Cost Optimization
Stop Paying the 'Elastic Tax'
Comparing Total Cost of Ownership (TCO) between legacy ELK stacks and the modern ClickHouse + VictoriaMetrics architecture. Reduce infrastructure spend by 50-80%.
Legacy: ELK / Prometheus
High index bloat. Often requires 2x-3x the raw data size in disk space.
30s - 120s
Heavy JVM overhead and row-based scanning bottlenecks.
- ✕ Frequent "Out of Memory" JVM crashes
- ✕ Complex Shard & Index Management
Modern: CH + VictoriaMetrics
Advanced columnar compression. Store 10x more data on the same hardware.
< 1.5s
Vectorized execution engines purpose-built for telemetry.
- ✓ Zero-Restart Config Reloads
- ✓ Simple Binary Management (No JVM)
Resource Requirements
Typical hardware footprint for 10TB of daily log ingestion.
| Metric | Elasticsearch Stack | ClickHouse Stack |
|---|---|---|
| CPU Cores | 128 vCPU | 16 vCPU |
| RAM Usage | 512 GB (JVM Heavy) | 64 GB |
| Disk Space (30d) | 450 TB | 45 TB |
Projected ROI Calculator
Adjust the slider to estimate your annual savings with a modern stack.
New Monthly Estimate
$7,500
Annual Net Savings
$210,000
12-Month Cumulative Cost Forecast
While legacy costs scale linearly with data volume, our modern architecture achieves "Break Even" by month 3, leading to massive long-term savings.
Month 1
Initial Setup
Month 3
Break Even
Month 6
50% Savings
Month 12
80% Savings
Architecture Efficiency Mapping
Visualizing how resources are utilized between data ingestion and query execution.
Ingestion Throughput
ClickHouse sustains 20x higher ingestion rates per CPU core than Elasticsearch.
Long-Term Storage
VictoriaMetrics reduces metrics disk footprint by 7x compared to Prometheus TSDB.
Cloud Bill Savings
Our typical migration project results in a 60% reduction in monthly cloud compute spend.
Stack Selection Guide
Choose the deployment model that fits your operational maturity.
Self-Hosted (K8s/Bare Metal)
Maximum cost control. Ideal for large-scale enterprises with existing SRE teams to manage stateful sets.
- Lowest infrastructure TCO
- Complete data sovereignty
Managed Cloud (SaaS)
Balance speed and cost. Use ClickHouse Cloud or VictoriaMetrics Managed for zero-ops scaling.
- Fastest time-to-value
- 24/7 Expert support
Hybrid/Serverless
Best for variable workloads. Scale compute independently of storage using S3-backed engines.
- Infinite storage on S3
- Pay only for query CPU
Migration FAQ
How long does a typical migration take?
A standard migration follows a four-step lifecycle: Audit, POC, Cutover, and Offload. Depending on complexity, the 'Break Even' point is typically reached by Month 3.
Will there be downtime during the transition?
No. We use a parallel stack deployment strategy. Traffic is seamlessly redirected using OpenTelemetry collectors to ensure 99.99% telemetry uptime during the switch.
Do we need to change how we instrument our applications?
Generally, no. By deploying OTel Collectors as a proxy, we ingest your existing data formats and route them to the new backends without requiring code rewrites.
The Migration Path
Audit
We analyze your current ingestion rates and cloud billing bottlenecks.
POC
Parallel stack deployment to validate query speed and compression.
Cutover
Seamless traffic redirection via OpenTelemetry collectors.
Offload
Decommissioning legacy clusters and realizing immediate ROI.
Calculate Your Savings
Let us run a performance audit on your current ELK or Prometheus stack and show you exactly how much you can save.