There is nothing easier than connecting your data from different sources to one source and avoid complicated tasks of preparing data and setting up complex ETL processes. This layer ensures a hassle free process of connecting with source connectors like S3, Blob, Salesforce, Marketo, Shopify, Oracle and more.

This is the brain of Lyftrondata and functions to federate the data by building data lake, data replication, data warehouse, data sharing and semantic model. Besides, it ensures smooth coordination between the source and compute layer.

This functions for optimized process and better load performance with push down on inbuilt Spark, AWS EMR, Azure HD Insights, Databricks, Snowflake and more. It is meant to process voluminous data effectively and effeciently at the lightning speed.

Under the covers of compute layer, Lyftrondata possesses metadata which works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan and more.

Considered as the heart of Lyftrondata, this layer handles one of the most crucials functions of enforcing security and encrypts key management. This functions for encryption, tagging, masking, access rights and role management.

The innermost shell provides data access from lyftrondata to targets like on-premise and cloud data warehouses, database, BI and ML. Ensure smooth and risk free data migration from lyftrondata to Snowflake, Redshift, Azure Sql Data Warehouse, Looker, Tableau, Power BI and more.