Your firm's own schema
Entry types and fields are read from your tenant rather than a fixed list, so bespoke configuration comes through.
Polytomic connects DealCloud to your data warehouse, databases, and SaaS tools for ETL and reverse ETL. Replicate the entry types your firm configured into Snowflake or BigQuery, and write enriched data back onto entries, without writing code.
Entry types and fields are read from your tenant rather than a fixed list, so bespoke configuration comes through.
Entry types carrying a modified date resume from a checkpoint instead of being reread each run.
Write back to entries matched on EntryId or the key fields your tenant defines.
Replicate DealCloud entry types into Snowflake, BigQuery, or Databricks
Move data between DealCloud and your data warehouse, databases, and SaaS tools, in both directions.
DealCloud is configured differently at every firm, so Polytomic reads your tenant's schema rather than assuming a standard object model. Entry types and their fields are discovered from your own configuration, which means the entries your firm built appear alongside the familiar ones.
Reads and writes both run against those discovered entry types. Writable fields are resolved from your tenant too, so calculated and read only fields are excluded from mapping automatically rather than failing when a sync runs.
Two authentication routes are available: a DealCloud API key sent as a bearer credential, or OAuth client credentials scoped for data access. Once connected, Polytomic reads your tenant's entry types and fields, so the object list reflects your firm's configuration rather than a generic model.
Set up and manage syncs without writing code.
Use SQL to define exactly what data gets synced.
Supports large datasets with incremental syncs and bulk APIs.
No credit card required. Free trial available.