Eon Log Space
Unified Archive and Search Layer for Your Logs
Turn archived logs into instantly searchable infrastructure. No restoring archives or rebuilding indexing pipelines.
Search and investigate historical logs instantly
Automatically discover, store, and analyze.
Investigate incidents over time
Search months or years of historical logs instantly to understand what changed, when issues began, and how environments evolved. No restoring archives or rebuilding indexing pipelines.
Run security and compliance investigations
Quickly locate activity across log sources from a single archive layer to support audits, forensic workflows, and policy validation.
Explore logs using familiar analytics tools
Access archived logs in Parquet format and query them directly with Athena, Spark, Snowflake, Databricks, or Trino. No restores or reformatting required.
Detect trends and patterns across environments
Search across datasets automatically discovered from S3 backups to identify usage shifts, anomalies, and operational patterns over time.
Keep logs searchable without SIEM-level cost
Retain years of log history in low-cost object storage while preserving fast search access so teams can investigate events beyond typical retention windows.
Frequently Asked Questions
Eon Log Space is a cloud-native archive and search layer that keeps long-term logs instantly queryable directly from object storage. It automatically discovers supported datasets from sources like AWS CloudTrail, AWS CloudWatch, Datadog, and Splunk DDSS, converts them into structured Parquet tables, and builds a full-text index so teams can search months or years of logs without restores or indexing pipelines.
SIEM platforms keep logs searchable but become expensive at long retention windows. Log Space keeps logs searchable directly in object storage, allowing teams to retain years of history at lower cost while still supporting investigations, audits, and analytics workflows.
No. Log Space makes archived logs instantly searchable without restore workflows, rehydration pipelines, or dedicated indexing infrastructure. Logs remain queryable directly in their archive location.
Log Space automatically detects supported datasets from sources such as AWS CloudTrail, AWS CloudWatch, Datadog, and Splunk DDSS, and registers them as searchable resources. Additional S3-backed log datasets can also be structured and queried through the same archive search layer.
Yes. Log Space converts logs into structured Parquet tables so teams can query them using familiar tools like Athena, Snowflake, Databricks, Spark, or Trino without reformatting data or building pipelines.
Ready to turn passive storage into active infrastructure?
Eon is a self-funding platform delivering immediate ROI and savings.
Enterprise-grade, single-tenant architecture
Each workspace runs inside a dedicated account and VPC, with no shared infrastructure.
