From raw event ingestion to queryable analytics, The Atelier's product stack covers the full data lifecycle with clean, versioned APIs at every layer.
See PricingConcrete artifacts, not strategic recommendations.
The core product is a configurable data platform delivered as a set of managed microservices and a companion developer SDK. A typical engagement produces: a production-deployed event ingestion API (REST or Kafka topic bridge) with schema validation and dead-letter queuing; a transformation layer built on dbt or Apache Spark depending on your volume profile; a read-optimised analytics API with pre-aggregated endpoints for your ten most critical KPIs; an embedded dashboard component (React, Vue, or Web Component) that your frontend team can drop into any authenticated view; and a Terraform module that provisions the entire stack on your cloud account, versioned and tagged for your CI/CD pipeline. Timelines run four to ten weeks depending on data complexity and integration surface.
Five modules that compose into a complete data intelligence layer for any product.
Schema-validated, high-throughput ingestion supporting JSON and Avro payloads. Built-in deduplication, replay support, and a dead-letter queue for every topic. Handles bursts to 100,000 events per minute on standard tier without configuration changes.
dbt or Spark pipelines that clean, join, and aggregate your raw events into fact tables your analysts can query without asking an engineer. Full lineage tracking, automated data quality tests, and run-time alerting on schema drift.
Pre-aggregated, cache-optimised endpoints for your core KPIs. Sub-100ms p99 latency at production load. Versioned with semantic versioning — v1 endpoints never break, giving your frontend team a stable contract to build against.
A framework-agnostic component library that renders your analytics data inside your own product UI. Supports React, Vue 3, and standard Web Components. Theming via CSS custom properties — slot your brand tokens directly in.
OpenTelemetry-instrumented services, structured JSON logs shipped to your preferred sink (Datadog, Grafana Cloud, or AWS CloudWatch), and a pre-built alert ruleset covering error rate, latency percentiles, and queue depth thresholds.
“The Analytics Read API saved us approximately three engineer-months of work. We had tried to build the aggregation layer ourselves twice and abandoned it both times because query latency was unacceptable. The Atelier delivered sub-80ms p99 in a staging environment within four weeks — running on our existing RDS cluster, not a new data warehouse we'd have to manage.”
Priya Menon, Head of Engineering — HealthTech SaaS, Singapore
Clean-tech diagrams from actual production deployments, rendered in the charcoal-gold palette of The Atelier's design system.
We run 30-minute technical walkthroughs for engineering leads — no sales pitch, just the API explorer and real production data.
Book a Demo