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Data warehouse ⇄ CRM

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

Keep Apache Pinot and Streak CRM 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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Why teams connect Apache Pinot and Streak CRM

Sync Streak CRM 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. Organizations, Tasks, Email threads, Custom fields from Streak CRM land in Apache Pinot as live tables, updated within seconds, and columns computed in Apache Pinot write back to fields in Streak CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Hand off closed-won boxes to billing or fulfillment systems and sync status back into the pipeline
  • Keep contacts aligned between Streak and email marketing or enrichment tools
  • Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
  • Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.

A single customer view

Join Streak CRM'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 Streak CRM 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 Streak CRM

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 Streak CRM objects
Segments Immutable data files that batch ingestion uploads and the cluster serves. Pipelines Define the process and the custom field schema that boxes in them carry.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Boxes The core record (a deal, hire, or project) tracked through pipeline stages.
Offline Tables Batch-loaded tables merged with real-time data at query time. Stages Pipeline steps whose transitions are the usual trigger for downstream syncs.
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Contacts People linked to boxes, synced with marketing and support tools.
Tenants Logical groupings that isolate workloads on shared clusters. Organizations Company records associated with contacts and boxes.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Tasks To-dos attached to boxes for follow-up tracking.
What ships with Apache Pinot ⇄ Streak CRM

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Streak CRM 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 Streak CRM record.

Observability

Monitoring

Track your Apache Pinot ⇄ Streak CRM 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 Streak CRM.

How the Apache Pinot and Streak CRM 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

Streak CRM

Integration surface
REST API
Authentication
API key issued per user
Change detection
Polling against pipeline, box, and contact endpoints; Streak's automations can send outbound webhooks on higher plans
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits; quotas are not prominently published
How it works

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

    Choose tables

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

Apache Pinot and Streak CRM 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 Streak CRM.

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