Elasticsearch-first expertise. 40% faster than industry standard. 2.4TB production migration proven. 60+ successful migrations. 24-hour response SLA.
Free 90-day roadmap — limited to 5 assessments per month
Tool lock-in, migration complexity, and downtime risk slow enterprise adoption of modern observability. You’ve seen the numbers. You know the cost of staying. The question is how to leave without breaking production.
Your team knows Splunk inside out. But the cost keeps climbing — 20-40% YoY increases on features you barely use. You’ve built custom dashboards, trained your team, and integrated 12 tools around it. The lock-in isn’t technical. It’s organizational.
See our methodologyMoving production data at scale isn’t a weekend project. Schema mapping, query translation, integration rewiring, validation testing — each one is a project in itself. Multiply by 15 billion documents and the complexity compounds.
See how it worksYour SLA guarantees depend on uptime. A failed migration means lost revenue, angry customers, and the meeting nobody wants to be in. Every vendor claims “zero-downtime.” None show you 2.4TB of proof.
See our proofAudit trails. Compliance logs. Operational analytics. One integrity error during migration and your SOC2 audit has a gap. Your CISO has questions. Your board has concerns. The data must arrive complete, verified, and audit-ready.
See complianceMigrating from Splunk, Datadog, or OpenSearch? We've documented the technical considerations, cost implications, and migration strategies for each platform.
Migration strategy, cost comparison, data volume scaling, search performance optimization, and timeline considerations.
View Migration Guide
Observability migration path — APM transition, log forwarding, infrastructure monitoring setup, cost analysis at scale.
View Migration Guide
Fork migration considerations — feature parity analysis, performance benchmarks, plugin compatibility, enterprise support transition.
View Migration GuideArchitecture, not slide decks. Here’s how we migrated 2.4TB of production data for a Fortune 500 financial services firm — with zero downtime and zero data loss.
A Fortune 500 financial services firm needed to migrate 2.4TB of production observability data from Splunk to Elasticsearch. The constraints: zero downtime (SLA: 99.99% uptime), zero data loss (SOC2 audit trail required), and a 3-week validation window mandated by their compliance team. 12 Splunk indexes. 400GB/day ingest rate. 15 billion documents.
We deployed a dual-write migration strategy: the application writes to both Splunk and Elasticsearch simultaneously during migration. Custom ingest pipeline with schema validation handled the 12 index-to-shard transform rules. AI-assisted query rewriting converted 200+ Splunk SPL queries to Elasticsearch KQL — reducing manual translation from 6 weeks to 10 days. Real-time data consistency checks validated every document at ingestion.
Migration completed in 8 weeks. Production traffic cut over with zero interruption.
“Technical execution depth from architects, not generalist consultants.”
Proven on 60+ production migrations. Every phase has rollback capability, validation gates, and defined acceptance criteria. No phase proceeds until the previous one passes.
Deep audit of your current platform. We analyze data volume, retention policies, query patterns, integrations, and team skills. You get a Migration Assessment Report with precise scope, timeline, cost analysis, and risk map.
“15B documents, 12 integrations, 5 dashboards, 8-week timeline — scoped in 5 business days.”
Migration architecture design with rollback plan. We define the dual-write strategy, schema mapping, validation criteria, and team training schedule. Deliverable: Migration Blueprint with 200+ validation tests and rollback checkpoints at every milestone.
“Dual-write strategy designed. 200+ validation tests authored. Rollback tested before execution begins.”
Phased data migration with zero-downtime dual-write strategy. Data migrates in stages. Validation runs in real-time. Rollback capability stays active at every checkpoint. Your production environment continues to serve traffic without interruption.
“2.4TB migrated over 8 weeks. 99.99% uptime maintained. AI-assisted query rewriting converted 200+ SPL queries to KQL.”
Production smoke tests, performance benchmarking, compliance verification. We prove migration success with measurable outcomes and full audit trails. Deliverable: Runbook, performance report, compliance certification, team training completion.
“100% data integrity verified. 40% cost reduction confirmed. 50% query performance improvement measured.”
Typical migration timeline with milestones, deliverables, and validation gates at every phase. Your team stays informed. Your production stays live.
Deliverable: Migration Assessment Report
Deep audit of your current platform. Data volume, retention policies, query patterns, integrations, team skills — all mapped. You receive a Migration Assessment Report with scope, timeline, cost analysis, and risk assessment within 5 business days.
Get Your Assessment
Deliverable: Migration Blueprint
Migration architecture design with dual-write strategy, schema mapping, validation criteria, and team training plan. 200+ validation tests authored. Rollback tested. Blueprint signed off before execution begins.
See Migration Methodology
Deliverable: Production Elasticsearch Cluster
Phased data migration with zero-downtime dual-write. Data migrates in stages with real-time validation and rollback capability at every checkpoint. 2.4TB production migration completed in 8 weeks with 99.99% uptime maintained.
See Migration Case Study
Deliverable: Runbook + Performance Report
Production smoke tests. Performance benchmarking. Compliance verification. Team training. Runbook delivery. 30-day post-migration support included. 24-hour response SLA active from Day 1.
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Every vendor claims zero-downtime. We prove it. Here’s how SquareShift compares on the capabilities that matter to your migration.
| Capability | SquareShift | Hyperflex | BigData Boutique | Industrial Resolution |
|---|---|---|---|---|
| Zero-Downtime Proof | 2.4TB production proven | No proof | Claimed, no proof | No proof |
| Multi-Source Support | Splunk, Datadog, New Relic, OpenSearch | Splunk focus only | Multi-source claimed | Not specified |
| AI-Native Delivery | AI-assisted planning + query rewriting | No AI tooling | AI narrative, no tools | No AI tooling |
| Production Scale | 15B documents, 2.4TB | No scale proof | 50TB/8hrs (different use case) | No scale proof |
| Rollback Capability | Checkpoint rollback at every phase | Not specified | Not specified | Not specified |
| 24-Hour Response SLA | Committed and resourced | Not specified | 24/7 SLA (support, not migration) | Not specified |
| Proprietary Accelerators | Topology Builder, Blast Radius, Log Reduction | Splunk Migrator tool | No migration tools | No tools |
Their Strength: Elastic-exclusive focus with Splunk Migrator tool and transparent pricing.
Hyperflex has no zero-downtime proof at production scale. SquareShift’s 2.4TB production migration with 99.99% uptime exceeds any published competitor proof. Our AI-assisted query rewriting converts SPL to KQL 40% faster than manual translation.
Their Strength: Deep technical expertise with 24/7 SLA support.
No migration-specific methodology. No rollback framework. No dual-write architecture proof. SquareShift’s 4-phase migration framework with checkpoint rollback and 100% data integrity validation is purpose-built for zero-downtime migrations.
Their Strength: Named packages and AWS Marketplace presence.
No published migration metrics, no case study proof, no scale evidence. SquareShift’s 15B documents migrated and Elastic Innovation Award 2023 demonstrate execution depth that named packages cannot replicate.
Proprietary tools built from patterns across 60+ migrations. Each one reduces a specific risk vector or compresses a specific timeline phase.
Maps your current Splunk or Datadog topology to Elasticsearch architecture automatically. Uncovers hidden dependencies, integration points, and migration risks before execution begins.
Used in 40+ migrations
See Topology BuilderPre-migration impact analysis. Predicts what breaks when you migrate — downstream dashboards, alerting rules, integration endpoints — and generates a rollback plan before you commit.
80% risk reduction
Request DemoIntelligent log sampling reduces data volume by 60% without losing signal. Cuts migration timeline and storage cost. Your migration moves less data and finishes faster.
60% data reduction proven
Calculate SavingsLLM-powered alert triage during migration. Suppresses false positives by 90% while maintaining observability coverage. Your on-call engineers focus on real issues, not migration noise.
90% false positive reduction
See AI Triage DemoSOC2, HIPAA, PCI-DSS audit trail preservation. Your compliance posture survives migration. Guaranteed.
Every migration event logged with immutable audit trail. Compliance-ready from Day 1. Your auditors see continuous, unbroken event history through the entire migration window. No gaps. No missing entries.
SOC2-compliant migration methodology
Migrate data with geographic residency requirements intact. GDPR and HIPAA compliance preserved throughout migration. Data stays where regulations require it to stay — even during transfer.
HIPAA-compliant migrations
100% data integrity validation at every checkpoint. Cryptographic verification confirms every document arrives complete and unmodified. 2.4TB production migration achieved 0% data loss with full audit trail preservation.
2.4TB migration, 0% data loss
All migration inquiries answered within 24 hours. Not an automated acknowledgment — a qualified human response with next steps. Resourced across Americas, Singapore, and Chennai time zones.
See SLA detailsFortune 500 Financial Services. Splunk to Elasticsearch. Zero downtime. Zero data loss. 40% cost reduction. Here’s what happened.
Fortune 500 Financial Services (BFSI)
Splunk to Elasticsearch Migration
Migrate 15B documents from Splunk to Elasticsearch without business disruption. SOC2 compliance required continuous audit trail preservation. 12 indexes, 400GB/day ingest rate, 3-week compliance validation window.
SquareShift’s 4-phase zero-downtime migration methodology with dual-write strategy, AI-assisted query rewriting (200+ SPL-to-KQL conversions), and checkpoint rollback at every phase.
Transparent pricing for packaged migration engagements. SOW-based with defined acceptance criteria. No surprises.
Pricing Based on Proven Methodology: 60+ migrations, 2.4TB production scale, 0% data loss
| Feature | Express | Standard |
Enterprise |
|---|---|---|---|
| Price | $25K | $75K | Custom |
| Best For | <500GB, <10M documents | 500GB-5TB, 10M-1B documents | >5TB, >1B documents |
| Timeline | 4-6 weeks | 8-12 weeks | 12-16 weeks |
| Methodology | 4-phase framework | 4-phase + accelerators | 4-phase + full accelerator suite |
| Validation Tests | 50+ | 200+ | 500+ |
| Team Size | 2-3 consultants | 4-6 consultants | 8-10 consultants |
| 24-Hour SLA | Included | Included | Included |
All migration engagements include: 4-phase methodology (assessment, planning, execution, validation), zero-downtime dual-write strategy, rollback capability, 100% data integrity validation, team training, runbook handoff, 30-day post-migration support, and 24-hour response SLA. Express and Standard tiers show “starting at” pricing. Full scope and cost confirmed after assessment.
Enterprise pricing is based on data volume, complexity (number of integrations, custom dashboards, query patterns), timeline requirements, and accelerator needs. After assessment, we provide a fixed-price SOW with milestones and acceptance criteria. No open-ended billing.
Yes. Express and Standard migrations show “starting at” pricing on this page. Full pricing details — including accelerator add-ons and Managed Services tiers — are provided after assessment. We quote fixed-price SOWs, not estimates that inflate mid-engagement.
All engagements are SOW-based with defined acceptance criteria per phase. If scope changes, we issue a change order with updated timeline and cost before proceeding. You approve the change order. No surprise invoices.
Yes. Standard and Enterprise migrations support milestone-based payment: 25% after assessment, 25% after planning, 25% after execution, 25% after validation. You pay when each phase delivers its defined output.
Yes. Managed Services tiers (Tier 1/2/3) are available post-migration with 24/7 SLA-backed support. Custom pricing based on environment size and SLA requirements. Migration + Managed Services can be bundled.
Learn about Managed ServicesNot the softball FAQ. The questions your VP Engineering asks before signing a migration SOW.
We use a dual-write migration strategy. During migration, your application writes to both the source platform (Splunk, Datadog, or OpenSearch) and Elasticsearch simultaneously. Production traffic continues uninterrupted. We validate data integrity in real-time and switch traffic only after 100% validation passes. Rollback capability remains active at every checkpoint.
Proof: Our 2.4TB production migration maintained 99.99% uptime over 8 weeks.
Read full case studyEvery migration includes 100% data integrity validation with cryptographic verification at every checkpoint. We validate during assessment, planning, execution, and validation phases. Rollback triggers automatically if any validation check fails. Our 2.4TB production migration achieved 0% data loss with full audit trail preservation. SOC2-compliant methodology documented.
See migration methodologyMigration timelines depend on data volume and complexity:
All timelines include assessment, planning, execution, and validation phases. Our 2.4TB production migration completed in 8 weeks. Timelines are fixed in the SOW with milestone-based delivery.
Typical migration ROI shows 40-90% cost reduction over 3 years when comparing Splunk or Datadog TCO to Elasticsearch TCO. The migration itself costs a fraction of one year of continued legacy tool pricing. Use our TCO calculator to estimate your specific savings based on your data volume and retention policies.
Calculate your TCO savingsYes. We support migrations from Splunk, Datadog, New Relic, OpenSearch, and legacy Elasticsearch — including simultaneous multi-source consolidation. We’ve migrated customers consolidating 5+ observability tools into a single Elasticsearch deployment. Your heterogeneous stack is not a blocker.
Every migration includes team training, operational runbook handoff, and 30-day post-migration support. Your team receives hands-on Elasticsearch training during the migration itself — not a separate course after the fact. If you want ongoing expert support, Managed Services are available with 24/7 SLA-backed operations. 24-hour response SLA applies from Day 1.
Learn about Managed ServicesStill have questions? Talk to a migration architect.
Book 30-Minute Consultation90-day migration roadmap with cost analysis, risk assessment, and zero-downtime execution plan. 24-hour response SLA guaranteed. No credit card required.
90-day roadmap with cost analysis and risk assessment
All migration inquiries answered within 24 hours. Learn about our SLA commitment
Proven at Scale
Trusted by enterprises migrating production workloads from legacy observability platforms to Elasticsearch.
Elastic Innovation Award 2023