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Security investigations over historical data stored in external data lakes without ingesting it into Splunk. Federated Search to query distributed data in place without moving it, reducing latency and storage costs. AI-powered field extraction and flexible schema options for data preparation and routing.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 12, 2026

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A good fit for

  • Organizations requiring scalable cloud or on-prem deployments with extensive integrations and AI capabilities.

Know the limitations

  • Pricing for Federated Search is based on data volume scanned and requires contacting sales for details, which may limit cost predictability.

What you can do

  • Security investigations over historical data stored in external data lakes without ingesting it into Splunk.
  • Statistical analysis and data enrichment by querying data in place across hybrid environments.

Features

  • Federated Search to query distributed data in place without moving it, reducing latency and storage costs.
  • AI-powered field extraction and flexible schema options for data preparation and routing.
  • Automated schema resilience to handle schema drift and ensure consistent query results.

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
splunk logosplunkNo pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

  1. Use federated search to analyze data where it lives, reducing costs by routing only critical logs to Splunk and keeping other data in external storage.
  2. Transform data for AI by unlocking machine data and operational context for model training, AI-assisted investigations, and agentic action with governance and oversight.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

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What changed

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Sources & research

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