Skip to content
Data warehouse ⇄ CRM

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

Keep Cloudera Data Platform and Salesloft 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 Cloudera Data Platform and Salesloft

Sync Salesloft into Cloudera Data Platform continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Calls, Tasks, Meetings, Users from Salesloft land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Salesloft. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Write email and call activity back to the CRM or a Postgres table for a complete engagement timeline.
  • Keep person and account custom fields populated from an enrichment pipeline for personalization tokens.
  • Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
  • Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.

CRM analytics on live data

Accounts, contacts, and activity from Salesloft are queryable in Cloudera Data Platform moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Cloudera Data Platform appear as fields in Salesloft, where the people working accounts actually see them.

A single customer view

Join Salesloft's relationship data with billing, product, and support data in Cloudera Data Platform to build the customer picture the CRM alone cannot hold.

What you can sync between Cloudera Data Platform and Salesloft

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 Salesloft objects
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Meetings Booked meeting records tied to people and users.
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Users Seller records used for ownership mapping and activity attribution.
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. Custom Fields Per-person and per-account fields commonly populated by enrichment syncs for personalization.
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. People Prospect records with contact data and CRM ID mappings, the primary sync target.
Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Accounts Company records mirrored from the CRM for account-based workflows.
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Cadences Multi-step outreach sequences that people are enrolled in and reported on.
What ships with Cloudera Data Platform ⇄ Salesloft

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

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

Real-time

Two-way sync

Changes in Cloudera Data Platform or Salesloft 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 Salesloft 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 Salesloft record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ Salesloft 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 Salesloft.

How the Cloudera Data Platform and Salesloft 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

Salesloft

Integration surface
REST API (v2)
Authentication
OAuth 2.0
Change detection
Webhook event subscriptions plus polling on updated_at timestamps
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-minute API rate limits
How it works

How to connect Cloudera Data Platform to Salesloft — 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 Salesloft 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
    Salesloft connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform and Salesloft 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 ⇄ Salesloft
    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 Salesloft
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Cloudera Data Platform and Salesloft integration FAQ

SECURITY

Security teams love 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 386 integrations available for Cloudera Data Platform and Salesloft.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.