200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify CrateDB integration in
4 simple steps
Create connections
between CrateDB and targets.
Prepare pipeline
between CrateDB 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 CrateDB Integration?
Simplicity
Build your CrateDB pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your CrateDB 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 CrateDB integration to the platforms of your choice
Migrate your CrateDB data to the leading cloud data warehouses, BI tools, databases or Machine Learning platforms without writing any code.
Hear how Lyftrondata helped accelerate the data journey of our customers
FAQs
What is CrateDB?
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 CrateDB?
Low cost per second: You can take advantage of the low cost per the second service by using the CrateDB Connectors tool.
Amazon EC2 Spot integration: CrateDB ETL offers EC2 spot integration service.
Amazon EC2 Reserved Instance integration: Reserved instance integration with CrateDB 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 CrateDB?
Master node constraints: Any failure of two master nodes simultaneously is not supported by CrateDB Integration.
Cluster recovery issues: Cluster recovery is not possible with the Amazon EMR connector.
Availability Zone failures troubles: Clusters of CrateDB drivers with multiple master nodes are not resilient to Availability Zone failures.