Hydrolix, the streaming data lake company disrupting the economics of big data, is unveiling Hydrolix Search for Splunk, an application designed to enable Splunk users to directly query Hydrolix clusters using the Splunk Query Language. With this release, Hydrolix continues to complement Splunk while helping reduce data storage costs and extend hot data retention periods.
Hydrolix Search for Splunk enables the Hydrolix streaming data lake to function as a backend data store, ultimately reducing the costs of managing log data at scale. Hydrolix’s stateless, decoupled architecture is designed for ingesting, querying, and storing log data at petabyte scale, abstracting the complexity from log storage costs. By simply adding Hydrolix via the Splunk marketplace, Splunk users benefit from 10x or more reduced TCO.
“Hydrolix Search for Splunk makes Hydrolix the landing place for federated log data for Splunk,” said Hasan Alayli, co-founder and CTO of Hydrolix and former Splunk engineer. “It expands the utility and ease of use that Splunk users can benefit from when using Hydrolix to dramatically lower storage costs while making mountains of log data queryable for powerful applications like real-time threat detection, real user monitoring, and multi-CDN observability.”
Hydrolix Search for Splunk additionally offers the following capabilities:
- Fast setup in as little as minutes with minimal configuration required
- Query punk using SPL (the proprietary Splunk query language) through a new hdxsearch command that translates SPL into SQL
- Automatically find the primary timestamp for a specified table
- Apply time range filtering from the Splunk UI
- Limit query results to protect the Splunk UI
Hydrolix Search for Splunk comes on the heels of Hydrolix’s first integration with Splunk, the Splunk DB Connect for Hydrolix driver. This solution allows users to send their most valuable log data to Hyrdrolix, maximizing the value of observability data while enabling developers to use their familiar Splunk UI, according to Hydrolix.
For more information about Hydrolix’s integrations for Splunk, please visit https://www.hydrolix.io/.