Real-time
Two-way sync
Changes in Agiloft or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Agiloft to Elasticsearch integration — real-time, two-way sync
Keep Agiloft and Elasticsearch in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Agiloft and Elasticsearch
Mirror Agiloft's data into Elasticsearch so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Agiloft 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 Attachments, Approvals, Tasks, Clause Library from Agiloft into Index templates, Indices, Documents, Index mappings 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 Agiloft, so the tool and the database never disagree.
Common use cases
- 01 Push generated documents and executed PDFs into Agiloft Attachments from a document system, or pull signed contracts out for archival.
- 02 Stream Approvals and Tasks into an operational database for cycle-time, bottleneck, and SLA reporting across the contract lifecycle.
- 03 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- 04 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Agiloft with a query
Records from Agiloft are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
Automate Agiloft from your codebase
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Agiloft, replacing custom integration code.
What you can sync between Agiloft and Elasticsearch
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.
| Agiloft objects | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| Custom tables Agiloft is a no-code platform, so any customer-built table (NDAs, SOWs, vendor risk, renewals) exposes the same REST and SOAP CRUD and syncs like the standard CLM tables. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Custom tables is specific to Agiloft and Indices to Elasticsearch — each maps to any object or custom field on the other side. | |
| Contracts The core table holding contract records with value, key dates, status, type, and linked parties; created and updated two-way so contract data moves between Agiloft and a database, ERP, or CRM. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Contracts is specific to Agiloft and Documents to Elasticsearch — each maps to any object or custom field on the other side. | |
| Companies Records for every organization - counterparties, vendors, customers - linked to contracts and people; read and written to keep account master data aligned with a CRM or ERP. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Companies is specific to Agiloft and Index mappings to Elasticsearch — each maps to any object or custom field on the other side. | |
| People Parent table for individuals, split into Employees (internal users) and Contacts (external company contacts); synced to map signers, approvers, and account owners to CRM or HR records. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | People is specific to Agiloft and Aliases to Elasticsearch — each maps to any object or custom field on the other side. | |
| Attachments File records holding the executed contract PDFs and supporting documents linked to a contract; read to pull signed files out, or written to push generated documents in. | Data streams Append-only targets for time-series or event data pushed from source systems. | Attachments is specific to Agiloft and Data streams to Elasticsearch — each maps to any object or custom field on the other side. | |
| Approvals Per-record approval instances generated from Approval Templates and Workflows; read to report approval status and cycle time, or written to trigger and record decisions. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Approvals is specific to Agiloft and Ingest pipelines to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between Agiloft and Elasticsearch
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.
Agiloft Elasticsearch Sub-second propagation
DetectionAgiloft notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch Agiloft Interval-based propagation
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 Agiloft through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Agiloft: Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Agiloft ⇄ Elasticsearch
Connect Agiloft and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Agiloft or Elasticsearch 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 Agiloft or Elasticsearch record.
Observability
Monitoring
Track your Agiloft ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Agiloft and Elasticsearch.
How the Agiloft and Elasticsearch connectors work
Agiloft
- Integration surface
- REST API (/ewws/rest/{kb}) and SOAP/EWS v2 web services (EWWSv2Service WSDL), plus a native Webhooks subscription API
- Authentication
- OAuth 2.0 via OAuth2 Client Setup - Authorization Code with PKCE for user-delegated apps and Client Credentials for machine-to-machine; also JWT tokens or Basic Auth with a session token from POST /ewws/rest/{kb}/login
- Change detection
- Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log.
- Capabilities
- read · write · webhooks
- Rate limits
- Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works
How to connect Agiloft to Elasticsearch — 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 Agiloft and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Agiloft
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Agiloft and Elasticsearch 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 · Agiloft ⇄ ElasticsearchCustomers 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.
Agiloft ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Agiloft and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Agiloft and Elasticsearch: authenticate both systems, choose the objects to sync (such as Agiloft's Custom tables and Contracts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Agiloft: The People table is a parent split into Employees (internal users) and Contacts (external company contacts), both linked to Companies and Contracts. Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Stacksync's field mapping accounts for these differences between Agiloft and Elasticsearch without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Agiloft and Elasticsearch records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Agiloft and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Agiloft–Elasticsearch integration in-house.
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Yes — Stacksync ships production-grade connectors for both Agiloft and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Agiloft: Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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 421 integrations available for Agiloft and Elasticsearch.
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