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Cisco · Splunk → Databricks · Migration

Proven Splunk to Databricks Migrations: Fixed Scope, Senior Engineers

Migrating Splunk to Databricks is a defined project. We extract cold indexes into Delta tables, converting historical logs without interruption — all with senior engineers and a fixed scope.

Get My Free AssessmentIncludes cost breakdown, architecture diagram, and migration timeline.

Get My Free Assessment

Includes cost breakdown, architecture diagram, and migration timeline.

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Powered by the 3PS Migration Engine

The lowest-cost way off Splunk: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your Splunk estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Databricks, automated where it's safe
Parity validation
Side-by-side testing proves Databricks matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
4–7 month migration
Timeline
40-70% savings on le
Savings
24/7 US-based suppor
Support

How we support Splunk → Databricks after migration

  • Fixed-scope migration with senior engineers
  • Extract cold Splunk indexes into Delta tables
  • No interruption to operations during migration
  • 24/7 US-based support throughout the project
  • 40-70% savings on legacy support while you plan

Soaring Splunk Costs

Unmanageable compute costs in Splunk ES block your ability to scale AI-driven threat detection.

Data Lake Mandate

Your security operations data must merge with the corporate data lake, but Splunk’s proprietary schema makes migration risky.

Latency Constraints

Real-time alerting limits in batch Spark architectures prevent low-latency threat response.

Splunk → Databricks migration — your questions answered

What happens to our existing Splunk detection rules?+

Yes, we convert proprietary Splunk detection rules into Databricks-compatible models during the transition pipeline, preserving your threat detection logic.

Can we maintain real-time alerting during the migration?+

We design a hybrid architecture that keeps your existing alerting live while we migrate data, then transition to low-latency analytics on Databricks.

How do you handle schema changes from our logging agents?+

Our pipeline uses Delta Lake’s schema enforcement and evolution features to handle changes from logging agents without data loss or reprocessing.

What is the cost of the migration project?+

Projects range from $100,000 to $600,000 depending on data volume and complexity, with a fixed scope and timeline of 4–7 months.

Get Your Databricks Security Lakehouse Blueprint

Our post-migration Managed Databricks Delta Lake Optimization & Pipeline Management keeps your Security Lakehouse running at peak performance. Let our senior engineers build your path to Databricks.

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