Data warehousing and BI on Fabric, Databricks and Snowflake, engineered for AI.
Contemplr's certified data engineers design, build and run modern data platforms: warehouses and lakehouses, semantic models and Power BI, real-time pipelines and observability. We recommend the platform that fits your estate, and we reconcile every number before anyone builds AI on top of it.
Three platforms. One engineering standard.
Our engineers hold current certifications across the three leading cloud data platforms, so each recommendation rests on fit: a Microsoft estate, data-science depth or multi-cloud sharing.
One SaaS platform for engineering, warehousing, real-time analytics and BI on a single copy of data in OneLake.
- Lakehouse and Warehouse on OneLake (Delta)
- Data Factory pipelines and Dataflows Gen2
- Direct Lake semantic models for Power BI
- Real-Time Intelligence and Eventstreams
- Purview governance, capacity sizing and FinOps
The Data Intelligence Platform for large-scale Spark engineering, streaming and machine learning on open Delta Lake.
- Delta Lake medallion and Delta Live Tables
- Databricks SQL warehouses for BI
- Unity Catalog lineage, access control and sharing
- MLflow, Feature Store and Mosaic AI
- Structured Streaming and Auto Loader
The AI Data Cloud: elastic, low-administration warehousing with secure sharing across clouds and partners.
- Warehouse design, clustering and cost control
- Snowpipe, Streams, Tasks and Dynamic Tables
- Snowpark for Python pipelines
- Cortex AI and Horizon governance
- Secure Data Sharing and Marketplace
| Decision factor | Microsoft Fabric | Databricks | Snowflake |
|---|---|---|---|
| Operating model | SaaS, capacity-based (F SKUs) | PaaS in your cloud, DBU-based | SaaS, credit-based per warehouse |
| Sweet spot | Power BI-heavy, Microsoft 365 and Azure estates | Spark engineering, ML and streaming | SQL analytics, sharing, multi-cloud |
| Storage format | Delta on OneLake | Delta Lake with UniForm for Iceberg | Native tables plus Apache Iceberg |
| BI path | Direct Lake, no import refresh | Databricks SQL with Power BI or Tableau | Live connection to any BI tool |
| Governance | Microsoft Purview | Unity Catalog | Snowflake Horizon |
| AI features | Copilot, Data Agents | Mosaic AI, Genie | Cortex AI, Snowflake Intelligence |
Undecided? Our two-week assessment benchmarks your real workloads on the short-listed platforms before you commit.
A Contemplr data platform, end to end.
The same blueprint adapts to all three platforms: governed ingestion, a medallion lakehouse and a certified semantic layer, with observability and governance running across every stage.
What we deliver in Data Engineering.
Data Warehouse Modernization
Re-platform legacy SQL Server, Oracle, Teradata and on-premises cubes to Fabric Warehouse, Databricks SQL or Snowflake, with schema conversion, reconciliation and parallel-run sign-off.
Lakehouse and Medallion Design
Bronze, Silver and Gold layers on OneLake, Delta Lake or Iceberg, with incremental loads, SCD2 history, data contracts and automated testing.
BI, Semantic Models and Power BI
Star schemas, certified semantic models and Direct Lake Power BI, plus embedded analytics inside ERP systems and customer portals.
Real-Time and Streaming
Kafka, Eventstreams, Structured Streaming and Snowpipe Streaming for operational dashboards that refresh in seconds.
Integration and Migration
ERP, CRM and SaaS integration with NetSuite, Dynamics, SAP and Salesforce, using CDC and API pipelines that survive schema change.
Governance, Security and FinOps
Microsoft Purview, Unity Catalog and Snowflake Horizon for lineage, row-level security, masking and access reviews, with cost guardrails on capacity and credits.
Real-Time Observability
Full-fidelity telemetry for pipelines, platforms and the business itself on ClickHouse, OpenTelemetry and Grafana.
Insights-as-a-Service
The output of every platform we build: we run it and deliver decision-ready KPIs, signal briefings and executive insight packs on a monthly subscription.
From first workshop to trusted dashboards.
Assess
Source inventory, data-quality profiling, KPI catalog, platform fit and TCO.
Architect
Target architecture, medallion and semantic design, security model and landing zone.
Build
Pipelines, models and reports by subject area. Each sprint ships usable data.
Reconcile
Numbers matched to finance and source systems before the old report is retired.
Operate
Hypercare, pipeline SLAs, cost tuning and new subject areas on a managed cadence.
A data platform is the start. Insight is what it is for.
After implementation, Contemplr keeps your data and AI platforms running and turns what they reveal into daily KPIs, weekly signal briefings and a monthly executive insight pack.
Real-Time Observability.
Actionable Insights.
Business Impact.
Real-time observability is part of our Data Engineering practice. We deploy and operate enterprise observability platforms on ClickHouse, one of the fastest real-time analytics databases available, and we architect the full stack: ingestion, enrichment, analytics, alerting and business-facing dashboards.
From financial-services loan-lifecycle monitoring to connected-vehicle telemetry and live market microstructure, our deployments become the operational backbone for organizations that can't afford blind spots.
The economics of seeing everything.
Traditional observability stacks force a brutal trade-off: either you capture everything and pay seven figures, or you sample and accept blind spots. ClickHouse removes the trade-off with full-fidelity ingest, sub-second analytics and high-cardinality business observability at a fraction of legacy cost.
We pair ClickHouse with a real-time reduction layer so millions of raw events become a handful of meaningful, actionable signals. That is the difference between data you store and insight you act on.
A single backbone for the
entire loan business.
A real-time observability and analytics platform for a major financial-services client, spanning loan lifecycle, dealer operations, payments, collections, fraud, and infrastructure on one ClickHouse-powered backbone.
Real-Time Observability Platform: Financial Services
ingestion → kafka streaming → clickhouse analytics → executive dashboards
From the factory floor to the
vehicle, in real time.
A business-observability platform unifying manufacturing, fleet & vehicle telemetry, supply chain, and customer signals, turning millions of IoT and operational events into command-center clarity.
Connected Industry Observability: Manufacturing & Mobility
iot & cdc → kafka → clickhouse domains → insights & command center
The same capture, reduce and act pattern powers SpikeIQ, our live market-signal and execution platform.
What we build. What it delivers.
Data Ingestion Layer
Real-time collectors (Fluent Bit / Vector), API & event streams, database CDC via Debezium, batch file ingest and cloud infrastructure logs, unified into one streaming backbone.
Kafka Streaming
Apache Kafka as the event backbone with ksqlDB stream processing for enrichment, filtering and aggregation in real time before data lands in ClickHouse.
ClickHouse Core
Raw event store, parsed & enriched events, business event models, materialized aggregations, and domain data marts, structured for sub-second queries at petabyte scale.
Executive Dashboards
Revenue, volume, risk, and SLA views. Operations, performance, customer experience, and risk monitoring, in real time and by role.
Alerting & Auto-Escalation
Real-time SLA, failure, and anomaly alerts via Email, SMS, Teams, Slack. ServiceNow / Jira integration with automatic ticketing and escalation.
Security & Governance
IAM, row-level security, data masking and audit trails deliver regulatory compliance without sacrificing real-time performance.
Make your data AI-ready.
Start with a two-week assessment: platform fit, a data-quality baseline and a costed roadmap on Fabric, Databricks or Snowflake.
Prefer a set time? Book a 30-minute call or message us on WhatsApp.