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Data warehouse

Connect Apache Pinot to any app with two-way sync.

Two-way sync Apache Pinot across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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 Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Object catalog

What Stacksync syncs in Apache Pinot.

These objects sync between Apache Pinot and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Apache Pinot exposes them.

Tables
The queryable unit, defined as offline, real-time, or hybrid; the main read target.
Schemas
Column definitions (dimensions, metrics, time columns) mapped during integration setup.
Segments
Immutable data files that batch ingestion uploads and the cluster serves.
Real-time Tables
Tables fed continuously from streams like Kafka, including upsert-enabled tables.
Offline Tables
Batch-loaded tables merged with real-time data at query time.
Indexes
Inverted, range, and star-tree indexes that determine which sync queries run at low latency.
Tenants
Logical groupings that isolate workloads on shared clusters.
API surface

How Stacksync connects to Apache Pinot.

The connector runs on Apache Pinot's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Apache Pinot

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

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

Real-time

Two-way sync

Changes in Apache Pinot instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot 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 record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Apache Pinot connector.

Pinot is run by data and platform engineering teams building user-facing, real-time analytics: in-product dashboards, metrics APIs, and customer-facing reporting served at sub-second latency to high concurrency. It ingests from streams (Kafka, Kinesis, Pulsar) and batch sources (Hadoop, S3), sitting downstream of the event stream and directly upstream of production applications. Its gravity is the fresh event data in Real-time and Offline Tables that live product features query on every page load.

  • Data engineering
  • Product analytics teams
  • Platform engineering
  • Analytics engineering
  1. Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.

  2. Push reference and dimension data into Pinot via batch segment loads to enrich event queries.

  3. Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.

  4. Serve user-facing analytics from Pinot while syncing daily rollups to finance and ops tools.

  5. Keep upsert-enabled real-time tables aligned with mutable operational records streamed from source systems.

  6. Push account-level aggregates from Pinot Tables into an operational database or CRM so product usage informs sales and customer success workflows.

All Apache Pinot integrations

Pick the system you need to keep in sync with Apache Pinot. Each page covers the sync setup, field mapping, and common workflows for that pair.

How it works

Set up Apache Pinot in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Pinot objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp

FAQ

Apache Pinot connector FAQ

What can I sync with the Apache Pinot connector?

Apache Pinot's core objects — Tables, Schemas, Segments, Real-time Tables and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Apache Pinot?

Via REST API (SQL queries via the broker; administration via the controller); JDBC client available, authenticated with Deployment-dependent: HTTP basic authentication or token-based auth where enabled. Changes are detected as follows — not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Apache Pinot connector two-way?

Yes. Changes made in Apache Pinot propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an Apache Pinot integration take to set up?

Most Apache Pinot integrations go live in minutes: authenticate Apache Pinot and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Apache Pinot data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Apache Pinot data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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:

Coworkers laughing in front of a laptop in a casual office setting

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