Real-time
Two-way sync
Changes in Autopilot or SingleStore instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ Database
Autopilot to SingleStore integration — real-time, two-way sync
Keep Autopilot and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Autopilot and SingleStore
Sync the records in SingleStore 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. SingleStore 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 SingleStore it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Reference Tables, Pipelines, Stored Procedures, Indexes and Shard Keys in SingleStore with Journeys (Triggers), Activities, Contacts, Lists in Autopilot in real time. Rows created or changed in SingleStore 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 SingleStore, 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 SingleStore 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 Add contacts to a Journey from a database event or CRM stage change to start automated onboarding or nurture sequences.
- 02 Mirror List and Smart Segment membership into a warehouse to power attribution and audience analytics alongside other sources.
- 03 Feed synced operational data into applications that need low-latency responses over fresh data.
- 04 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.
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 SingleStore, next to the source data your applications already query.
Keep derived data fresh as sources change
When a row in SingleStore 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 SingleStore 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 SingleStore
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 | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Lists is specific to Autopilot and Indexes and Shard Keys to SingleStore — 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. | Databases The connection target containing the tables a sync addresses. | Custom Fields is specific to Autopilot and Databases to SingleStore — 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. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Smart Segments is specific to Autopilot and Tables (rowstore and columnstore) to SingleStore — 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. | Views Read-only projections used as curated sync sources. | Journeys (Triggers) is specific to Autopilot and Views to SingleStore — 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. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Activities is specific to Autopilot and Reference Tables to SingleStore — each maps to any object or custom field on the other side. | |
| Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Contacts is specific to Autopilot and Pipelines to SingleStore — each maps to any object or custom field on the other side. |
How changes propagate between Autopilot and SingleStore
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 SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
SingleStore Autopilot Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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.
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Autopilot ⇄ SingleStore
Connect Autopilot and SingleStore for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–SingleStore connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Autopilot or SingleStore 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 SingleStore record.
Observability
Monitoring
Track your Autopilot ⇄ SingleStore 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 SingleStore.
How the Autopilot and SingleStore 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.
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
How it works
How to connect Autopilot to SingleStore — 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 SingleStore 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
SingleStore
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Autopilot and SingleStore 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 ⇄ SingleStoreCustomers 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 SingleStoreCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Autopilot and SingleStore integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and SingleStore: authenticate both systems, choose the objects to sync (such as Autopilot's Lists and Custom Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Autopilot and SingleStore 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 Autopilot and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–SingleStore integration in-house.
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Yes — Stacksync ships production-grade connectors for both Autopilot and SingleStore. 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 SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. 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: Journeys (Triggers), Activities, Contacts, Lists, plus custom fields where Autopilot exposes them. On the SingleStore side: Reference Tables, Pipelines, Stored Procedures, Indexes and Shard Keys. Stacksync auto-detects both schemas and converts types between the two systems.
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 422 integrations available for Autopilot and SingleStore.
Popular · 7 of 422
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Autopilot ⇄ OCI Database (Oracle Cloud) -
Autopilot ⇄ OpenSearch -
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SingleStore ⇄ Openai -
SingleStore ⇄ Azure OpenAI -
SingleStore ⇄ Pinecone
No integrations match .
