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Data warehouse ⇄ Business productivity

Cloudera Data Platform to Ironclad integration — real-time, two-way sync

Keep Cloudera Data Platform and Ironclad in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Cloudera Data Platform and Ironclad

Get the data locked inside Ironclad into Cloudera Data Platform as live tables, and send results back where Ironclad can use them, without writing a pipeline.

Whatever Ironclad is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Signature Packets, Workflow Documents, Workflows, Records from Ironclad into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Ironclad where the tool can use them.

Common use cases

  • 01 Pull executed contract PDFs from Records attachments into a document store or archive as each workflow completes.
  • 02 Two-way sync Ironclad Records with a warehouse or ERP so executed-contract value, counterparty, renewal dates, and status stay current without manual re-keying.
  • 03 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • 04 Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.

Common sync patterns

Analytics on Ironclad's data

Records and events from Ironclad land in Cloudera Data Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Ironclad's data with data from every other synced system to answer questions no single tool can.

Where Ironclad accepts updates: operational write-back

Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Ironclad, putting analysis where the work happens.

What you can sync between Cloudera Data Platform and Ironclad

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.

Cloudera Data Platform objects Ironclad objects How this pairing syncs
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Signature Packets The e-signature packets on a workflow (sent, signatures collected, fully signed); read to track signing progress, with packet events delivered by webhook for real-time status. Iceberg tables is specific to Cloudera Data Platform and Signature Packets to Ironclad — each maps to any object or custom field on the other side.
Views SQL views that can present curated, sync-ready projections of raw lake data. Workflow Documents Draft and executed documents attached to a workflow; retrieved to pull generated or signed files out into a document store or archive. Views is specific to Cloudera Data Platform and Workflow Documents to Ironclad — each maps to any object or custom field on the other side.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Workflows The core unit of Ironclad: a live contract process (NDA, MSA, order form) moving through creation, review, approval, and signature. Launched via POST, updated via PATCH, and read for status, so contract processes move two-way between Ironclad and a database, CRM, or ERP. Partitions is specific to Cloudera Data Platform and Workflows to Ironclad — each maps to any object or custom field on the other side.
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Records The Repository of executed and stored contracts with metadata (value, counterparty, key dates, type) and attachments; full create, read, update, and delete so signed-contract data and PDFs sync to a warehouse, ERP, or CRM. Object store / HDFS files is specific to Cloudera Data Platform and Records to Ironclad — each maps to any object or custom field on the other side.
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. Entities Structured records for counterparties and other parties linked to workflows and records; read and written to keep company and vendor master data aligned with a CRM or ERP. Databases is specific to Cloudera Data Platform and Entities to Ironclad — each maps to any object or custom field on the other side.
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. Hive tables is specific to Cloudera Data Platform and Obligations to Ironclad — each maps to any object or custom field on the other side.

How changes propagate between Cloudera Data Platform and Ironclad

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.

Cloudera Data Platform Ironclad Interval-based propagation

DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.

DeliveryEach detected change is written to Ironclad through its API, with automatic retries and rate-limit backoff.

Ironclad Cloudera Data Platform Sub-second propagation

DetectionIronclad notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing.

DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
  • Ironclad: Limits are enforced per account per minute by endpoint: GET Workflows 400 and POST/PATCH Workflows 40; GET Records 600 and POST/PATCH Records 200; GET Entities 600 and POST/PATCH Entities 200; Webhooks 600; all other endpoints 800. Exceeding a limit returns HTTP 429, and Ironclad recommends exponential backoff with jitter.
What ships with Cloudera Data Platform ⇄ Ironclad

Connect Cloudera Data Platform and Ironclad for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Ironclad connection.

Real-time

Two-way sync

Changes in Cloudera Data Platform or Ironclad instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform or Ironclad 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 Cloudera Data Platform or Ironclad record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ Ironclad sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Ironclad.

How the Cloudera Data Platform and Ironclad connectors work

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits

Ironclad

Integration surface
REST/JSON Public API (CLM API) at https://na1.ironcladapp.com/public/api/v1 (NA1 and EU1 regions plus a demo/sandbox), with a native Webhooks subscription API; described by an OpenAPI 3.1 spec.
Authentication
OAuth 2.0 - Authorization Code grant (PKCE for public clients) and Client Credentials grant for server-to-server; access tokens are Bearer, expire after 6 hours, and every endpoint is gated by a resource scope. The legacy static API bearer token was deprecated on 2024-11-22.
Change detection
Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing endpoint up to 10 times over about 13.6 hours with exponential backoff. Otherwise poll the list endpoints by last-updated. There is no database change-data-capture log.
Capabilities
read · write · webhooks
Rate limits
Limits are enforced per account per minute by endpoint: GET Workflows 400 and POST/PATCH Workflows 40; GET Records 600 and POST/PATCH Records 200; GET Entities 600 and POST/PATCH Entities 200; Webhooks 600; all other endpoints 800. Exceeding a limit returns HTTP 429, and Ironclad recommends exponential backoff with jitter.
How it works

How to connect Cloudera Data Platform to Ironclad — 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.

  1. 01

    Connect your apps

    Authenticate Cloudera Data Platform and Ironclad with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Cloudera Data Platform connected
    Ironclad connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform and Ironclad 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Cloudera Data Platform ⇄ Ironclad
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Cloudera Data Platform Ironclad
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Cloudera Data Platform and Ironclad integration FAQ

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

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