Two-way sync
Changes in Apache Pinot or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot and SAP Hana 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 SAP Hana's rows in Apache Pinot, 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 SAP Hana where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SAP Hana sync into Apache Pinot in real time, and result tables in Apache Pinot sync back into SAP Hana, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Apache Pinot and keep SAP Hana focused on its operational workload.
Rows from SAP Hana land in Apache Pinot as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Apache Pinot sync into SAP Hana, where whatever reads from that database gets them without querying the warehouse.
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.
| Apache Pinot objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Offline Tables is specific to Apache Pinot and Row store tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Indexes is specific to Apache Pinot and Calculation views to SAP Hana — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. | Tenants is specific to Apache Pinot and SQL views to SAP Hana — each maps to any object or custom field on the other side. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Tables is specific to Apache Pinot and Sequences to SAP Hana — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | 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. | Segments is specific to Apache Pinot and Triggers to SAP Hana — 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 Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.
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 Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–SAP Hana connection.
Changes in Apache Pinot or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or SAP Hana data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Pinot or SAP Hana record.
Track your Apache Pinot ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and SAP Hana.
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 Apache Pinot and SAP Hana 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 Apache Pinot and SAP Hana 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 Apache Pinot and SAP Hana: authenticate both systems, choose the objects to sync (such as Apache Pinot's Schemas and Offline Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. SAP Hana: SQL over the SAP HANA client (JDBC/ODBC drivers); OData/REST via XS for app-layer access. Authentication: Dedicated database user credentials over an encrypted TLS connection (password sent hashed); Kerberos, SAML, JWT, and X.509 certificate authentication are also supported. SAP HANA Cloud enforces TLS and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Pinot: Pinot separates offline and real-time tables and merges them at query time through the broker, so one logical table can span batch history and fresh stream data. SAP Hana: Polling change detection requires a last-modified timestamp column; without one, triggers or system-versioned temporal tables are needed to catch updates and deletes. Stacksync's field mapping accounts for these differences between Apache Pinot and SAP Hana 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 Apache Pinot and SAP Hana records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Pinot and SAP Hana connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–SAP Hana integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Pinot and SAP Hana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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Every pair below is a real-time, two-way sync. Search all 471 integrations available for Apache Pinot and SAP Hana.