Explore Data and Build Models in Snowflake
Transform data using SQL, No Code, or both. Discover insights in minutes, not months.
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Explore and Transform Datasets
Focus on discovering new insights.
Explore Datasets
Scan and maintain a catalog of Snowflake datasets and your team’s work
Prepare and Enrich
Transform data in an easy to understand, but extremely powerful, canvas interface
Publish Models
Materialize models in Snowflake for easy integration and downstream consumption
Deploy Pipelines
Deploy production pipelines directly from Datameer or through integration with dbt
Designed for Hybrid Teams
A collaborative environment for teams using SQL and No Code to explore, transform, and publish new models for reporting, analytics and ML
Architected to Fit Your Modern Data Stack
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.
Deploy Trusted Data
Enable responsible self service with automated documentation, metadata enrichment and build in semantic layer.
Auto Documentation
Documentation and lineage are maintained by Datameer during the entire lifecycle of your project.
Build-in Catalog
Your teams important work is cataloged to promote shared understanding and trust.
Industry Solutions
What Our Customers Say
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.
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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.
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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.
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.
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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.
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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 moreBooks, Guides & Resources
Deep dive into Datameer data essentials about transformation, discovery, governance, and data pipelines.
How to Optimize Your Data Transformations for S...
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
What is a Data Transformation SaaS Solution?
Data Transformation as a Service is an emerging solution model that provides a faster, easier way to perform data and analytics engineering and, as a result, delivers greater ROI on your cloud data...
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How to Accelerate BI Adoption on Snowflake
Have you spent long evenings and weekends building your data warehouse in Snowflake but are still struggling to get the rest of the organization to adopt it? Here is a sure way to get wider busines...
Read the White Paper