Upcoming Webinar: Snowflake Native Data Transformation for AnalyticsJoin us July 12th
Focus on discovering new insights.
Scan and maintain a catalog of Snowflake datasets and your team’s work
Transform data in an easy to understand, but extremely powerful, canvas interface
Materialize models in Snowflake for easy integration and downstream consumption
Deploy production pipelines directly from Datameer or through integration with dbt
A collaborative environment for teams using SQL and No Code to explore, transform, and publish new models for reporting, analytics and ML
Datameer covers your entire data life cycle journey from discovery, data curation, deployment,and catagloging of data insights all within Snowflake via a direct live connection.
Enable responsible self service with automated documentation, metadata enrichment and build in semantic layer.
Documentation and lineage are maintained by Datameer during the entire lifecycle of your project.
Your teams important work is cataloged to promote shared understanding and trust.
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.learn more
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.learn more
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.learn more
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.learn more
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.learn more
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.learn more
Deep dive into Datameer data essentials about transformation, discovery, governance, and data pipelines.
The first building block of a cloud data stack starts with Snowflake. Your analytics engine and cloud data warehouse is always the core component by which your data stack revolves.Read the White Paper