sophos
Webinar Event: Virtual Hands-On Lab – Get hands-on with Analytics for SnowflakeJoin us Oct 5th