Real-time sync
Changes in Anthropic or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Anthropic and Azure Synapse Analytics in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Anthropic is a read-only source: Stacksync reads its data in real time and delivers it into Azure Synapse Analytics, so Azure Synapse Analytics always reflects the current state of Anthropic — without exports, scripts, or schedulers.
Azure Synapse Analytics holds the raw records the business runs on; Anthropic turns those records into embeddings, scores, labels, and summaries. The two meet wherever a warehouse row needs to be enriched by a model and the result needs somewhere durable to live. Most teams stitch that meeting together with export scripts and a queue, then spend their time keeping the glue alive.
The payoff is that model output stops living in a separate place from the data it describes. Once results sit in Azure Synapse Analytics, they join against billing, product, and usage tables already there, so you can report on quality, cost, and coverage without moving anything by hand.
Combine Anthropic's output with the tables already in Azure Synapse Analytics to report on model quality, cost, and coverage without exporting anything to a spreadsheet.
A continuously synced copy in Azure Synapse Analytics preserves every generated result, so outputs stay auditable even as they are overwritten or expire inside Anthropic.
Rows added or changed in Azure Synapse Analytics flow into Anthropic within seconds, so embeddings, classifications, and enrichments are computed on current data rather than a nightly extract.
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.
| Anthropic objects | Azure Synapse Analytics objects | How this pairing syncs | |
|---|---|---|---|
| Workspaces Organization workspaces from the Admin API (/v1/organizations/workspaces); synced read-mostly so usage, keys, and members can be mapped to the workspace they belong to. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Workspaces is specific to Anthropic and SQL pools to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Organization Members Users in the organization with their role from /v1/organizations/users; read into an IdP or HR database for access auditing rather than written back. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Organization Members is specific to Anthropic and Tables (dedicated SQL pool) to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| API Keys Key metadata — name, owning workspace, status, creator — from /v1/organizations/api_keys; the secret value is never returned. Read-only, useful for a security key inventory. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | API Keys is specific to Anthropic and External tables to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Invites Pending organization invitations from /v1/organizations/invites; read to track who has been invited to the org but has not yet accepted. | Views Curated projections used when downstream tools should not read base tables directly. | Invites is specific to Anthropic and Views to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Message Batches Asynchronous batch jobs at /v1/messages/batches; the connector polls processing_status and reads per-request results keyed by custom_id once a batch has ended. | Schemas Namespaces that separate staging, integration, and presentation layers. | Message Batches is specific to Anthropic and Schemas to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Models Claude model catalog from /v1/models with model IDs, context window, max output, and capability flags; snapshotted into a config table so applications avoid hardcoding model IDs. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Models is specific to Anthropic and Materialized views to Azure Synapse Analytics — 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 Anthropic for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
DeliveryAnthropic does not accept inbound record writes, so this direction carries requests rather than records: Anthropic's output flows back as field updates on the originating Azure Synapse Analytics records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anthropic–Azure Synapse Analytics connection.
Changes in Anthropic or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Anthropic or Azure Synapse Analytics data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Anthropic or Azure Synapse Analytics record.
Track your Anthropic ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Anthropic and Azure Synapse Analytics.
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 Anthropic and Azure Synapse Analytics 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 Anthropic and Azure Synapse Analytics 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 integration between Anthropic and Azure Synapse Analytics — Anthropic is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
On the Anthropic side: Message Batches, Models, Usage Report (messages), Cost Report, plus custom fields where Anthropic exposes them. On the Azure Synapse Analytics side: Materialized views, SQL pools, Tables (dedicated SQL pool), External tables. Stacksync auto-detects both schemas and converts types between the two systems.
Anthropic is a read-only source, so this integration runs one-way: Stacksync reads from Anthropic in real time and delivers into Azure Synapse Analytics. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Anthropic and Azure Synapse Analytics: One place to analyze AI results; History that outlives a run; Feed live warehouse records to Anthropic. Combine Anthropic's output with the tables already in Azure Synapse Analytics to report on model quality, cost, and coverage without exporting anything to a spreadsheet.
Anthropic: REST — Messages API at api.anthropic.com/v1 plus the Admin API (/v1/organizations/*) for organization, usage, and cost data. Authentication: API key in the x-api-key header for Messages, Models, Files, and Batches endpoints; the Admin API requires a separate Admin API key (sk-ant-admin...) with organization-admin permission. Every request also sends an anthropic-version header. Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. Stacksync manages authentication, retries, and rate limits on both sides.
Anthropic: API key objects expose metadata only — name, workspace, status, and a partial hint; the secret value is never returned by the API. Azure Synapse Analytics: The serverless SQL pool queries files in the data lake directly, so some 'tables' a sync sees are projections over Parquet or CSV rather than managed storage. Stacksync's field mapping accounts for these differences between Anthropic and Azure Synapse Analytics 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 416 integrations available for Anthropic and Azure Synapse Analytics.