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Data warehouse ⇄ CRM

Apache Pinot to Nimble integration — real-time, two-way sync

Keep Apache Pinot and Nimble 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

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Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Pinot and Nimble

Sync Nimble into Apache Pinot 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. Deals, Tasks, Activities, Notes from Nimble land in Apache Pinot as live tables, updated within seconds, and columns computed in Apache Pinot write back to fields in Nimble. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Sync Nimble contacts and companies into Postgres so ops teams can query socially enriched profile data with SQL.
  • Push product usage or billing flags from internal databases into Nimble custom fields so reps have context before outreach.
  • Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
  • Serve user-facing analytics from Pinot while syncing daily rollups to finance and ops tools.

A single customer view

Join Nimble's relationship data with billing, product, and support data in Apache Pinot to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Apache Pinot can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Nimble are queryable in Apache Pinot moments after they change, so dashboards stop lagging the reality they describe.

What you can sync between Apache Pinot and Nimble

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.

Apache Pinot objects Nimble objects
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Companies Stored as contact records with a company record type, so they sync through the same contacts resource
Segments Immutable data files that batch ingestion uploads and the cluster serves. Deals Pipeline records linked to contacts, synced to keep revenue systems aligned with sales activity
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Tasks To-do items tied to contacts, mirrored into work-management tools or reporting tables
Offline Tables Batch-loaded tables merged with real-time data at query time. Activities Calls, events, and interaction history used for engagement reporting outside Nimble
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Notes Free-text records attached to contacts, replicated for a complete account timeline
Tenants Logical groupings that isolate workloads on shared clusters. Tags Segmentation labels that map to list membership or filters in downstream systems
What ships with Apache Pinot ⇄ Nimble

Connect Apache Pinot and Nimble for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Nimble connection.

Real-time

Two-way sync

Changes in Apache Pinot or Nimble instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Nimble 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 Apache Pinot or Nimble record.

Observability

Monitoring

Track your Apache Pinot ⇄ Nimble sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Pinot and Nimble.

How the Apache Pinot and Nimble connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

Nimble

Integration surface
REST API (JSON)
Authentication
API key; OAuth 2.0 available for registered applications
Change detection
polling on record modification timestamps
Capabilities
read · write
Rate limits
subject to per-account API request quotas
How it works

How to connect Apache Pinot to Nimble — 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 Apache Pinot and Nimble 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
    Apache Pinot connected
    Nimble connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Pinot and Nimble 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 · Apache Pinot ⇄ Nimble
    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
    Apache Pinot Nimble
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Pinot and Nimble 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Pinot and Nimble.

Popular · 8 of 386
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