Real-time
Real-time sync
Changes in Crustdata or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Crustdata to PostgreSQL integration — real-time data sync
Keep Crustdata and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Crustdata and PostgreSQL
Treat Crustdata like part of your database: its records live in PostgreSQL as real tables, and writes in either place sync to the other in seconds.
Crustdata is a read-only source: Stacksync reads its data in real time and delivers it into PostgreSQL, so PostgreSQL always reflects the current state of Crustdata — without exports, scripts, or schedulers.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in PostgreSQL, where it can be queried and joined like everything else.
Common use cases
- 01 Enrich CRM accounts with firmographics, headcount growth, and tech stack so scoring and routing run on complete data.
- 02 Fill missing contact fields on CRM people records from Crustdata profiles instead of manual research.
- 03 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
- 04 Let an application write to its own database and have those rows appear as records in business systems in near real time
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to PostgreSQL sync onto the matching records in Crustdata, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Crustdata API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Crustdata arrive as row changes in PostgreSQL, ready to drive jobs and notifications.
What you can sync between Crustdata and PostgreSQL
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Crustdata objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Headcount and Growth Metrics Time-series employee counts by department and region; read to score accounts on hiring momentum and expansion signals. | Sequences Generate surrogate keys for rows created by inbound syncs. | Headcount and Growth Metrics is specific to Crustdata and Sequences to PostgreSQL — each maps to any object or custom field on the other side. | |
| Tech Stack Detected technologies per company; read to build segments and route accounts by the tools they already use. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Tech Stack is specific to Crustdata and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side. | |
| Screener Results Saved company searches with filter criteria; read on a schedule so target-account lists in the CRM refresh as companies enter the criteria. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Screener Results is specific to Crustdata and Tables to PostgreSQL — each maps to any object or custom field on the other side. | |
| Enrichment Responses Real-time enrichment lookups keyed by domain or profile URL; read to append fresh firmographic and contact data at form-fill or record-creation time. | Views Read-side projections used to expose joined or filtered data to a sync. | Enrichment Responses is specific to Crustdata and Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Companies Firmographic records — industry, size, funding, growth signals; read out to enrich CRM accounts and warehouse company tables. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Companies is specific to Crustdata and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| People Contact and profile data for decision-makers; read into a CRM or outreach tool to fill missing titles, emails, and LinkedIn profiles. | Schemas Namespaces that scope which tables a sync reads and writes. | People is specific to Crustdata and Schemas to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Crustdata and PostgreSQL
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Crustdata PostgreSQL Interval-based propagation
DetectionStacksync polls Crustdata for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets.
DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Crustdata Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryCrustdata does not accept inbound record writes, so this direction carries requests rather than records: Crustdata's output flows back as field updates on the originating PostgreSQL records.
Rate-limit considerations
- Crustdata: Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Crustdata ⇄ PostgreSQL
Connect Crustdata and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Crustdata–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Crustdata or PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Crustdata or PostgreSQL record.
Observability
Monitoring
Track your Crustdata ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Crustdata and PostgreSQL.
How the Crustdata and PostgreSQL connectors work
Crustdata
- Integration surface
- REST API (JSON)
- Authentication
- API token — Authorization: Token header issued per workspace
- Change detection
- Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets; no webhooks or change feed
- Capabilities
- read
- Rate limits
- Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Crustdata to PostgreSQL — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Crustdata and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Crustdata
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Crustdata and PostgreSQL objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Crustdata ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Crustdata PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Crustdata and PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Crustdata and PostgreSQL — Crustdata is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
-
Common patterns for Crustdata and PostgreSQL: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to PostgreSQL sync onto the matching records in Crustdata, giving go-to-market teams live product context.
-
Crustdata: REST API (JSON). Authentication: API token — Authorization: Token header issued per workspace. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
-
Crustdata: Crustdata is a data provider — the API is read-only, so syncs flow one way: out of Crustdata into your CRM, database, or warehouse. PostgreSQL: Composite primary keys are not supported; a single auto-generated primary key column is required. Stacksync's field mapping accounts for these differences between Crustdata and PostgreSQL without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Crustdata and PostgreSQL records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Crustdata and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Crustdata–PostgreSQL integration in-house.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 343 integrations available for Crustdata and PostgreSQL.
Popular · 5 of 343
-
Crustdata ⇄ MongoDB -
PostgreSQL ⇄ Shopify -
PostgreSQL ⇄ Affinity -
PostgreSQL ⇄ 6sense -
PostgreSQL ⇄ Apollo.io
No integrations match .
