Two-way sync
Changes in SAP Hana or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep SAP Hana 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.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between SAP Hana and SingleStore continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Keep the same dataset live in both SAP Hana and SingleStore, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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.
| SAP Hana objects | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Views Read-only projections used as curated sync sources. | Schemas is specific to SAP Hana and Views to SingleStore — each maps to any object or custom field on the other side. | |
| Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Sequences is specific to SAP Hana and Reference Tables to SingleStore — each maps to any object or custom field on the other side. | |
| Triggers AFTER INSERT/UPDATE/DELETE triggers capture changes into a shadow/logging table so updates and deletes are detected near-real-time without full scans. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Triggers is specific to SAP Hana and Pipelines to SingleStore — each maps to any object or custom field on the other side. | |
| System-versioned temporal tables Column store tables with a history table tracking each row's validity period; used to reconstruct update and delete history for change capture. | Stored Procedures Existing logic sometimes invoked on write paths. | System-versioned temporal tables is specific to SAP Hana and Stored Procedures to SingleStore — each maps to any object or custom field on the other side. | |
| System views (SYS schema) Catalog and monitoring views such as SYS.TABLES and TABLE_COLUMNS; read to discover schema and auto-generate field mappings for new tables. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | System views (SYS schema) is specific to SAP Hana and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side. | |
| Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | Databases The connection target containing the tables a sync addresses. | Column store tables is specific to SAP Hana and Databases to SingleStore — 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.
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
DeliveryEach detected change is applied to SingleStore as a row-level write, with types converted between the two schemas.
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 applied to SAP Hana as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP Hana–SingleStore connection.
Changes in SAP Hana or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SAP Hana 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 SAP Hana or SingleStore record.
Track your SAP Hana ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SAP Hana 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 SAP Hana 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 SAP Hana 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 SAP Hana and SingleStore: authenticate both systems, choose the objects to sync (such as SAP Hana's Schemas and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
SAP Hana: Column store is the analytics-optimized default; very high-write OLTP tables may live in the row store, which behaves differently for change capture. 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 SAP Hana 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 SAP Hana and SingleStore records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed SAP Hana and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom SAP Hana–SingleStore integration in-house.
Yes — Stacksync ships production-grade connectors for both SAP Hana and SingleStore. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on SAP Hana: Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table; system-versioned temporal tables and SLT/SDI provide trigger- and log-based CDC. No native webhooks. 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.
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 483 integrations available for SAP Hana and SingleStore.