Data Analytics · Data Lakehouse

One source of truth, no copies, no drift.

We build governed, open-format lakehouses on object storage so analytics and AI feed from the same clean tables. Built on Amazon S3 with open formats — AWS-first, multi-cloud when you need it, no lock-in.

What's included

Warehouse reliability, lake economics.

Open table formats give you ACID transactions and time-travel on cheap object storage — without ten copies of the truth.

Open table formats

Iceberg or Delta tables with ACID writes, schema evolution and time-travel — queryable by every engine you use.

IcebergDelta LakeParquet

Governance & cataloging

A unified catalog, fine-grained access control and lineage — so the right people query the right data, audibly.

Lake FormationGlue CatalogUnity Catalog

Ingestion & ELT

Batch and incremental loads from databases, SaaS and files — modeled with dbt into trustworthy, tested tables.

dbtGlueFivetranDataflow

Query everywhere

One dataset served to SQL engines, BI tools and ML alike — Athena, Redshift, Trino or Spark.

AthenaRedshiftTrinoSpark

Stop copying data between silos

Most "data problems" are really copy problems: a warehouse copy, a lake copy, an ML copy, all subtly out of sync. A lakehouse collapses them into one governed layer every team reads from.

  • ACID tables on open formats — no proprietary lock-in
  • Tested dbt models so numbers reconcile across tools
  • Governed access and lineage your auditors will like
lakehouse — build
$ dbt build --select marts.*
raw → staging (38 models)
staging → marts (96 models)
iceberg compaction · 1.2TB
214 data tests passed
catalog: lineage published
# one source of truth, freshly built
1
Source of truth, not ten
60%
Storage cost vs. warehouse-only
100%
Tables governed & lineage-tracked
0
Proprietary format lock-in
Data stack review

How many copies of the truth do you have?

We'll map your current data flow, find where it drifts, and design a single governed lakehouse to replace the sprawl.

Map your data stack →