Top Snowflake Alteryx Alternative

Datameer is a powerful SaaS data transformation platform that runs in Snowflake – your modern, scalable cloud data warehouse – that combines to provide a highly scalable and flexible environment to transform your data into meaningful analytics.

With Datameer, you can:

• Allow your non-technical analytics team members to work with your complex data without the need to write code using Datameer’s no-code and low-code data transformation interfaces,
• Collaborate amongst technical and non-technical team members to build data models and the data transformation flows to fulfill these models, each using their skills and knowledge
• Fully enrich analytics datasets to add even more flavor to your analysis using the diverse array of graphical formulas and functions,
• Generate rich documentation and add user-supplied attributes, comments, tags, and more to share searchable knowledge about your data across the entire analytics community,
• Use the catalog-like documentation features to crowd-source your data governance processes for greater data democratization and data literacy,
• Maintain full audit trails of how data is transformed and used by the community to further enable your governance and compliance processes,
• Deploy and execute data transformation models directly in Snowflake to gain the scalability your need over your large volumes of data while keeping compute and storage costs low.

Alteryx’s purpose is to make BI teams far more productive by spending less time preparing data and investing more time analyzing data within their own tools or 3rd party tools such as Tableau.

Alteryx is too complex to use for the average analyst.  The user experience and interface make it difficult to define data preparation flows.

The traditional Alteryx products only exist as an on-premise, desktop tool.  The company’s “Designer Cloud” is still in limited availability a full year after it was announced leaving potential buyers with no cloud or SaaS solutions.  The on-premise, desktop, and departmental use can create more data silos, will create governance problems, and makes it difficult to see and understand data transformation workflows.

Alteryx recently announced that it was acquiring Trifacta, a competitor, and would merge the product families.  The main reasons for the acquisition were to “buy” a customer base and use Trifacta’s engineering talent to bolster their failing cloud and SaaS offerings.   Even with the engineering talent from Trifacta, transitioning the Alteryx products to the cloud will still be complex and potentially fraught with many problems.

Datameer’s data transformation and modeling features, similar to those needed for data preparation, help model and sharpen data for analysis – for example, blends, filters, enrichment, and other forms of transformation. Alteryx builds the data and creates executable pipelines to fill with data. You can see where there is some common ground between the two offerings. However, there are major differences between the two offerings: