Lyftrondata enables enterprises to load data from 300+ connectors to Google Bigquery in minutes without any engineering requirements. Simply connect, organize, centralize and share your data on Bigquery with zero code data pipeline, ETL & ELT tool.
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Best Bigquery ETL Tool
1. Make intelligent business decisions by transforming years of
data in seconds
Simple, codeless and automated Google Bigquery data
pipeline, data mesh and data governance platform
Solution Brief
Cost-Effective
Licensing Model
High Performance
& Robust Security
Simple Interface –
No Coding Needed
Democratize data
with ANSI SQL
Data Governance Data Lineage API Data Mesh Built in Apache Spark
& Airflow
Data Virtualization
& Mesh
Data Catalog
Data Warehouse
Data Pipeline
2. GUIDED BY THESE USE CASES
A TRANSFORMATIONAL STEP FOR CLOUD MIGRATION
Risk-Free & Faster BigQuery Migration
Cloud
BI Tools
Self-service data
management users
Phase Migration
Lyft & Shift Migration
On-premise
BigQuery Cloud
data warehouse
Lyftrondata
Lyftrondata supports Lyft, Shift and Phase migration
approaches which enables enterprises to migrate from
legacy platforms to BigQuery with ease and also allows
to point existing database connection to Lyftrondata
so, Lyftrondata act as a intermediate layer until the
migration is fully complete.
Cloud
Universal Data Model
BigQuery Cloud Data
Warehouse
Lyftrondata Modern Datamesh
Traditional Data Sources
Eliminating Traditional ETL/ELT & EDW Bottlenecks
Lyftrondata + BigQuery Agile, Modern Data Delivery Platform
Traditional ETL/ELT Approach the Bottleneck
The Evolution of Modern Data Mesh & Logical Data Warehouse
The very core of data management is rapidly evolving because the speed and volume of data is growing faster than
current technology can keep up with. Traditional methods utilizing obsolete ETL, ELT and building Legacy data ware-
houses is far too expensive and is overly complicated that requires more time and effort to build the solutions much less
support them! As a result we are seeing many companies missing their SLA's instead of using modern day solutions that
don't have those problems!
Easier Modification
Higher Performance
Modern Cloud Compute
Zero Latency
No ETL/ELT programing is required
90% Faster to implement
Solution Brief
3. HEADACHES UTILIZING THESE USE CASES
INSTANT BI WITH ZERO ETL/ELT
Governed Data Lake
Cloud
On-premise Legacy Platform
On-premise
BI tools
Data Lake
Universal data model
managed by BI users
Lyftrondata
BigQuery Cloud
Data Warehouse
BigQuery Cloud Data Warehouse
Lyftrondata Modern Datamesh
Traditional Data Sources
Hybrid Cloud Management
Cloud
Saas BI tools
Self-service data
management users
On-premise
BigQuery Cloud
data warehouse
CACHE
Lyftrondata
Lyftrondata enables sync between
multiple regions of cloud databases,
on premise database on Lyftrondata
cluster so, SaaS BI tools are connected
to both on-premise and cloud data
sources in one place
RDS on AWS, GCP & Azure
BigQuery Cloud Data Warehouse
Lyftrondata Modern Datamesh
Traditional Data Sources
Lyftrondata supports governed data lake which will
act as an anti corruption layer & allows nested
tagging by resource groups, type of data and depart-
ments. Existing data lake is connected and Lyftron
enables the tags at field, table, database levels so,
enterprise can have a full control on their data
catalog and do the search with ease.
Solution Brief