Load data from Hadoop to Snowflake in minutes

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What's Hadoop

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

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.

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.

Lyftrondata is the fuel of your data success, Try Lyftrondata today for Snowflake migration

Our Hadoop to Snowflake migration solution brief

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.

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.

Transform with SQL

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

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 Load data from Hadoop to Snowflake in minutes or combine it 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.

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.

Our Modern Data Ecosystem

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