Apache Drill Support Services Support Packages
10 days resolution time
2 days resolution time
6 days resolution time
2 hours resolution time (via urgent ticket)
10 days resolution time
2 days resolution time
6 days resolution time
2 hours resolution time (via urgent ticket)
10 days resolution time
2 days resolution time
6 days resolution time
2 hours resolution time (24/7 included)
Why Ksolves is the Trusted Choice for
Apache Drill Support
We provide end-to-end support for Apache Drill to ensure high-performance query execution,
stable cluster operations, and reliable integration with your data ecosystem.
We deploy scalable Drill clusters in cloud, on-premise, or hybrid setups, optimizing node distribution, memory, CPU allocation, and high availability.
We analyze and tune execution plans, caching, parallelism, and vectorized operations to accelerate SQL queries and reduce latency.
We enhance metadata caching, schema inference, and storage layout to ensure consistent, fast, and accurate query results.
We ensure smooth interoperability with Hive, HBase, S3, ADLS, RDBMS, Kafka, Spark, and Presto/Trino for connected analytics workflows.
Proactive monitoring of Drillbit health, query performance, memory usage, and system metrics to resolve issues before they impact business-critical workloads.
We create custom UDFs, connectors, and workflow automation tailored to your business requirements.
Our team handles Drill version upgrades and migrations with minimal downtime, preserving backward compatibility and operational stability.
Cluster Deployment & Scaling
We deploy scalable Drill clusters in cloud, on-premise, or hybrid setups, optimizing node distribution, memory, CPU allocation, and high availability.
Query Performance Optimization
We analyze and tune execution plans, caching, parallelism, and vectorized operations to accelerate SQL queries and reduce latency.
Metadata & Schema Optimization
We enhance metadata caching, schema inference, and storage layout to ensure consistent, fast, and accurate query results.
Integration with Data Ecosystems
We ensure smooth interoperability with Hive, HBase, S3, ADLS, RDBMS, Kafka, Spark, and Presto/Trino for connected analytics workflows.
24×7 Monitoring & Incident Response
Proactive monitoring of Drillbit health, query performance, memory usage, and system metrics to resolve issues before they impact business-critical workloads.
Custom Development & Extensions
We create custom UDFs, connectors, and workflow automation tailored to your business requirements.
Safe Version Upgrades
Our team handles Drill version upgrades and migrations with minimal downtime, preserving backward compatibility and operational stability.
What is Apache Drill?
Apache Drill is a distributed SQL engine that lets you query structured and semi-structured data without needing predefined schemas.
Which data sources does Drill support?
Hadoop/HDFS, MongoDB, HBase, and cloud storage like Amazon S3, Azure Blob, and Google Cloud Storage.
Can you deploy Drill on cloud platforms?
Yes. We support AWS, Azure, GCP, and hybrid environments.
Can you integrate Drill with BI dashboards?
Yes. We configure JDBC/ODBC connectivity for Tableau, Power BI, Looker, Superset, and other tools.
How do we get started?
Just request a quick consultation. We’ll evaluate your environment and recommend the best support plan.