Minutes to Milliseconds Guarantee
Your dashboards go from minutes to milliseconds and your data team stops firefighting — 90 days, zero downtime. Or we keep optimizing until they do.
For Floqer (Canada CRM platform), PostgreSQL dashboards were breaking during demos — queries running 2–5 seconds at peak. We migrated to ClickHouse and Kafka: 250ms queries on 200M events/day, 35% cost reduction, 50 concurrent dashboards without degradation. Same client, separate problem: SQS was dropping data under multiple consumers. We moved to managed Kafka: 187K msg/sec, 1.2B events/month, zero data loss. Seven engagements total. We have never had to invoke this guarantee.
The Full Offer Stack
- → Free data platform audit: we profile your current query times, pipeline reliability, and infrastructure spend
- → Target query times agreed in writing before work starts (e.g., "top 10 dashboard queries all under 500ms")
- → Infrastructure cost projection shown upfront — you know what the new platform will cost before migration starts
- → Zero-downtime migration — old platform stays live and validated in parallel
- → All existing reports validated on new platform before cutover — no regression surprises
- → Real-time streaming setup (Kafka) included where relevant
- → Operations runbook + team training included
- → 30-day post-migration support
Pricing & Investment
Depending on data volume, number of sources, and streaming complexity. Optimization-only engagements (no migration, just query tuning and schema work) start lower — assessed after audit. Fixed price always.
→ Two data engineers at $120–150K/year each spend 6 months on a platform migration — that's $120–150K in team time, while your Redshift or Snowflake bill keeps running.
→ We deliver in 90 days, zero downtime, and the new platform costs less to run than the old one.
What Happens If We Fail
If your dashboard query times don't hit the targets we agreed before work started, you don't pay the final milestone. We keep optimizing until they do.
What We Build
ClickHouse Migration & Optimization
Full migrations from PostgreSQL, MySQL, and legacy data warehouses to ClickHouse. Cluster tuning, schema design, materialized views, and query optimization for sub-second analytical queries on billions of rows.
Real-Time Analytics Pipelines
End-to-end streaming analytics infrastructure — ingest, transform, store, query. Built for sub-second freshness on event streams at 100K+ events per second.
Kafka Streaming Infrastructure
Production Kafka clusters with optimized partitioning, schema registry, consumer lag management, and disaster recovery. Greenfield builds or rescue of existing deployments.
Data Warehouse Modernization
Migration from expensive cloud warehouses (Snowflake, BigQuery, Redshift) to cost-effective open-source alternatives. 60–80% cost reduction with equivalent or better query performance.
ETL Pipeline Engineering
Reliable data pipelines with exactly-once semantics, backfill handling, schema evolution, and observability. Built with Kafka Connect, dbt, Flink, or custom streaming processors.
Performance Tuning & Cost Optimization
Query profiling, storage-tiering, compression optimization, and cluster right-sizing. We find 30–70% savings in most data infra bills within the first month.
Who This Is For
- → CTOs whose data platform is struggling to keep up with real-time reporting demands
- → Engineering teams migrating from PostgreSQL to ClickHouse for analytical workloads
- → Companies spending $50K+/month on cloud data warehouses that could run on open-source for 70% less
- → Startups building event-driven architectures that need Kafka infrastructure they can trust
How It Works
Technical Audit (Week 1)
We audit your current data stack: query latency, pipeline bottlenecks, cost breakdown, schema design, and failure modes. You get a written roadmap with specific performance and cost targets.
Build (Weeks 2–8)
We own the architecture and implementation end-to-end. ClickHouse migration, Kafka pipeline setup, ETL engineering, or whatever your roadmap calls for. Weekly check-ins, full code transparency.
Handover + Runbook
We ship the working platform with runbooks your team can actually use. Query patterns, alerting thresholds, scaling procedures, and on-call training so you're self-sufficient from day one.
FAQ
What does a data platform modernization engagement look like?
We start with a technical audit of your current data infrastructure — query patterns, pipeline latency, cost breakdown, and failure modes. Then we build the target architecture iteratively: typically ClickHouse migration, Kafka pipeline setup, and observability tooling. Most engagements run 6–12 weeks.
When should I migrate to ClickHouse?
When your analytical queries take seconds instead of milliseconds, your PostgreSQL replica is struggling with aggregations, or your data warehouse bill is growing faster than your data. ClickHouse delivers sub-second analytical queries on billions of rows at a fraction of the cost of traditional solutions.
Do you work with existing Kafka deployments?
Yes. We take over existing Kafka clusters that are underperforming — tuning partition strategies, consumer lag management, schema registry issues, and scaling configurations. We also build greenfield streaming pipelines when the use case demands it.
What's your minimum engagement size for data platform work?
Data platform engagements typically start at $40,000. These projects involve significant infrastructure and migration work — we need enough runway to make a real impact on your data architecture.
Can you reduce our existing data infrastructure costs?
In most cases, yes. We've reduced data infrastructure costs by 70%+ for clients by right-sizing ClickHouse clusters, optimizing storage-tiering policies, eliminating redundant ETL pipelines, and migrating from expensive cloud data warehouses to cost-effective open-source alternatives.
All Offers at a Glance
| Service | Offer | Pricing | Proof | Guarantee Trigger |
|---|---|---|---|---|
| AI Product Development | The Zero-Hallucination Guarantee | $35–75K | 72% LLM cost reduction; 12+ shipped | Final milestone withheld until accuracy + cost targets met |
| Backend Engineering | The Zero 3AM Guarantee | $30–55K | 310K inserts/sec; 64% cost save; 12ms P99 | Final milestone withheld until P99 + throughput targets met |
| Technical Product Studio | The Technical Co-Founder Sprint | $45–85K | Lunagen MVP; full ownership model | Final milestone withheld until product operates independently |
| ClickHouse Consulting | The $47K Fix | $25–60K | 40+ deployments; $47K→$8.2K; 0 data loss | Final milestone withheld until cost + latency targets met |
| MVP to Production | Demo to Done Guarantee | $30–60K | 42% cost reduction; 93% reliability gain | Final milestone withheld until production readiness criteria met |
| Data Platform Modernization | Minutes to Milliseconds Guarantee | $35–65K | 187K msg/sec; 0 data loss; 200M events/day | Final milestone withheld until query time targets met |
Ready to Modernize?
Tell us about your data platform. We'll audit your current infrastructure and tell you what it would take to get real-time analytics at scale.
Schedule a Call