Cloud Data Warehousing
Introducing the perfect partner for the modern data warehouse
Your cloud data warehouse is only as good as your integration.
Consolidate on-premises and cloud apps and data, easily. Empower citizen integrators, visually. Realize your data warehouse vision, faster.
Redshift. Azure SQL. Snowflake. We’ve Got You Covered.
Whether you’re using Redshift, Azure SQL Data Warehouse, Azure SQL Database, Azure Data Lake store, Oracle Database Cloud Service, or Snowflake, we make loading, scheduling, and maintaining data simple. SnapLogic Snaplex nodes even run on Microsoft Azure or Amazon Web Services for maximum elasticity.
Data marts, Apps, and Databases. Consolidated
Your cloud data warehouse thrives on data. Why hold it back? With over 400 pre-configured Snaps, rapidly connect to cloud and on-premises apps, relational, NoSQL databases, Hadoop. and unstructured sources. Populating your data warehouse just got easier.
8 Reasons Why Your Legacy Data Integration Plan Must Change
Enterprise Scale Data Warehousing. Simplified.
Created by the innovators behind the original data warehouse movement, SnapLogic’s scheduled batch, event-driven, and continuous streaming ensures data integration pattern flexibility. No-code support for slowly changing dimensions, database lookups, sophisticated data operations, and petabyte scale.
Jump-Start Your Cloud Data Warehouse
Migrate Faster. Boost Integrator Productivity 5X.
Data warehouses are on the move to the cloud. But traditional ETL isn’t designed for this new era. It’s too IT-centric and hard to use. SnapLogic’s web-based click-not-code integration assembly, AI-assisted self-service, and hundreds of ready-made Snaps empower citizen integrators and speed migrations.
Analytics Success. Governed and Accelerated.
Whether running Tableau, PowerBI, Anaplan, or other analytics and modeling tools, SnapLogic can help cut reliance on spreadsheets, CSVs, and one-off extracts. Stand up a cloud data warehouse faster to enable governance and centralization, or even use our Snaps to load their stores directly.
“We’re scaling to enormous data volumes, analyzing more than 100 million records in a recent integration.Instead of taking five to six hours to push 150,000 records to an external endpoint, we were able to push three times that volume of information to the external endpoint in about two minutes.”
Alan Leung, Box, Sr. Manager, Data Strategy and Architecture