Enterprise Analytics at Petabyte Scale
DataVault's Fortune 500 customers needed to run complex analytical queries across petabyte-scale datasets in real time. Their Python/Pandas-based MVP crumbled past 10GB. We designed and delivered a distributed query engine, self-serve BI layer, and data governance platform now used by 35 enterprise customers.
Analysts at enterprise customers were waiting 45–90 minutes for queries that returned 10 rows. The system fell over at 10GB datasets — their customers had petabytes. There was no governance, audit trail, or role-based access. Customers were churning to Snowflake and BigQuery. DataVault needed a technical leap, not a patch.
We built a distributed query engine on Apache Arrow + DuckDB for in-memory columnar processing, with ClickHouse as the analytical store. A self-serve semantic layer lets business users define metrics once and query them in plain SQL or a no-code interface. Fine-grained RBAC, column-level masking, and full audit trails satisfy enterprise compliance.
Apache Arrow + DuckDB in-memory processing with ClickHouse backing delivers <1s on petabyte queries.
Business users define metrics in YAML; query them in SQL, a no-code builder, or via REST API.
Fine-grained RBAC with column masking, row filters, and immutable audit logs for SOC 2 compliance.
Monaco-powered editor with auto-complete, query history, version control, and team sharing.
Drag-and-drop dashboards with 30+ chart types, scheduled email delivery, and embedded analytics.
Direct connectors for Snowflake, BigQuery, Redshift, S3, Postgres, and 45 more data sources.
Customer interviews, query profiling, distributed systems design, technology selection.
Apache Arrow integration, DuckDB embedding, ClickHouse deployment, query planner, caching layer.
50+ source connectors, schema inference, incremental sync, metadata cataloguing.
YAML metric definitions, dbt integration, SQL generation, no-code query builder.
Next.js platform, Monaco SQL editor, D3 visualisations, dashboard builder, embedding.
RBAC, column masking, audit logs, SOC 2 preparation, SSO, customer onboarding.
Their code quality is exceptional. Clean, documented, fully tested. Onboarding our own engineers into the codebase took days, not months. That's rare in any vendor — and the query engine performance left our data team speechless.
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