Cost-Effective
Avoid expensive licensing and per-seat fees.
Use enterprise-grade tools with transparent, predictable costs based on actual usage.
Build, test, and customize your own infrastructure. Deploy on-premises, in any cloud, or hybrid—your choice, your control.
Leverage tools developed and maintained by major tech companies, with the transparency and auditability of open source.
Maintain complete ownership of your data and infrastructure. No vendor lock-in, no black boxes, full transparency in how your data is processed.
Choose Your Data Stack Architecture
Select the reference architecture that best matches your company's size, technical requirements, and growth stage.
Startup/SMB Stack
Build a serious data stack without breaking the budget.
$50–$200/mo
What’s included?
Lightweight stack: PostgreSQL, dbt, Airbyte, Metabase, Docker.
Built for teams under 50, handling up to 10GB/day.
Low cost: From $50 to $200/month, no vendor lock-in.
Fast setup: Go from messy data to insights in a weekend.
Scales as you grow with minimal DevOps overhead.
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Growth Company Stack
Scale analytics without enterprise complexity.
$500–$2000/mo
What’s included?
Powerful stack: Kubernetes, ClickHouse/Postgres, Airflow/Dagster, dbt, Superset.
Built for mid-size teams (50–500), handling 10GB–1TB daily.
Real-time analytics and complex transformations across departments.
Reliable, scalable, and cost-efficient — typically $500–$2000/month.
Supports multiple teams without enterprise bloat.
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Self-hosted Enterprise
Real-time infrastructure for mission-critical data.
$2000–$10,000/mo
What’s included?
Enterprise-grade stack: Airbyte Enterprise, Kafka, Flink, ClickHouse, Dagster Enterprise, dbt, Iceberg, Kubernetes.
Built for 500+ employee companies processing TBs+ daily.
Real-time event processing for monitoring, fraud detection, and operational intelligence.
Sub-second latency, massive scale, and full control with enterprise reliability.
Typical costs: $2,000–$10,000/month, depending on scale and complexity.
