Real-time
Two-way sync
Changes in Actian Vector or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Actian Vector to Azure Synapse Analytics integration — real-time, two-way sync
Keep Actian Vector 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.
- 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Actian Vector and Azure Synapse Analytics
Keep tables consistent across Actian Vector and Azure Synapse Analytics, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Actian Vector and Azure Synapse Analytics continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Common use cases
- 01 Consolidate data from several source systems into one Vector database for BI dashboards.
- 02 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
- 03 Consolidate SaaS data alongside lake data so analysts join both through one SQL surface.
- 04 Load CRM and ERP records into Synapse dedicated SQL pool tables for enterprise reporting.
Common sync patterns
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Consolidation after M&A
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
What you can sync between Actian Vector and Azure Synapse Analytics
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.
| Actian Vector objects | Azure Synapse Analytics objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables. | Schemas Namespaces that separate staging, integration, and presentation layers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views SQL views readable as query-backed sync sources. | Views Curated projections used when downstream tools should not read base tables directly. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Columnar tables that serve as sync sources or destinations. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Tables is specific to Actian Vector and Tables (dedicated SQL pool) to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Columns Typed columns mapped field-by-field during schema mapping. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Columns is specific to Actian Vector and External tables to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Users and Roles is specific to Actian Vector and Materialized views to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Databases Top-level containers targeted by a sync connection. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Databases is specific to Actian Vector and SQL pools to Azure Synapse Analytics — each maps to any object or custom field on the other side. |
How changes propagate between Actian Vector and Azure Synapse Analytics
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.
Actian Vector Azure Synapse Analytics Interval-based propagation
DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is applied to Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Azure Synapse Analytics Actian Vector Interval-based propagation
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
What ships with Actian Vector ⇄ Azure Synapse Analytics
Connect Actian Vector and Azure Synapse Analytics for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Azure Synapse Analytics connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Azure Synapse Analytics 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 Actian Vector or Azure Synapse Analytics record.
Observability
Monitoring
Track your Actian Vector ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and Azure Synapse Analytics.
How the Actian Vector and Azure Synapse Analytics connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
Azure Synapse Analytics
- Integration surface
- 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
- Change detection
- Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
- Capabilities
- read · write
How it works
How to connect Actian Vector to Azure Synapse Analytics — 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 Actian Vector 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.
Actian Vector
connected
Azure Synapse Analytics
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector 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.
objects · Actian Vector ⇄ Azure Synapse AnalyticsCustomers 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.
Actian Vector Azure Synapse AnalyticsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Azure Synapse Analytics integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Azure Synapse Analytics: authenticate both systems, choose the objects to sync (such as Actian Vector's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Actian Vector side: Columns, Users and Roles, Databases, Schemas, plus custom fields where Actian Vector exposes them. On the Azure Synapse Analytics side: SQL pools, Tables (dedicated SQL pool), External tables, Views. 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.
-
Common patterns for Actian Vector and Azure Synapse Analytics: Shared datasets across teams; Consolidation after M&A; Migration without a big bang. Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
-
Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. 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.
-
Actian Vector: Actian Vector is a columnar analytics database with vectorized query execution, so it is used as an analytical destination rather than a transactional source. Azure Synapse Analytics: Dedicated SQL pool tables are distributed across compute nodes using hash, round-robin, or replicated strategies, and the choice affects load and query performance for synced tables. Stacksync's field mapping accounts for these differences between Actian Vector and Azure Synapse Analytics without custom code.
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
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Azure Synapse Analytics ⇄ StarRocks -
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