Optimize Elasticsearch ingest costs, normalize to ECS format, and extend data retention without expanding your cluster. Make Elastic affordable at scale.

The Problem
Elasticsearch pricing (whether self-managed or Elastic Cloud) is driven by ingest volume and storage. As your security telemetry grows, so do your cluster costs. You're forced to choose between visibility and budget: either ingest less or pay more for nodes you shouldn't need.
Optimize Elastic with intelligent pre-processing
Tenzir filters, aggregates, and normalizes data before it hits Elasticsearch. Reduce ingest volume, extend retention to cold storage, and maximize the value of your Elastic investment.
The optimization layer for Elastic
Tenzir sits in front of Elasticsearch, processing data before ingesting. Filter noise, normalize to ECS, enrich with context, and route based on value and urgency.
Why Tenzir extends Elastic
Direct ingest
Sending all data to Elasticsearch means every event consumes cluster resources. Scaling requires more nodes, more storage, and licensing costs, whether Elastic Cloud or self-managed.
Cluster costs scale linearly
No pre-ingest transformation
Expensive long-term retention in hot tier
Tenzir optimizes before ingesting and extends retention beyond your cluster. Keep Elasticsearch lean for real-time work while maintaining years of queryable history in S3.





















