Diyotta and Snowflake Data Warehouse

Diyotta is a fast, effective and intuitive tool to migrate data from current repositories (RDBMS, files or data warehouses) into your Snowflake instance.

The Solution

Diyotta addresses the challenges below and provides an easy, drag & drop interface to quickly and efficiently build the data pipelines without any technical knowledge on SnowSQL. Additionally, you can convert the existing stored procs or scripts into metadata driven processes that can run in a set-based manner on Snowflake using Diyotta.
Historical data migration from On-Premise systems
Source data from SaaS applications
Perform transformations using Snowflake’s processing power (ELT on Snowflake)
Provision data from Snowflake for analytics or downstream applications
Orchestrate data movement and transformations across data flows
Historical data migration from On-Premise systems
Source data from SaaS applications
Perform transformations using Snowflake’s processing power (ELT on Snowflake)
Provision data from Snowflake for analytics or downstream applications
Orchestrate data movement and transformations across data flows

Diyotta Components

Easy to use, drag & drop interface to quickly and efficiently build data pipelines.
Transfer to target agent where data needs to be loaded.
Receive data at the Agent, decompress, un-encrypt.

Data Orchestration with Snowflake

Easily orchestrate data movement and transformations across data flows.
Logical data flow across the firewalls.

Data Processing on Snowflake

Complete orchestration of transformations with SET based processing instructions – no row by row processing.
Native F(x) Library & Native Code Generation.
Native platform optimized Instructions.

Data Processing on Snowflake

  • Complete orchestration of transformations with SET based processing instructions – no row by row processing
  • Native F(x) Library & Native Code Generation
  • Native platform optimized Instructions