ChaosSearch announced several new platform integrations designed to support growing demand for less complex, less expensive cloud data solutions.
With these new partnerships, organizations can leverage the ChaosSearch Cloud Data Platform to simplify storing, searching, and analyzing massive amounts of operational data that informs more valuable, strategic business decisions.
The ChaosSearch Cloud Data Platform indexes data on a customer’s preferred cloud, helping users achieve greater operational investigation, visualization, and alerting.
To further extend the power of this platform, ChaosSearch has created new technical partnerships with Cribl and Datadog. These integrations will make it easier for joint customers to remove the cost and retention limitations of their log data, unlocking full visibility and analysis. Specifically, the combination of Cribl Stream and the ChaosSearch Cloud Data Platform will optimize customers’ SIEM, APM, and observability solutions, improving incident investigation, threat hunting, and more. Similarly, Datadog users will be able to leverage ChaosSearch to gain a centralized, 360-degree view of their log data and enhance the benefits of Datadog for metrics and tracing, all while reducing costs.
In addition to its newly announced partnerships, ChaosSearch has also added SQL Trino API access for relational workloads, allowing for both operational and analytical questions of a single, unified dataset. The combination of new partner integrations and enhanced log capabilities are driving significant value for users, with Modica, ServicePower, and Sixth Street joining ChaosSearch’s growing list of enterprise customers.
“Building best-of-breed observability platforms that can handle the increasing volume and complexity of operational data is no easy feat,” said Thomas Hazel, Founder, CTO, Chief Scientist, ChaosSearch. “Most modern cloud platforms are not capable of scaling as organizations produce more data and limit views into critical insights that inform business decisions. ChaosSearch was created to fix that, and we look forward to educating the AWS re:Invent audience later this month.”
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