New offering helps teams keep more data, search it faster, and spend less – without replacing their existing tools
Imply, the company founded by the original creators of Apache Druid, announce Imply Lumi, the industry’s first Observability Warehouse a high-performance, cost-efficient data layer built to plug into existing observability tools with zero disruption.
Observability and security teams are under growing pressure to retain more data, accelerate investigations, and reduce costs all while juggling legacy systems, expanding telemetry, and siloed vendor ecosystems. The path forward lies in decoupling: using the best tool for each layer of the stack, scaling independently, and accelerating innovation through an open, modular approach.
“Decoupling the observability stack gives teams the freedom to do more while spending less,” said Fangjin Yang, CEO and co-founder of Imply. “Just as decoupling transformed business intelligence, Imply Lumi brings that same flexibility and control to observability without requiring teams to abandon the tools they already rely on.”
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Imply Lumi Expands What You Can Do with Splunk
At launch, Imply Lumi includes native integrations with Splunk, Grafana Labs, Tableau, and AI assistants like Claude and Langchain extending observability data into both dashboards and AI-powered interfaces.
We’ve proven that Imply Lumi can take log data, optimize it for faster searches, and store it more efficiently than traditional formats and that has our partners and early adopters excited,” said Eric Tschetter, Chief Architect at Imply. “With these innovations, teams can keep all their logs in a format that works seamlessly with Splunk, combining efficiency, speed, and compatibility in one solution.”
As a recognized member of the Splunk Partnerverse, Imply is working alongside Splunk’s ecosystem of technology and services partners to extend the value of Splunk deployments. By deploying Imply Lumi alongside Splunk, customers can keep using the tools they know while gaining the scale and efficiency they need to meet today’s observability demands.
Source: Businesswire