The No-Code Trifacta Alternative
Avoid endless spreadsheets, Use Datameer to access Snowflake data with no code and create reliable datasets
Based on reviews from:
Why Datameer is a Better Alternative to Trifacta
For Coders and Non-Coders
✔️ Both a SQL and No-code interface.
✔️ Data engineering and business analytics teams can work together.
✔️ Get models defined right the first time.
Discovery and Exploration
✔️ Easily find and explore data models and datasets
✔️ Determine the best fit for their projects
✔️ Reused datasets to speed projects and ensure consistency.
Full Snowflake Integration
✔️ All data transformations happen within Snowflake
✔️ Centralized security and governance.
Why You Should Work with Your Data in Datameer
Datameer combines power, ease of use, and collaboration to provide a rich data modeling and transformation your entire team can use (data engineers, data analysts, and data scientists) and allow them to work together for faster analytics cycles and lower data engineering costs.
Trifacta was designed as a single user or small team product for data analysts to transform data. As opposed to Datameer’s collaboration and integrated data catalog documentation, Trifacta forces users to work individually and has very limited data documentation and attributes.
Datameer vs. Trifacta
An in-depth analysis of how Datameer’s robust features fair against Trifacta
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| 100% SaaS |
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| Multi-persona tools |
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| Mix and match SQL and no-code data models |
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| Execution of data workflows in Snowflake |
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| Integration with Snowflake security and governance |
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| Collaborative processes and shared workspaces |
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| Rich, catalog-like data documentation |
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See What Our Customers Say About Us
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
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.
Albert Kao, CEO & Co-Founder, i-50
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
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
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
Analytic cycle times covering the bank’s numerous marketing campaigns were reduced from five days to five hours. Thanks Datameer!
Attila Bayrak, Chief Analytics Officer, Akbank