Real-time
Two-way sync
Changes in Oracle DB or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Oracle DB to Tinybird integration — real-time, two-way sync
Keep Oracle DB and Tinybird 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
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Why teams connect Oracle DB and Tinybird
Connect Oracle DB and Tinybird with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Oracle DB's rows in Tinybird, 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 Oracle DB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Oracle DB sync into Tinybird in real time, and result tables in Tinybird sync back into Oracle DB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
- 02 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
- 03 Log-based replication of order and inventory tables into an analytics warehouse instead of nightly batch dumps.
- 04 Expose a curated subset of an on-prem Oracle ERP schema to cloud tools by syncing it to a managed Postgres.
Common sync patterns
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Tinybird and keep Oracle DB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Oracle DB land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Oracle DB and Tinybird
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.
| Oracle DB objects | Tinybird objects | How this pairing syncs | |
|---|---|---|---|
| Materialized views Precomputed results occasionally used as stable replication sources | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Schemas is specific to Oracle DB and Workspaces to Tinybird — each maps to any object or custom field on the other side. | |
| Sequences Key generators to respect when external systems insert rows | Tokens Scoped credentials that control read and append rights per resource. | Sequences is specific to Oracle DB and Tokens to Tinybird — each maps to any object or custom field on the other side. | |
| PL/SQL procedures and packages In-database logic that can consume or transform synced data | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | PL/SQL procedures and packages is specific to Oracle DB and Data Sources to Tinybird — each maps to any object or custom field on the other side. | |
| Partitions Physical subdivisions relevant when replicating high-volume tables | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Partitions is specific to Oracle DB and Pipes to Tinybird — each maps to any object or custom field on the other side. | |
| JSON columns Document data stored in the converged engine and synced alongside relational rows | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | JSON columns is specific to Oracle DB and API Endpoints to Tinybird — each maps to any object or custom field on the other side. |
How changes propagate between Oracle DB and Tinybird
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.
Oracle DB Tinybird Sub-second propagation
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is applied to Tinybird as a row-level write, with types converted between the two schemas.
Tinybird Oracle DB Interval-based propagation
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
DeliveryEach detected change is applied to Oracle DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Oracle DB: Throughput bounded by database resources rather than API quotas.
- Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Oracle DB ⇄ Tinybird
Connect Oracle DB and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Oracle DB or Tinybird 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 Oracle DB or Tinybird record.
Observability
Monitoring
Track your Oracle DB ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Oracle DB and Tinybird.
How the Oracle DB and Tinybird connectors work
Oracle DB
- Integration surface
- SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
- Authentication
- database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
- Change detection
- log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by database resources rather than API quotas
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect Oracle DB to Tinybird — 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 Oracle DB and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Oracle DB
connected
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Oracle DB and Tinybird 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 · Oracle DB ⇄ TinybirdCustomers 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.
Oracle DB TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Oracle DB and Tinybird integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Oracle DB and Tinybird: authenticate both systems, choose the objects to sync (such as Oracle DB's Materialized views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Oracle DB: SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers. Authentication: Database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups. Tinybird: REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect. Authentication: Scoped auth tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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Tinybird: Rows that fail a Data Source schema are diverted to a companion quarantine Data Source instead of failing the whole batch. Oracle DB: The engine is multi-model: relational, JSON, XML, and spatial data live in one database, so a single connection covers mixed data types. Stacksync's field mapping accounts for these differences between Oracle DB and Tinybird without custom code.
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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 Oracle DB and Tinybird records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Oracle DB and Tinybird connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Oracle DB–Tinybird integration in-house.
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Yes — Stacksync ships production-grade connectors for both Oracle DB and Tinybird. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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