Skip to content
Data warehouse ⇄ CRM

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

Keep Apache Pinot and Gladly 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 Gladly

Sync Gladly 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. Customer profiles, Conversations, Conversation items, Agents from Gladly land in Apache Pinot as live tables, updated within seconds, and columns computed in Apache Pinot write back to fields in Gladly. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
  • Mirror conversations and topics into a warehouse for CX analytics and staffing models.
  • Keep upsert-enabled real-time tables aligned with mutable operational records streamed from source systems.
  • Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.

CRM analytics on live data

Accounts, contacts, and activity from Gladly 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 Gladly, where the people working accounts actually see them.

A single customer view

Join Gladly'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 Gladly

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 Gladly objects
Offline Tables Batch-loaded tables merged with real-time data at query time. Topics Categorization applied to conversations; the key dimension for contact-driver reporting.
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Tasks Follow-up work items created from external triggers or synced for workload reporting.
Tenants Logical groupings that isolate workloads on shared clusters. Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses.
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Agents User records used to attribute work in CX analytics.
What ships with Apache Pinot ⇄ Gladly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Gladly 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 Gladly record.

Observability

Monitoring

Track your Apache Pinot ⇄ Gladly 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 Gladly.

How the Apache Pinot and Gladly 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

Gladly

Integration surface
REST API
Authentication
API tokens used with basic authentication tied to an agent email
Change detection
Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

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

    Choose tables

    Pick the Apache Pinot and Gladly 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 ⇄ Gladly
    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 Gladly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Apache Pinot and Gladly 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 Gladly.

Popular · 8 of 386
All Apache Pinot integrations All Gladly integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

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

Book a demo Tour the platform on your own