Experience enterprise-grade reliability, stability, and security

Nothing beats connecting data from multiple sources to a single source and avoiding the time-consuming tasks of data preparation and complex ETL processes. This layer ensures a smooth connection with source connectors such as S3, Blob, Salesforce, Marketo, Shopify, Oracle, and others.

Lyftrondata's layer automates labor-intensive data engineering work. Using a visual interface and SQL, users could easily build data pipelines in a matter of minutes.

This layer is in charge of securely and effectively storing data. It provides the most up-to-date data sets and allows users to combine them with their existing data for the most in-depth insights.

This function optimizes processes and improves load performance by pushing down on built-in Spark, AWS EMR, and Azure HD Insights. It is designed to process large amounts of data quickly and efficiently

Lyftrondata's metadata works to improve overall performance capacity under the covers of the compute layer. This layer is responsible for the scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan, and other features.

This layer, considered the heart of Lyftrondata, handles one of the most critical functions of enforcing security and encrypting key management. This performs encryption, tagging, masking, access rights management, and role management.

This innermost layer enables users to analyze, visualize, and explore massive amounts of data from disparate data sources, allowing them to make real-time business decisions.