Two-way sync
Changes in Adobe Sign or Apache Hive instantly reflect in both systems. No stale data, no manual imports.
Keep Adobe Sign and Apache Hive in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Adobe Sign is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Users, Groups, Agreements, Agreement Form Field Data from Adobe Sign into tables in Apache Hive continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Hive can also be written back into fields in Adobe Sign where the tool can use them.
Records and events from Adobe Sign land in Apache Hive as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Adobe Sign's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Apache Hive sync back onto records in Adobe Sign, putting analysis where the work happens.
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.
| Adobe Sign objects | Apache Hive objects | How this pairing syncs | |
|---|---|---|---|
| Users Account users; provisioned and updated two-way from an HR system or identity provider. | Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Users is specific to Adobe Sign and Metastore Catalog to Apache Hive — each maps to any object or custom field on the other side. | |
| Groups Organizational groups that scope sharing and settings; synced from org structure or an IdP. | Databases Metastore namespaces that scope tables and grants. | Groups is specific to Adobe Sign and Databases to Apache Hive — each maps to any object or custom field on the other side. | |
| Agreements The core e-signature transaction; created and sent from other systems, then read back for status (out-for-signature, signed, cancelled) and the completed PDF. | Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | Agreements is specific to Adobe Sign and Managed Tables to Apache Hive — each maps to any object or custom field on the other side. | |
| Agreement Form Field Data Merge fields prefilled at send and values captured from signers; read into a database so contract terms and inputs are queryable. | External Tables Tables over existing files in HDFS or object storage, read without moving data. | Agreement Form Field Data is specific to Adobe Sign and External Tables to Apache Hive — each maps to any object or custom field on the other side. | |
| Agreement Events Per-agreement audit trail of every action (viewed, delegated, signed); read-only, synced into compliance stores. | Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. | Agreement Events is specific to Adobe Sign and Partitions to Apache Hive — each maps to any object or custom field on the other side. | |
| Library Templates Reusable document templates (libraryDocuments); referenced when creating Agreements and synced for template governance. | Views Logical views readable as modeled sources. | Library Templates is specific to Adobe Sign and Views to Apache Hive — 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.
DetectionAdobe Sign notifies Stacksync of record changes through webhook events. Webhooks (REST v6 webhook subscriptions) fire near-real-time on agreement events such as created, action requested, completed, and cancelled.
DeliveryEach detected change is applied to Apache Hive as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.
DeliveryEach detected change is written to Adobe Sign through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobe Sign–Apache Hive connection.
Changes in Adobe Sign or Apache Hive instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Adobe Sign or Apache Hive data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Adobe Sign or Apache Hive record.
Track your Adobe Sign ⇄ Apache Hive sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Adobe Sign and Apache Hive.
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 Adobe Sign and Apache Hive 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 Adobe Sign and Apache Hive 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 Adobe Sign and Apache Hive: authenticate both systems, choose the objects to sync (such as Adobe Sign's Users and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Adobe Sign: Webhooks (REST v6 webhook subscriptions) fire near-real-time on agreement events such as created, action requested, completed, and cancelled; polling GET /agreements by modifiedDate is the fallback. On Apache Hive: Polling on partition values or timestamp columns; no general-purpose change log for external consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Adobe Sign side: Users, Groups, Agreements, Agreement Form Field Data, plus custom fields where Adobe Sign exposes them. On the Apache Hive side: Databases, Managed Tables, External Tables, Partitions. 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 Adobe Sign and Apache Hive: Analytics on Adobe Sign's data; Cross-tool reporting; Where Adobe Sign accepts updates: operational write-back. Records and events from Adobe Sign land in Apache Hive as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Adobe Sign: REST API v6 (JSON). Authentication: OAuth 2.0 authorization-code flow with granular per-resource scopes (agreement_read, agreement_write, agreement_send, user_read, user_write, webhook_read, webhook_write); legacy Integration Keys also supported. Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. 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 445 integrations available for Adobe Sign and Apache Hive.