Replicate data from your ERPs, project tools, and GIS systems into Snowflake, Azure Synapse, or your data warehouse. The same connectors that power Integration Hub — now feeding your analytics stack. No more manual exports.
Pre-built connectors for industrial systems pipe directly to Snowflake, Synapse, or Postgres. Incremental updates only sync what's changed. You own the warehouse, the schema, and the analytics on top.
Data flows continuously from your source systems into your data warehouse. No scheduled exports, no manual uploads, no broken pipelines to fix at 2 a.m.
Pre-built connectors for ERPs, project management, GIS, and CAD systems that generic data pipeline tools don't support well — Procore, Sage, Viewpoint, ArcGIS, Autodesk.
Data lands in Snowflake, Azure Synapse, PostgreSQL, or wherever your analytics team works. We move the data — you own the destination and the model.
CDC, webhooks, and watermark-based updates keep the load light on your source systems and the latency low in your warehouse. No full reloads.
Schema-drift detection, row-count baselines, and run-history that your data team can actually trust. We'll wake you before your dashboards do.
Use Analytics on its own, or pair it with Integration Hub. Either way you get one set of connectors, one console, and one place to operate every flow.
Use Integration Hub connectors to authenticate with your source systems — ERPs, project tools, GIS platforms.
Point Analytics at Snowflake, Azure Synapse, PostgreSQL, or another supported destination. You own the warehouse.
As data changes in source systems, it flows into your warehouse. Incremental updates keep everything current without full reloads.
Query with SQL. Connect Power BI or Tableau. Model with dbt. Build reports in Excel. Your data, your warehouse, your tools.
Do I need Integration Hub to use Analytics?
No — some customers use Analytics on its own for data replication. But if you also use Integration Hub, you get all your data movement in one place: system-to-system sync and warehouse replication managed together.
What data warehouses do you support?
Snowflake, Azure Synapse, PostgreSQL, Microsoft SQL Server, and other common destinations. Data lands in your warehouse — you own it completely.
How is this different from generic data pipeline tools?
Coverage. Generic tools have limited support for construction ERPs, project management platforms, and GIS systems. Analytics uses the same connectors as Integration Hub — Procore, Sage, Viewpoint, ArcGIS, Autodesk, and 60+ other industrial systems that most pipeline tools don't touch.
How fresh is the data?
It depends on the source system. We use webhooks and streaming APIs where available for near real-time updates. For systems with API rate limits, we sync as frequently as the source allows.
Do you transform the data or just replicate it?
We replicate the data as-is into your warehouse. Schema design and transformations are up to you — use dbt, your BI tool's modeling layer, or raw SQL. We get the data there; you decide how to structure it.