Real-time
Two-way sync
Changes in Apache Pinot or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Apache Pinot to Kustomer integration — real-time, two-way sync
Keep Apache Pinot and Kustomer 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 Apache Pinot and Kustomer
Sync Kustomer 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. Users, Teams, Tags, Notes from Kustomer land in Apache Pinot as live tables, updated within seconds, and columns computed in Apache Pinot write back to fields in Kustomer. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Sync customers bi-directionally with the CRM and ERP so agents see deal, billing, and subscription context on the timeline
- Push order and shipment records from commerce systems into Kustomer custom objects so agents answer order-status questions without switching tools
- Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.
- Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
CRM analytics on live data
Accounts, contacts, and activity from Kustomer are queryable in Apache Pinot 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 Apache Pinot appear as fields in Kustomer, where the people working accounts actually see them.
A single customer view
Join Kustomer's relationship data with billing, product, and support data in Apache Pinot to build the customer picture the CRM alone cannot hold.
What you can sync between Apache Pinot and Kustomer
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 | Kustomer objects | |
|---|---|---|
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Customers The central record whose timeline aggregates every interaction; external attributes sync onto it. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Conversations Support threads across channels sync outward for analytics and CRM context. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Messages Individual messages within conversations support full-thread replication. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Companies Organization records group customers and map to CRM accounts. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Custom Objects (Klasses) Structured external records such as orders and subscriptions synced in to appear on the customer timeline. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Users Agent records map conversation ownership to people in other systems. |
What ships with Apache Pinot ⇄ Kustomer
Connect Apache Pinot and Kustomer for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Kustomer connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Pinot or Kustomer 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 Kustomer record.
Observability
Monitoring
Track your Apache Pinot ⇄ Kustomer 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 Kustomer.
How the Apache Pinot and Kustomer 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
Kustomer
- Integration surface
- REST API
- Authentication
- API key used as a bearer token, scoped by role
- Change detection
- Outbound webhooks on record events, plus polling for backfill
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Apache Pinot to Kustomer — 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.
- 01
Connect your apps
Authenticate Apache Pinot and Kustomer with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Pinot
connected
Kustomer
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Pinot and Kustomer 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.
objects · Apache Pinot ⇄ KustomerCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Pinot KustomerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Pinot and Kustomer integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Pinot and Kustomer: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Kustomer side: Users, Teams, Tags, Notes, plus custom fields where Kustomer exposes them. On the Apache Pinot side: Tables, Schemas, Segments, Real-time Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Apache Pinot and Kustomer: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from Kustomer are queryable in Apache Pinot moments after they change, so dashboards stop lagging the reality they describe.
-
Apache Pinot: 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. Kustomer: REST API. Authentication: API key used as a bearer token, scoped by role. Stacksync manages authentication, retries, and rate limits on both sides.
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Kustomer: Custom object types are called Klasses, and they are the standard mechanism for landing external data like orders and subscriptions where agents work. Apache Pinot: Pinot separates offline and real-time tables and merges them at query time through the broker, so one logical table can span batch history and fresh stream data. Stacksync's field mapping accounts for these differences between Apache Pinot and Kustomer without custom code.
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 Apache Pinot and Kustomer.
Popular · 8 of 386
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Apache Pinot ⇄ Salesmate -
Apache Pinot ⇄ SAP Sales Cloud -
Apache Pinot ⇄ Streak CRM -
Apache Pinot ⇄ SugarCRM -
Kustomer ⇄ Apache Druid -
Kustomer ⇄ Apache Hive -
Kustomer ⇄ Apache Impala -
Kustomer ⇄ Apache Kylin
No integrations match .
