Two-way sync
Changes in Azure Synapse Analytics or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want SingleStore's rows in Azure Synapse Analytics, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in SingleStore where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SingleStore sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into SingleStore, with schema and type mapping between the two systems handled for you.
Rows from SingleStore land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Azure Synapse Analytics sync into SingleStore, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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.
| Azure Synapse Analytics objects | SingleStore objects | |
|---|---|---|
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Views Read-only projections used as curated sync sources. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Stored Procedures Existing logic sometimes invoked on write paths. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Databases The connection target containing the tables a sync addresses. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–SingleStore connection.
Changes in Azure Synapse Analytics or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Synapse Analytics or SingleStore record.
Track your Azure Synapse Analytics ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and SingleStore.
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 Azure Synapse Analytics 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.
Pick the Azure Synapse Analytics 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.
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 Azure Synapse Analytics and SingleStore: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Materialized views and SQL pools), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Azure Synapse Analytics and SingleStore: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from SingleStore land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
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. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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. SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and SingleStore without custom code.
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 Azure Synapse Analytics and SingleStore records are not retained after a sync operation.
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 386 integrations available for Azure Synapse Analytics and SingleStore.