Capture & Ingest
Records land in CEDX Sync already linked to the canonical customer, employee, or vendor ID.
Sync moves data from sources into the warehouse estate: 72 jobs, 48 connectors, per-job freshness SLAs, and a breach queue that names the worst offender instead of averaging it away.
"When Sales, Operations, and Finance read and write the exact same Postgres record, month-end stops being a detective i..."
| Dataset / Semantic Metric | Upstream Estate Source | Data Owner & SLA Tier | Row Volume & Freshness | Lineage Health Score | Query p95 |
|---|---|---|---|---|---|
| fact_canonical_revenue_arrCEDX Sync · Record #1040 | CRM + Quotes + Books + Subscriptions | RevOps & FP&A Canonical | 48.2M Rows · 0.4s Lag | ● 100% Schema Validated | 42ms Query |
| dim_customer_360_healthCEDX Sync · Record #1041 | CRM + Desk + Product Analytics | Customer Success Core | 1.8M Entities · Live | ● Zero Orphan Keys | 28ms Query |
| mart_supply_chain_marginCEDX Sync · Record #1042 | Inventory + Warehouse + Payables | Operations BI Gold Tier | 19.4M Rows · 1.2s Lag | ● Lineage Verified | 64ms Query |
| events_web_and_product_streamCEDX Sync · Record #1043 | Web + Product Analytics SDK | Growth Engineering | 140M Events / Day | ● PII Scrubbed at Ingest | 51ms Query |
The Lag & freshness screen leads with its worst row: returns-com→wh-core-26 at 92 minutes against a 45-minute SLA. Pipeline honesty is a breach queue, not an uptime badge.
Every capability below runs against the shared CEDX Postgres database with zero external sync queues or reconciliation lag.
Every job carries mode, lag, SLA and rows per day: returns-com→wh-core-26 runs incremental at 92m against 45m and is marked degraded; the events archive appends 6.4M rows a day at 90m against a 180m SLA and stays healthy.
The connector list carries type, domain, table count, rows per day, lag and status: file drops, database CDC, SaaS extracts, APIs and webhooks. The events archive leads volume at 6.4M rows a day across 8 tables.
18 tables sit in open drift, and the alert feed names the CRM-to-warehouse job at 48 minutes against a 30-minute SLA with the reason attached: full-refresh mode on 64 tables cannot finish inside the 6-hour schedule.
Every figure below is directly inspectable in the running CEDX Sync application workspace with zero synthetic projections.
Click any screen below to inspect how CEDX Sync moves from initial intake to verified cross-estate completion.
48.2M rows a day, 97.8% success, 14m p95 lag, 72 active jobs of 78 registered, 7 failed runs in 24 hours. Pipeline health reads 93 with the components (drift tables, failed runs, breach jobs, average lag) listed beside it.
Stop paying Fivetran, dbt, Snowflake, and Tableau just to re-join the customer and invoice tables that your SaaS vendors split apart.
Records land in CEDX Sync already linked to the canonical customer, employee, or vendor ID.
Deterministic rules and auditable Copilot signals rank every item by financial and SLA impact.
Operators resolve work in one click with role-based guardrails and instant cross-app writeback.
Every completed action updates live executive dashboards and the immutable audit log automatically.
Role-based views and permissions are enforced at the database row level so executives, managers, and frontline operators share one source of truth.
Owns the breach queue: rallies the 7 failed runs, works the 24 SLA breaches worst-first, and watches the CRM job's 48-minute lag against its 30-minute SLA.
Maintains the 48 connectors (credentials, modes and schedules) and reads the drift list before the business does.
The domain teams who consume the rows. They see lag and drift on the same screens engineering does, so “the data is stale” has a number attached.
CEDX Sync is not an isolated point tool. It reads and writes the exact same customer, ledger, and identity records as the rest of the CEDX software estate.
Sync is how the warehouse's 320 tables stay inside their freshness SLAs: a lag breach here lands there as a stale table.
Metrics computed on synced rows inherit this lag; the metric layer's 18.1h average freshness starts at these jobs.
The webhook and CDC sources on the connector list are the same event spine the rest of the estate publishes to.
Synced rows surface to operators through Tables: drift flags here are visible where the data is worked.
"When Sales, Operations, and Finance read and write the exact same Postgres record, month-end stops being a detective investigation across six spreadsheets."
"Our operators actually enjoy opening the workspace. Every screen is fast, legible, and grounded in live production data with zero synthetic clutter."
"Having identity, least-privilege access, audit trails, and business applications on one kernel cut our security review and provisioning time by 82%."
Drag the seat slider to compare your current stitched stack (Snowflake + Fivetran + Tableau Enterprise + Amplitude + Looker) against running CEDX Sync natively on the unified CEDX estate.
Explore the live CEDX Sync workspace on canonical demo data at /app/sync, or book a 30-minute architecture session to map your first entity rollout.
Instant browser access to CEDX Sync pre-loaded with canonical demo records and connected across the 132-application CEDX estate.