Lyftron eliminates traditional ETL/ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake.
Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.
1. Your Agile,
Modern Data
Delivery Hub
Has Arrived
USE CASES WE SOLVE
Create data pipelines in minutes
Shorten time to insights
Enhanced security built for the cloud
Data lineage and replication
Query any data with ANSI SQL
Lyftron eliminates the time spent by engineers building data
pipelines manually - and make data instantly accessible to
analysts by providing real-time access to all your data with simple
ANSI SQL.
Lyftron prebuilt connectors automatically deliver data to
warehouses in normalized, ready-to-query schemas and provide
full search on data catalog.
WHY LYFTRON
Data warehouse modernization
Modern data catalog
Hybrid cloud management
LYFTRON SUPPORTS 100+ MODERN
CONNECTORS
2. ETL/ELT BOTTLENECKS GUIDED
BY THESE USE CASES
A TRANSFORMATIONAL STEP TO TRADITIONAL
Cloud Migration
Lyftron
Cloud
BI Tools
Self-service data
management users
On-premise
Cloud data warehouse:
Snowflake, Bigquery,
Redshift, Azure PDW
Lyftron
A cloud data warehouse is
connected and data migrated
step by step
Universal Data Model
3. HEADACHES UTILIZING THESE USE CASES
INSTANT BI WITH ZERO ETL/ELT
Governed Data Lake Analytics
Data Sourcing for SaaS BI tools
Cloud
Saas BI tools
Self-service data
management users
On-premise
Cloud data warehouse:
SQL Azure DW, Hadoop,
Spark, Amazon RedShift
CACHE
Lyftron
SaaS BI tools are connected to
both on-premise and cloud data
sources in one place
BI tools
Data Lake
Data model
managed by
BI usersLyftron
Data Lake is connected to
Lyftron as a data source.
The data model for
analytics is based on views