Two-way sync
Changes in Elasticsearch or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch and Zuora in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Usage, Order and Amendment, Account (Billing Account), Subscription from Zuora into Data streams, Ingest pipelines, Index templates, Indices in Elasticsearch and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Elasticsearch, and rows your code writes or updates flow back into Zuora with validation, so the finance system stays the system of record.
Changes in Zuora appear in Elasticsearch as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Zuora live in Elasticsearch as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Elasticsearch; Stacksync handles the API calls, rate limits, and retries against Zuora.
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.
| Elasticsearch objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Subscription Recurring or usage-based subscription tied to an Account; read for revenue state and written when provisioning or changing plans from a CRM or app. | Index mappings is specific to Elasticsearch and Subscription to Zuora — each maps to any object or custom field on the other side. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Rate Plan and Rate Plan Charge The priced components inside a Subscription; synced so charge amounts, quantities, and effective dates stay aligned with the source system. | Aliases is specific to Elasticsearch and Rate Plan and Rate Plan Charge to Zuora — each maps to any object or custom field on the other side. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Product and Product Rate Plan (Product Catalog) The catalog of sellable products and their pricing; usually mastered elsewhere and written into Zuora, or read to map subscription charges. | Data streams is specific to Elasticsearch and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Invoice Billing documents generated from rate plan charges and order line items; typically read out into an ERP or GL for revenue recognition and reconciliation. | Ingest pipelines is specific to Elasticsearch and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Index templates is specific to Elasticsearch and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Indices is specific to Elasticsearch and Usage to Zuora — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is written to Zuora through its API, with automatic retries and rate-limit backoff.
DetectionZuora notifies Stacksync of record changes through webhook events. Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Zuora connection.
Changes in Elasticsearch or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch or Zuora data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Elasticsearch or Zuora record.
Track your Elasticsearch ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Zuora.
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.
Authenticate Elasticsearch and Zuora with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Elasticsearch and Zuora 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Zuora: authenticate both systems, choose the objects to sync (such as Elasticsearch's Index mappings and Aliases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Zuora: Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for event-driven changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zuora side: Usage, Order and Amendment, Account (Billing Account), Subscription, plus custom fields where Zuora exposes them. On the Elasticsearch side: Data streams, Ingest pipelines, Index templates, Indices. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Elasticsearch and Zuora: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Zuora appear in Elasticsearch as row changes, so you can trigger downstream logic with the database tooling you already use.
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Zuora: REST API (v1) with Object Query, Data Query, and AQuA bulk export; legacy SOAP API also available. Authentication: OAuth 2.0 client credentials (bearer token, 3600s expiry); access is governed by the Zuora role of the OAuth client's associated user, with no granular scopes. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 515 integrations available for Elasticsearch and Zuora.