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Cisco · Splunk → Elasticsearch · Migration

Your Splunk to Elasticsearch Migration, Risk-Free

We run a fixed-scope project using senior engineers to map your SPL queries, forwarders, and DB Connect pipelines. Your Splunk stays vendor-supported during the move, so no forced cutover.

Get My Free AssessmentOne call to scope your migration and timeline.

Get My Free Assessment

One call to scope your migration and 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 Elasticsearch, automated where it's safe
Parity validation
Side-by-side testing proves Elasticsearch matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
2–5 months with 2–4
Project Timeline
$60,000–$300,000 fix
Typical Investment
40–70% vs. vendor re
Cost Reduction

How we support Splunk → Elasticsearch after migration

  • Fixed-scope migration with senior engineers
  • Splunk stays vendor-supported during the move
  • No forced cutover – migrate on your timeline
  • 40-70% savings on legacy Splunk licensing
  • 24/7 US-based support post-migration

Soaring licensing costs

Massive Splunk license cost increases squeeze your observability budget – but you need the data.

Modern stack mismatch

Your infrastructure runs on Kubernetes and containers; Splunk’s proprietary tooling doesn’t fit your modern stack.

Complex query & config migration

Translating SPL to DSL and migrating Heavy Forwarder configs feels like a black box – but we’ve done it dozens of times.

Splunk → Elasticsearch migration — your questions answered

How is SPL translated to Elasticsearch DSL?+

Yes. Our engineers map your SPL queries to Elasticsearch DSL and Kibana visualizations. We handle syntax translation and pipeline rewrites as part of the fixed-scope project.

What about our Heavy Forwarder custom parsing?+

We migrate your Heavy Forwarder configurations – including parsing rules, transforms, and routing – into Logstash pipelines or Elastic Agent integrations.

How do you handle Splunk DB Connect databases?+

We extract the JDBC connection configs and scheduled queries from DB Connect, then rebuild them using Logstash JDBC input or custom sinks.

What is the typical timeline and budget?+

Typical projects run 2–5 months with 2–4 senior engineers. Budget ranges from $60,000 to $300,000 depending on data volume and complexity.

Start Your Elastic Migration Blueprint & Pilot POC

Post-migration, we offer co-managed Elastic Stack Administration and Observability Support – your cluster stays healthy, your team stays focused.

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