Designed for Snowflake

Datameer helps teams enable self-service, unlock innovation and improve their analytics workflow.

  • Intuitive

    An intuitive drag-and-drop canvas interface that anyone can use

  • Visual

    Everything you build in Datameer is visual and easy to understand

  • Fast

    Datameer's user interface is lightweight and ultra responsive

  • Powerful

    Design and build complex workflows without the complexity of coding

  • Collaborative

    Features that make it easier for teams to consolidate their work in once place

  • Advanced Features

    Hundreds of transformation, integration and automation options

Success Story

Reliant Funding + Datameer

Ryan Goodman, VP of Analytics at Reliant Funding, sat down with us and shared his Snowflake + Datameer journey. “It’s cloud-first. Flip a switch, connect to Snowflake, and go!

The problems we solve

It’s a common problem – analytics is accessible to a small group of technical users. Datameer’s intuitive, but extremely powerful canvas interface empowers everyone in your organization to analyze data and unlock hidden insights.

Data requests tend to rely on small technical teams that have a hard time keeping up. Datameer speeds up the analytics workflow for technical teams and enables self-service for business users, which reduces the burden on your technical resources.

Data teams often need to modify or completely re-build their projects due to requirement changes or lack of early solution validation. With Datameer, users can validate their solutions faster. Data, lineage and documentation is updated in real-time, enabling you to test new ideas, prototype solutions, and validate results much faster.

Team’s do not have a firm grasp on what datasets already exist or whether an existing dataset can be trusted. It is often easier to re-build a project from scratch, than try to decipher older work. With Datameer, your work is visual and easy to understand by design. Datameer’s built in catalog indexes, enriches and auto-documents your work, making it more likely to be re-discovered and re-used.

Teams working with data have different skillsets and preferences. Anna may prefer No Code. Greg may prefer SQL. Steve may like mixing the two. Datameer supports all three.

It is common for Datameer to replace workflows for several existing tools. By empowering technical and business users, Datameer helps teams centralize their analytics in one place.

Some technology stacks move data out of Snowflake for preparation and analysis. Datameer is built to maximize your Cloud Data Warehouse investment by transforming, analyzing and storing the data where it lives. Everything in Datameer is powered by live queries to your Snowflake.

Teams lack a central place of truth for insights. Datameer provides auto-documentation, metadata enrichment and a built in catalog to help you centralize analytics in one place. With Datameer, you will never have to ask “Where did this data come from?” again.

Trusted by data teams to boost productivity

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.

Reliant funding logo
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.

skylar logo white
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.

Let's look at how to merge parameters or variables of stored procedure into another table in Snowflake.
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

Start your journey with Datameer