Between cloud hosting, data engineering salaries, and per-query bills that grow with every AI agent you deploy, backend infrastructure is the cost that scales fastest and least predictably. MinusOneDB replaces your warehouse, ETL, search engine, and stream processor with one system — so you ship features, not plumbing.
Typical startup data stacks: a database, a warehouse, ETL pipelines, a search engine, a stream processor, a caching layer, and a FinOps dashboard to manage the bills. MinusOneDB replaces all of that. One API. One bill. Your engineers build product, not infrastructure.
Real numbers from production workloads. Same queries, same data volume — 10x less on infrastructure. That's runway you keep.
Capacity pricing means your agents can run thousands of queries without multiplying your bill. Build agentic features your competitors can't afford to.
No ETL to maintain, no warehouse to tune, no search cluster to manage. A web engineer or full-stack dev can build what used to require a dedicated data engineering team.
~5M queries/month on base hardware. Need more? Double the infra for double the throughput. No re-architecture. No migration. Just grow.
Traditional data-intensive applications require a dedicated backend team: a data engineer to design the schema and ETL pipelines, a DevOps person to manage the infrastructure, someone who knows Snowflake or Databricks to handle the warehouse, and another specialist for search if you need it. For a startup, that's three to four hires before you've built a single feature.
MinusOneDB changes the math. Because the system handles storage, indexing, querying, and scaling in one place with a straightforward API, a full-stack or web engineer can build what previously required a specialised data team. You're not replacing engineers — you're letting the engineers you have build the product instead of the plumbing.
When we built the Qonsent platform — an ecosystem of four connected applications for compliant data capture — the entire tech stack was delivered in 80% less time and at 80% less cost compared to traditional development. Not because the team was bigger, but because the infrastructure was simpler.
m1db's architecture and approach is a significant departure from the past. Here's why we're different.
m1db provides a single, unified interface that eliminates the need for dozens of specialized tools. Write less glue code, manage fewer services, and ship features faster.
Instead of traditional row or columnar storage, m1db uses a distributed search-first architecture that delivers orders-of-magnitude better query performance at a fraction of the cost.
