200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify Apache Hive integration in
4 simple steps
Create connections
between Apache Hive and targets.
Prepare pipeline
between Apache Hive 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 Apache Hive Integration?
Simplicity
Build your Apache Hive pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your Apache Hive 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 Apache Hive integration to the platforms of your choice
Migrate your Apache Hive 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 Apache Hive?
Massive-scale analytics are made possible by Apache Hive Integration, a distributed, fault-tolerant data warehouse system. A data warehouse provides a central store of information that can easily be analyzed to make informed, data-driven decisions. Hive allows users to read, write, and manage petabytes of data using SQL.
What are the features of Apache Hive?
What are the shortcomings of Apache Hive?
Apache Hive Connectors does not support update and delete operations on tables.
Apache Hive Drivers do not favor subqueries.
The latency in the Apache Hive Integration query is very high.
Apache Hive ETL is not used for real-time data querying since it takes a while to produce a result.