200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify WMI integration in
4 simple steps
Create connections
between WMI and targets.
Prepare pipeline
between WMI and targets by selecting tables in bulk.
Create a workflow
and schedule it to kickstart the migration.
Share your data
with third-party platforms over API Hub
Why choose Lyftrondata for WMI Integration?
Simplicity
Build your WMI pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your WMI data to targets with end-to-end encryption and security.
Accelerated ROI
Rely on the cost-effective environment to ensure your drive maximum ROI.
Customer's Metrics
Track the engagement of your customers across different channels like email, website, chat, and more.
Improved Productivity
Measure the performance of your team and highlight areas of improvement.
360-degree Customer View
Join different data touch points and deliver personalized customer experience.
Hassle-free WMI integration to the platforms of your choice
Migrate your WMI data to the leading cloud data warehouses, BI tools, databases or Machine Learning platforms without writing any code.
Your Cloud Data Warehouses
Your BI Tools
Your Database
Your Machine Learning Tools
Hear how Lyftrondata helped accelerate the data journey of our customers
FAQs
What is WMI?
The Amazon EMR Integration enables the managed cluster platform known as Amazon Elastic MapReduce, which makes it simple to run big data frameworks like Apache Hadoop and Apache Spark on Amazon Web Services.
What are the features of WMI?
Low cost per second: You can take advantage of the low cost per the second service by using the WMI Connectors tool.
Amazon EC2 Spot integration: WMI ETL offers EC2 spot integration service.
Amazon EC2 Reserved Instance integration: Reserved instance integration with WMI Drivers tool.
Elasticity: Amazon Elastic MapReduce, formerly known as the Amazon EMR Integration tool, is a managed cluster platform that makes it easier to run big data frameworks.
What are the shortcomings of WMI?
Master node constraints: Any failure of two master nodes simultaneously is not supported by WMI Integration.
Cluster recovery issues: Cluster recovery is not possible with the Amazon EMR connector.
Availability Zone failures troubles: Clusters of WMI drivers with multiple master nodes are not resilient to Availability Zone failures.
Make smarter decisions and grow your sales with Lyftrondata WMI integration
