Splunk is powerful but costly and rigid. As an official Elastic Partner, Qavi Tech helps enterprises migrate from Splunk to the Elastic Stack (Elasticsearch, Logstash, Kibana, and SIEM) reducing costs while maintaining speed, visibility, and security.
We evaluate your Splunk architecture, data sources, and dashboards to design a seamless Elastic migration plan.
Our team converts Splunk Processing Language (SPL) queries into Elasticsearch Query Language (ES|QL), ensuring data accuracy and continuity.
We securely migrate logs, metrics, and historical data into optimized Elasticsearch indices using best practices and ECS mapping.
Kibana dashboards and Elastic SIEM alerts are recreated to mirror your Splunk monitoring experience but faster and more flexible.
Full pipeline migration using Logstash, Beats, or Elastic Agent, ensuring your ingestion workflows stay intact.
Comprehensive QA, performance validation, and team training for your new Elastic environment.
Fintech Data Platform
Rising Splunk costs, slow dashboards
Migrated to Elastic Cloud with equivalent dashboards in Kibana and automated alerting via Elastic SIEM
60% cost reduction, 40% faster analytics response time
Q: What is involved in a Splunk-to-Elastic migration?
A: It includes analysis, data migration, SPL conversion, dashboard recreation, and post-migration optimization.
Q: Can I keep my historical data?
A: Yes. We migrate and reindex historical logs, preserving data continuity and retention policies.
Q: Will my alerts and dashboards look the same?
A: Yes – we rebuild dashboards and alerts in Kibana and Elastic SIEM to match your existing monitoring setup.
Q: How long does migration take?
A: Typically 4-8 weeks depending on data volume, environment complexity, and integrations.
Q: Is there downtime during migration?
A: We use phased cutover and dual-ingest techniques to ensure zero downtime.
