Lyftrondata Participating at
Snowflake Summit
Come and join Lyftrondata at Snowflake summit this summer and learn about our modern data hub platform that eliminates traditional ETL /ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user at booth #S18. Let’s connect & collaborate from June 3-6 and be a part of innovation.
Stream & load data to Snowflake in minutes
Lyftrondata Pipeline manages connections to data sources and loads data to Snowflake. All transformations are defined in standard SQL and pushed down to data sources and Snowflake.

Automatically Manage Tables
Lyftrondata creates target tables in Snowflake and picks the right data types.

Transform with SQL
Transform or filter the data using SQL that is pushed down to Snowflake. Enable a true Extract-Load-Transform to avoid extra data copies.

Prototype Data Sets
Avoid needless delay in data preparation. Define virtual data sets on source data. Verify and load to Snowflake when required.
What's Lyftrondata
Lyftrondata is a modern data platform that provides real-time access to any data and enabling users to query them with simple ANSI SQL. With Lyftrondata enterprises can build data pipeline in minutes and shorten the time to insights by 75% with the power of modern cloud compute of Snowflake and Spark.
Make better and quicker data migration decision
Lyftrondata and Snowflake
Lyftrondata enables realtime streaming and bulk loading on Snowflake & accelerate data movement with the power of Spark compute. Lyftrondata platform accelerate Snowflake migration from Google, Facebook, Twitter, Hadoop, Teradata, Oracle & more and make the data instantly available on Looker, Power BI, Tableau, Microstrategy, Jupyter Notebook etc.
Lyftrondata eliminate the time spent by engineers building Snowflake data pipelines manually – and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL.
Lyftrondata prebuilt connectors automatically deliver data to Snowflake warehouses in normalized, ready-to-query schemas and provide full search on data catalog.
Hybrid cloud management
Successfully build a hybrid cloud which acts as a data loader and a data bridge. The data loading part should be responsible for managing the data pipeline, while the Data Bridge would let BI tools execute SQL queries across the cloud boundary.
Join us in this journey of innovation to build agile, modern data delivery platform that will accelerate time to insights by 75% and let you query any data with Sql. Our vision is simple: to build a platform for data delivery that easily integrates all of a business’s data and allows to query in real-time with Sql and then allows it to be melded to specific work processes in a way where users can do more with it and solve higher-value problems. It gives today’s workforce what they want: the ability to work in data rather than just viewing it.
Why Lyftrondata
We will enable your business to make data-driven decisions by:
Empowering
Your business with cost-effective, scalable data solutions.
Enabling
Now no need to write any complex api, rest services, json and xml parsing jobs. Lyftrondata takes care of all these it converts any data into relational format and allow you to query it with simple ANSI sql.
Eliminating
Manual data pipeline complexity so you can access your data easily.
Shorten
Shorten time to insights and cut data management process by 75%.
Pre built connectors
Automatically deliver data to warehouses in normalized schemas.
Modern governed data lake
Lyftrondata enables data governance with data catalog, data model, data definition, data lineage, tagging and enterprise data dictionary search.
How we do it

Integrate any data source
Connect to supported data source Marketing Cloud and import metadata. Register essential data sets in the catalog and begin real-time analytics.

Transform with SQL
Transform or filter the data using SQL that is translated to source data. Combine the data with other data sources.

Migrate to modern database
Automatically convert data types from data source to match the target database types. A columnar data pipeline will load the data without delays.

Query with SQL in Real-Time
Not all data sources must be replicated to a data warehouse to be usable for analytics. Use SQL for any data source and also query data in real-time.

Use any BI Tool
Lyftrondata fully simulates SQL Server on the wire so you can use standard SQL Server drivers available in all BI tools and query Lyftrondata Participating at Snowflake Summit or combine it with other data sources.

Accelerate BI by Prototyping
Shorten BI projects by 4x with a simple trick. First define all required data sets virtually. Build the dashboards on real-time data, consult with business users and replicate the data only when required.

Are you unsure about the best option for setting up your data infrastructure?
