Keep the history you need.
Retain high-volume telemetry for as long as your investigations and audit requirements call for.
Security Data Lake
Your security data. Without expiry.
Cold Storage. Hot Intelligence.
Keep cloud, identity, endpoint, network, and application telemetry in object storage you own. Search and analyze years of retained data without restoring archives or managing search clusters—a data foundation for investigations, analytics, and AI context.
Customer-owned Object-storage No rehydration Serverless compute Multi-year searchable retention
All Security Data
Cloud
Identity
Endpoint
Network
SaaS
Logs
Keep everything
Rover
Hot Intelligence
Years of context.
Answers in seconds.
Answers in seconds.
Instant Search
Analytics
Historical Search
Retention
From telemetry to intelligence One searchable foundation.
One searchable foundation.
All the history you choose to keep.
Bring high-volume security data into a lake that stays useful—from the first event to years of retained activity.
01
Bring your telemetry.
Receive events through HTTP push and pull, or bring data directly through an object-storage drop.
02
Build the searchable foundation.
Rover builds its index in your object storage. Schema-on-read lets you work with the data you retain.
03
Ask questions across your history.
Run full-text search, field filters, and aggregations across retained security data without restoring archives.
Search Everything
Years of data. Answers in seconds.
Search and analyze your full security history as if it were hot—without rehydration, moving data, or managing search clusters.
Years of history. One query.
Search across cloud, identity, endpoint, network, SaaS, and application telemetry with no distinction between "hot" and "archived" data.
Full-text + structured search
Find exact events or hunt across arbitrary fields.
Analytics in the same query
Filter → group → count → avg → stats without switching systems.
No rehydration
Historical data is already queryable.
Search security data Time: Last 10 years
1
2
3
2016 → 2026 All security data 0.0 TB bytes · 0.0M events · 0.00 sec
Activity over 10 years Log scale
201620182020202220242026
Source IPCount
10.4.18.22 0
18.221.44.11 0
192.168.1.105 0
54.21.19.8 0
…
Retention & Ownership More history.
More history.
A foundation you control.
Keep the telemetry you would otherwise archive or discard. Storage and query compute scale independently.
Separate storage and compute.
Store data in object storage and use serverless query compute, without sizing or maintaining search clusters.
Keep ownership of your data.
Activity records and indexes stay in your object storage, under your control.
Put the lake to work A data foundation.
A data foundation.
More than one way to use it.
Start with the telemetry you need to keep. Use the same retained history for search, analytics, and longer-term context.
High-volume telemetry
Keep what you used to drop.
Retain DNS, network flows, cloud audit, and raw endpoint events that are too costly to keep in traditional indexed systems.
Historical analysis
Ask questions beyond today.
Compare activity over time, investigate older events, and search retained records for audits without a separate restore workflow.
Analysts & AI agents
Give questions more context.
Make a longer security history available for the queries and analysis that support people and AI-driven investigations.
Security Data Lake
The searchable data foundation.
Ingest, retain, search, and analyze telemetry. Build around the data and retention your team needs.
Rover SIEM
Security workflows on that foundation.
Add continuous detection, threat hunting, and investigation context. Explore the SIEM page for those capabilities.
Explore Rover SIEMBuilt For Retention Economics
Keep years of data. Not years of infrastructure.
Storage and query costs grow as searchable retention increases. Rover keeps data and indexes in object storage and pays for compute only when queries run.
Interactive Cost Model
Calculate your savings with Rover.
Data lakes and warehouses charge for storage and query compute. Rover pricing is based on daily ingestion volume, with multi-year retention included and queries billed at $0.01 each.
1 TB / day
10 GB/d 100 TB/d
Telemetry volume: 30 TB / month (High-Volume Enterprise)
Query Workload Factor 5× Factor
↳ 5.0× query workload. Autonomous AI SOC agents running continuous investigations and historical pivots.
Calculated query workload: 30,200 queries / mo (25,000 alerts + 5,200 hunts)
Hot Tier Retention Period 3 Years
Billing Term
Provider Estimated Pricing (monthly)
Rover Platform < 1.5 min search
$16,667 /mo
Snowflake est. 2.4–7.4 hr query latency
Security Data Lake
* Fast on time filters · Slow on unindexed log search
13.7x higher
$228.2K /mo
Databricks est. 2.4–7.4 hr query latency
Lakehouse
* Fast on time filters · Slow on unindexed log search
19.0x higher
$316.3K /mo
AWS Security Lake + Athena est. 17 min–2.6 hr query latency
Data Lake
* Fast on time filters · Slow on unindexed log search
30.9x higher
$515.1K /mo
Cribl Lake + Search est. 30 min–2.1 hr query latency
Telemetry Data Lake
1.7x higher
$27,823 /mo
Elastic Security Serverless est. 2 sec–1 hr query latency
Security Analytics Complete
1.9x higher
$31,175 /mo
Google BigQuery est. 3–16 min query latency
Data Warehouse & Lake Analytics
113.8x higher
$1.9M /mo
Microsoft Fabric OneLake est. 30 min–2.1 hr query latency
Data Lake & Analytics Platform
$10,541 /mo
No Hot Index Tier· No Always-On Search Cluster· No Rehydration
Retention grows. Search infrastructure doesn't.
Rover Security Data Lake Keep the telemetry you need.
Keep the telemetry you need.
Make the history useful.
Start with the security data that is too expensive to retain in your existing tools. See how Rover keeps it searchable in your own object storage.
Customer-owned object storage• Searchable long-term retention• No rehydration• No search clusters