Unified Data Management That Connects Every System You Run
Unified data management turns fragmented cloud, on-prem, and SaaS sources into one governed, real-time data layer your teams can trust. We design, build, and operate data integration services so analytics, AI, and operations run on the same clean, consistent data.
Stop paying for five disconnected platforms and reports nobody trusts. Run your business on a single version of the truth.
- Batch, streaming, and CDC pipelines across cloud, on-prem, and SaaS
- Native connectors for Snowflake, Databricks, BigQuery, Kafka, SAP, Salesforce, and 200+ systems
- Schema evolution, data contracts, and automated lineage out of the box
- Governance, RBAC, and audit built into every integration layer
- Cloud-native, event-driven architecture with sub-second latency where it matters
Why Is Your Data Still Trapped in Silos?
Most enterprises run 80 to 400 systems, but their data does not flow between them. Integrations get built ad-hoc by different teams, pipelines break silently, definitions drift across domains, and every new analytics or AI project starts by rebuilding the same plumbing. The cost is slow decisions, duplicated work, and AI models trained on broken data.
Reference Architecture for Cloud and Data Integration
Batch, streaming, and CDC connectors for 200+ systems, including SAP, Oracle, Salesforce, Workday, Kafka, and file-based sources.
Lakehouse on Snowflake, Databricks, or BigQuery with medallion architecture across bronze, silver, and gold layers.
dbt for SQL transformations and Spark or Flink for streaming, all version-controlled in Git.
Airflow or Dagster with full lineage, retries, SLAs, and dependency-aware scheduling.
Collibra, Unity Catalog, or Purview for catalog, lineage, RBAC, and data contracts.
Pipeline-level monitoring, data freshness SLAs, anomaly detection, and cost controls.
Reverse ETL, APIs, and event streams that push governed data back into operational systems.
How We Deliver Unified Data Management in 90 Days
We map your sources, targets, existing pipelines, data owners, and priority use cases. Output: integration inventory, pain-point heatmap, and prioritized roadmap. (1 to 2 weeks)
We design the reference architecture, select cloud data integration tools, and define data contracts for critical domains. Output: architecture decision record, tool stack, and contract templates. (2 to 3 weeks)
We implement the first production pipelines, governance layer, CI/CD, and observability, covering two to three high-value use cases end-to-end. Output: live platform with monitored pipelines and onboarded domain teams. (4 to 6 weeks)
We migrate legacy pipelines, onboard new domains, and decommission redundant tools. Output: consolidated platform, reduced license spend, and documented operating model. (8 to 16 weeks)
We run the platform or enable your team with SRE practices, cost optimization, and continuous improvement. Output: SLAs met, cost per pipeline declining, new sources onboarded in days. (ongoing)
Measurable Impact of Unified Data Management
50 to 70% reduction in time to onboard a new data source, from weeks to days.
40 to 60% lower total cost of ownership versus maintaining multiple ETL and iPaaS tools.
30 to 50% faster delivery of analytics and AI use cases on the new platform.
90%+ pipeline reliability with automated monitoring and data contracts.
Sub-second latency for streaming use cases, with under 15-minute freshness for operational analytics.
Single audit trail across every data movement, with GDPR and HIPAA requests answered in hours, not weeks.
Who Gets the Most Value From Unified Data Management
A Unified Data Platform, Not Another Point Tool
We deliver full-lifecycle data integration services across every source and target you run: ingestion, transformation, orchestration, quality, and delivery. One team, one reference architecture, one operating model, replacing a patchwork of ETL, iPaaS, and custom scripts.
Frequently Asked Questions
Unified data management is an operating model where ingestion, transformation, governance, quality, and delivery run on one integrated platform instead of separate tools. Traditional ETL focuses only on moving data. Unified data management adds data contracts, lineage, master data, observability, and self-service, so the platform scales across domains without breaking.
We work with them first. Most clients already have Fivetran, Airflow, dbt, Informatica, or similar tools in place. We assess what works, consolidate what overlaps, and replace only what is clearly underperforming or redundant. The goal is a coherent platform, not a vendor rip-and-replace.
Typically 6 to 8 weeks to first production use case. Our 90-day delivery model gets an MVP integration platform live with two to three high-value use cases, full governance, and observability. Scaling to additional domains runs in parallel over the following quarters.
Yes. Our reference architecture is hybrid by default. We use secure agents, private connectivity (VPN, PrivateLink, ExpressRoute), and CDC tooling to integrate on-prem systems like SAP, Oracle, and mainframes with cloud warehouses and lakehouses, without forcing a full migration first.
Through data contracts, automated tests, and observability. Every critical dataset has a schema contract enforced in CI/CD, freshness and volume SLAs monitored in production, and anomaly detection on key metrics. Failures alert the data owner, not a central team, so quality stays close to the source.
It depends on data volume, source complexity, and latency requirements, but most clients reduce total integration cost by 40 to 60% compared to maintaining multiple legacy ETL and iPaaS tools. We provide a cost model during discovery so you see platform, license, and run-cost projections before committing.
Your choice. We offer three models: fully managed (we run it), co-managed (shared SRE), or enablement (we build, your team runs). Most clients start co-managed and move to enablement within 12 months, once their team is trained on the reference architecture.
Ready to Unify Your Data?
Book a 30-minute, no-obligation data integration assessment. We map your current landscape, identify the top three consolidation opportunities, and give you a costed roadmap for unified data management, whether you engage us or not.
Discovery call
We map your current landscape and the systems you most need connected.
Consolidation review
We identify the top three opportunities to consolidate tools and cut integration spend.
Costed roadmap
You get a costed roadmap for unified data management, whether you engage us or not.