Two-way sync
Changes in Elasticsearch or Ironclad instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch and Ironclad 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 integrate with tools like Ironclad through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Elasticsearch.
Stacksync mirrors Records, Entities, Obligations, Webhooks from Ironclad into Documents, Index mappings, Aliases, Data streams in Elasticsearch and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Ironclad, so the tool and the database never disagree.
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Ironclad, replacing custom integration code.
Updates in Ironclad arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | Ironclad objects | How this pairing syncs | |
|---|---|---|---|
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Signature Packets The e-signature packets on a workflow (sent, signatures collected, fully signed); read to track signing progress, with packet events delivered by webhook for real-time status. | Aliases is specific to Elasticsearch and Signature Packets to Ironclad — 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. | Workflow Documents Draft and executed documents attached to a workflow; retrieved to pull generated or signed files out into a document store or archive. | Data streams is specific to Elasticsearch and Workflow Documents to Ironclad — 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. | Workflows The core unit of Ironclad: a live contract process (NDA, MSA, order form) moving through creation, review, approval, and signature. Launched via POST, updated via PATCH, and read for status, so contract processes move two-way between Ironclad and a database, CRM, or ERP. | Ingest pipelines is specific to Elasticsearch and Workflows to Ironclad — 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. | Records The Repository of executed and stored contracts with metadata (value, counterparty, key dates, type) and attachments; full create, read, update, and delete so signed-contract data and PDFs sync to a warehouse, ERP, or CRM. | Index templates is specific to Elasticsearch and Records to Ironclad — 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. | Entities Structured records for counterparties and other parties linked to workflows and records; read and written to keep company and vendor master data aligned with a CRM or ERP. | Indices is specific to Elasticsearch and Entities to Ironclad — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. | Documents is specific to Elasticsearch and Obligations to Ironclad — 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 Ironclad through its API, with automatic retries and rate-limit backoff.
DetectionIronclad notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing.
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–Ironclad connection.
Changes in Elasticsearch or Ironclad instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch or Ironclad 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 Ironclad record.
Track your Elasticsearch ⇄ Ironclad sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Ironclad.
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 Ironclad 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 Ironclad 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 Ironclad: authenticate both systems, choose the objects to sync (such as Elasticsearch's Aliases and Data streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Ironclad side: Records, Entities, Obligations, Webhooks, plus custom fields where Ironclad exposes them. On the Elasticsearch side: Documents, Index mappings, Aliases, Data streams. 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 Ironclad: Automate Ironclad from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Elasticsearch and Stacksync propagates the change into Ironclad, replacing custom integration code.
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Ironclad: REST/JSON Public API (CLM API) at https://na1.ironcladapp.com/public/api/v1 (NA1 and EU1 regions plus a demo/sandbox), with a native Webhooks subscription API; described by an OpenAPI 3.1 spec. Authentication: OAuth 2.0 - Authorization Code grant (PKCE for public clients) and Client Credentials grant for server-to-server; access tokens are Bearer, expire after 6 hours, and every endpoint is gated by a resource scope. The legacy static API bearer token was deprecated on 2024-11-22. Stacksync manages authentication, retries, and rate limits on both sides.
Ironclad: Ironclad has a native webhooks API with 40+ event types and retries a failing endpoint up to 10 times over about 13.6 hours; there is no database change-data-capture log. Elasticsearch: Optimistic concurrency uses _seq_no and _primary_term instead of row locks, which matters when two writers touch the same document. Stacksync's field mapping accounts for these differences between Elasticsearch and Ironclad without custom code.
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 525 integrations available for Elasticsearch and Ironclad.