Real-time
Two-way sync
Changes in Autopilot or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ Database
Autopilot to Redis Enterprise integration — real-time, two-way sync
Keep Autopilot and Redis Enterprise 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 Autopilot and Redis Enterprise
Sync the records in Redis Enterprise into Autopilot and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.
AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. Redis Enterprise is where those source records actually live. The bridge between the two is the row itself, since an item in Autopilot and the record in Redis Enterprise it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Streams, Pub/Sub channels, Search indexes, Keys (Strings) in Redis Enterprise with Contacts, Lists, Custom Fields, Smart Segments in Autopilot in real time. Rows created or changed in Redis Enterprise flow into Autopilot so inference and embedding run on current data, and the scores, labels, and generated fields Autopilot produces flow back onto the matching rows in Redis Enterprise, mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.
Because matching is by a stable identifier, every row in Redis Enterprise stays tied to its AI-side counterpart in Autopilot. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.
Common use cases
- 01 Upsert Contacts from a CRM or product database into Autopilot so new signups and profile changes flow into email and SMS journeys without manual CSV imports.
- 02 Add contacts to a Journey from a database event or CRM stage change to start automated onboarding or nurture sequences.
- 03 Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
- 04 Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
Common sync patterns
Write results back onto the record
Scores, labels, extracted fields, or generated text produced in Autopilot land on the matching row in Redis Enterprise, next to the source data your applications already query.
Keep derived data fresh as sources change
When a row in Redis Enterprise is updated or removed, its counterpart in Autopilot is updated or removed too, so nothing in Autopilot describes a record that has since changed or gone.
Backfill once, then stay in step
Load your existing rows from Redis Enterprise into Autopilot to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.
What you can sync between Autopilot and Redis Enterprise
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.
| Autopilot objects | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Contacts is specific to Autopilot and Pub/Sub channels to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Custom Fields is specific to Autopilot and Search indexes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Smart Segments is specific to Autopilot and Keys (Strings) to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Journeys (Triggers) is specific to Autopilot and Hashes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Activities is specific to Autopilot and JSON documents to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between Autopilot and Redis Enterprise
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.
Autopilot Redis Enterprise Interval-based propagation
DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.
DeliveryEach detected change is applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise Autopilot Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
DeliveryEach detected change is written to Autopilot through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Autopilot: The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Autopilot ⇄ Redis Enterprise
Connect Autopilot and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Autopilot or Redis Enterprise 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 Autopilot or Redis Enterprise record.
Observability
Monitoring
Track your Autopilot ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Autopilot and Redis Enterprise.
How the Autopilot and Redis Enterprise connectors work
Autopilot
- Integration surface
- REST API (Autopilot v1); Autopilot rebranded to Ortto in 2021 and the newer Ortto API co-exists with the legacy Autopilot endpoints
- Authentication
- Per-account API key sent in the autopilotapikey request header (generated in account settings); requests use Content-Type application/json against https://api2.autopilothq.com/v1/
- Change detection
- No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path.
- Capabilities
- read · write
- Rate limits
- The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Autopilot to Redis Enterprise — 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 Autopilot and Redis Enterprise with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Autopilot
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Autopilot and Redis Enterprise 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 · Autopilot ⇄ Redis EnterpriseCustomers 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.
Autopilot Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Autopilot and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Autopilot's Lists and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Autopilot and Redis Enterprise. 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 Autopilot: No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Autopilot side: Contacts, Lists, Custom Fields, Smart Segments, plus custom fields where Autopilot exposes them. On the Redis Enterprise side: Streams, Pub/Sub channels, Search indexes, Keys (Strings). Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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
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 407 integrations available for Autopilot and Redis Enterprise.
Popular · 7 of 407
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Autopilot ⇄ Couchbase -
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Redis Enterprise ⇄ Pinecone -
Redis Enterprise ⇄ Openai -
Redis Enterprise ⇄ Azure OpenAI
No integrations match .
