Prelert’s August 26, 2014 Elasticsearch connector linked Elasticsearch data with Anomaly Detective, Prelert’s software for detecting unusual patterns. The announcement described an analytics integration—not dedicated hardware—and its claims about automated detection and scale reflect contemporary coverage, not independent product testing.
What the 2014 connector did
BetaNews reported that the connector let Prelert deploy its Anomaly Detective technology with Elasticsearch stacks. Anomaly Detective was described as processing streaming data, learning patterns treated as normal behavior, and identifying and correlating anomalies. In practical terms, the integration was intended to help teams look for unusual behavior in data stored or handled through Elasticsearch.
The report said the connector was written in Python and available through GitHub at the time. It did not provide a connector version or establish which Elasticsearch releases it supported.
What Prelert and Elastic said about the technology
Prelert CEO Mark Jaffe described the company’s goal as making data analysis easier and producing useful outcomes: “Prelert is dedicated to making it easier for users to analyze their data and drive real, actionable value from it”.
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Two years later, Elastic announced its acquisition of Prelert and plans to bring its technology into the Elastic Stack. Elastic described the technology as using unsupervised machine learning on historical and real-time data, with alerting and notifications. Its examples included security anomalies, fraud patterns, unusual IT metrics, outage diagnosis, and unexpected drops in transactions. Those applications were examples in Elastic’s announcement, not independently verified performance findings.
What happened to the integrations after the acquisition
In its September 15, 2016 integration update, Elastic said the Prelert API Engine and Elastic Stack Integration would be labeled beta while the company worked toward a more native integration. Elastic also said the Prelert Splunk app was entering end of life, while existing support commitments would be honored. These statements describe the transition announced in 2016; they do not establish current product availability or support.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Is the old connector available for current Elasticsearch?
That is not established by the available sources. The 2014 BetaNews report says the Python connector was on GitHub then, but does not confirm that its repository remains available, that it can still be built, or that it works with modern Elasticsearch releases.
Elastic’s current connectors repository describes a framework for syncing third-party data sources to Elasticsearch in self-managed deployments. That is a data-source synchronization function, distinct from the Prelert connector’s reported role in anomaly analytics. The current repository should not be taken as evidence that the legacy Prelert connector is maintained or compatible today.
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