Apache Drill Releases Version 1.19 With New Connectors
The latest Apache Drill update expands data integration support to include Elasticsearch, Splunk, and Apache Cassandra.
Updated on Oct. 28, 2026 in Software
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Apache Drill version 1.19 is now generally available, introducing enhanced connectivity for major data platforms. This release streamlines complex data queries by integrating directly with Elasticsearch, Splunk, and Apache Cassandra.
Why it matters
By adding new native connectors and an XML format plugin, the update allows users to query diverse data sources without the need for predefined schemas. This functionality reduces technical overhead when managing large-scale distributed data environments.
The 1.19 release introduces a specialized XML plugin that enables query execution without schema definitions. Additionally, the software performs query optimization by pushing operations directly to source systems.
The players
Apache Drill
This distributed SQL query engine is designed for big data exploration and is a key component of the HPE Ezmeral Data Fabric.
Apache Airflow
This platform is used for programmatically authoring, scheduling, and monitoring workflows, and it integrates with Apache Drill for data pipeline management.
The details
The update facilitates broader interoperability by allowing the REST plugin to query APIs that return XML data. Apache Drill also functions as a core component within the HPE Ezmeral Data Fabric, further supporting its integration with Apache Airflow.
Timeline
Apache Drill 1.19 was initially introduced in June 2026.
The software became generally available on October 27, 2026.
The Tech Race
This release deepens the integration capabilities of the HPE Ezmeral Data Fabric, reinforcing its position in the competitive landscape of distributed data management. It replaces manual schema configuration with automated push-down operations, reflecting a broader industry shift toward more agile data query engines.
Developers and data engineers can now utilize direct connectors for Elasticsearch, Splunk, and Apache Cassandra to streamline their workflows. This change eliminates previous manual data mapping hurdles, allowing for faster integration of XML-based API results into existing data pipelines.
The takeaway
This update provides significant utility for teams needing to query disparate data sources simultaneously. Organizations should evaluate whether these new connectors align with their current data architecture requirements for improved efficiency.
Further reading
For more information on the latest industry developments, visit the Software section.
Source note: This article includes information reported by TechTarget.
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