• Pricing
Book a demo

Sync your data to Tinybird in real-time with AI

Swiftask automates your data flows to Tinybird. Ingest and transform your information instantly, without technical complexity.

Result:

Accelerate your analytics by eliminating latency between your sources and your analytical warehouse.

Data latency slows down your decision making

Keeping data pipelines up to date is a constant struggle. Traditional ETL processes create silos, processing delays, and require expensive technical maintenance. Your Tinybird analytics are often based on stale data.

Main negative impacts:

  • Fragmented data flows: Manual integration between your sources and Tinybird breaks the data value chain.
  • High maintenance costs: Developing custom scripts to sync databases consumes valuable engineering time.
  • Lagging analytics: The latency between an event and its availability in Tinybird prevents real-time, data-driven decisions.

Swiftask deploys intelligent AI agents to orchestrate your data synchronization to Tinybird, ensuring freshness and stream integrity.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

Your teams rely on complex batch scripts that run every hour. If a pipeline fails, no one is alerted immediately. Data in Tinybird is always behind reality.

With Swiftask + Tinybird

As soon as data is generated, the Swiftask agent processes and pushes it to Tinybird. Your analytical dashboards reflect your business activity in real-time.

Set up your data pipeline in 4 steps

STEP 1 : Define your data source

Connect any API, database, or event stream to Swiftask in just a few clicks.

STEP 2 : Initialize the Tinybird connector

Configure your Tinybird workspace API credentials to allow secure ingestion.

STEP 3 : Define transformation rules

Use AI to normalize or enrich your data before sending it to Tinybird.

STEP 4 : Activate continuous sync

Launch the agent. Swiftask monitors the flow and guarantees constant delivery to your Tinybird Data Sources.

Ingestion and transformation power

The agent analyzes your source data schema and adapts it dynamically to Tinybird's requirements.

  • Target connector: The agent performs the right actions in tinybird based on event context.
  • Automated actions: Webhook ingestion, API polling, lightweight LLM-based transformation, multi-source routing, and automatic error handling with retries.
  • Native governance: Every data transaction is monitored to guarantee zero information loss.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-tinybird@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Operational benefits of the pipeline

1. Ultra-low latency

Reduce the time between data generation and analytical exploitation.

2. Zero-code maintenance

Forget complex ETL scripts. Manage your flows via an intuitive interface.

3. Guaranteed integrity

The agent validates data structure before every push to Tinybird.

4. Native scalability

Swiftask scales with your data volume growth without needing reconfiguration.

5. Full observability

Track the volume and health of your synchronizations in real-time within Swiftask.

Data security at the core

Swiftask applies enterprise-grade security standards for your tinybird automations.

  • Encrypted streams: All data is transmitted via secure TLS connections.
  • API secret management: Your Tinybird access tokens are stored in an encrypted and isolated manner.
  • GDPR compliance: Finely control which data is synchronized and where it is stored.
  • Environment isolation: Separate your production and test flows with distinct configurations.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Data flow performance

MetricBeforeAfter
Sync latencyMinutes to hoursMilliseconds
Maintenance loadHigh (custom scripts)None (no-code)
Data reliabilityManual error riskAutomatic validation
Time-to-insightSlowInstant

Take action with tinybird

Accelerate your analytics by eliminating latency between your sources and your analytical warehouse.

Optimize your Tinybird pipelines with Swiftask AI

Next use case