4 Simple Steps for Migrating to
HD Insight with zero coding

Create connections
between data
sources and HD Insight

Prepare a source to the HD Insight pipeline by selecting tables in bulk

Assemble a workflow and schedule it to start the HD Insight migration process

Share your data
with third-party platforms
over API Hub

Simple and Intuitive

Switch to HD Insight like a boss

High-Speed Performance

Enjoy HD Insight high-speed performance with codeless data environment

Prebuilt Transformation

Say goodbye to tedious manual tasks with prebuilt transformation templates

Monitoring Data

Monitor your HD Insight data frequently

Integrate data from ERP, CRM, legacy databases, and other 300+ sources to HD Insight

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Hear how Lyftrondata helped accelerate the data
journey of MOL Group

100X
Faster
reporting
98%
New applications
onboarded
$550K
Spend
reduction
70%
Accelerated
sales

Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines.

Koichi Tsuji

Consulting Partner at MOL Group

FAQs

Azure HDInsight Integration is a managed, full-spectrum, open-source analytics service in the cloud for enterprises. With HDInsight, you can use open-source frameworks such as Apache Spark, Apache Hive, LLAP, Apache Kafka, Hadoop and more, in your Azure environment.

Open-source platform: Azure HDInsight Integration manages your big data needs in an open-source platform.

Build ecosystem: Azure HDInsight ETL helps in building your projects in an open-source ecosystem.

Integrate services: Azure HDInsight Connectors tool helps Integrating natively with Azure services.

Complexity: Azure HDInsight Connectors tool complexities related errors.

Data Transfer: Data Transfer can get harder with Azure HDInsight ETL.

Support: Azure HDInsight Integration has support related constraints.

Complicated Pricing: Azure HDInsight Drivers tool has price complexities issues.

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