PipePilotUnified data pipeline platform

Unified data pipeline platform

Batch pipelines,CDC and migrations.One platform.

Move your data. See every run. Recover with confidence. Scheduled loads, live changes and migrations with private agents and central monitoring.

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Inside PipePilot Recorded product demo

Connections. Pipelines. Monitoring. Recovery.Open demo

Your stack, connected

Bring your data together.

  • PostgreSQL
  • MySQL
  • SQL Server
  • Oracle
  • MariaDB
  • MongoDB
  • Db2
  • Oracle ADW
  • Snowflake
  • BigQuery
  • Amazon Redshift
  • REST API
  • Salesforce
  • Amazon S3
Explore connectors and supported routes

Three ways to move. One place to operate.

Your data does not move
at just one speed.

PostgreSQL → Snowflake overnight

A schedule for every table.

Load reference tables in full. Bring across new and updated transactions incrementally. Keep both in one pipeline.

Explore Batch
PipePilot Workflow illustration · sample states
Batch pipelineTable-level visibility
CustomersFull loadPublished
OrdersIncrementalCheckpoint saved
Run historyTable-level evidenceReview available
Run history · Error details · Recovery controls

Connect your data estate

Choose the path.
See the target.

Select a source and destination to preview how PipePilot keeps the route and target visible.

Explore connectors
01
SourceChoose where data starts
PipePilotRoute · run · recover
PostgreSQLSnowflake
02
DestinationChoose where data lands
Selected routePostgreSQL SnowflakeChoose your tables and confirm compatibility during setup.

Connector roles, modes and compatible routes vary. Confirm the path and prerequisites in the connector directory.

Explore the connector directory

Operate beyond the happy path

A failed run should
come with a way forward.

See which part failed, inspect the evidence and choose the supported recovery action.

  1. 01

    Spot the failure

    Run and destination health make failures visible.

    Needs attention
  2. 02

    Open the detail

    Find the affected table and its reported error.

    Table-level evidence
  3. 03

    Review the checkpoint

    Inspect saved progress and recovery conditions.

    Checkpoint & retry
  4. 04

    Retry with context

    Use the supported retry after resolving the cause.

    Guided recovery

Illustrated recovery sequence. Recovery options depend on pipeline mode, runtime and failure.

See monitoring and recovery

Private execution. Shared visibility.

Keep the work
close to your data.

Run a Private Agent in your network. Manage connections, pipelines and operational evidence from PipePilot.

Explore Private Agents
Private Agent architecture · illustration
Your network
SourcePrivate AgentDestination
Outbound connection · commands & operational evidence
PipePilot control planeConfiguration · monitoring · recovery

Destination location depends on your setup. Data movement runs on the selected runtime.

See the evidence

Test the outcome.
Not just the transfer.

Compare fresh source and destination counts after supported loads. Review discrepancies with the saved watermark and merge keys, ask PipePilot for an explanation, then confirm an eligible repair and recheck.

Explore reconciliation
Reconciliation · controlled PostgreSQL test
Mismatch detected6 / 4After reviewed repair6 / 6

Source count / destination count · synthetic test data
Counts alone do not prove row contents match.

Frequently asked questions

What teams usually ask first.

Does PipePilot support batch as well as CDC?

Yes. PipePilot supports scheduled or manual full and incremental batch pipelines alongside near-real-time CDC pipelines. Availability depends on the selected source, destination and execution environment.

How does incremental loading work?

An incremental table uses a selected watermark to find changed source rows and merge keys to apply them safely. The first run creates a full baseline; later runs advance the checkpoint only after the destination write succeeds.

How are migrations handled?

A migration is a separate one-time data-copy workflow. You choose supported source and destination connections, then explicitly map schemas or datasets and tables. Destination support is released only after its ownership, retry and write safeguards are verified.

Where do Private Agents run?

Private Agents run on a customer-supplied Linux host that can reach the selected source and destination. The Agent makes outbound control-plane connections; batch records and runtime credentials stay in the customer runtime during execution.

What happens when a pipeline fails?

PipePilot keeps run and task evidence, protects unpublished full-load staging, and exposes retry, cancellation or recovery actions when the recorded state makes them safe.

How does PipePilot work with Snowflake and BigQuery?

PipePilot supports Snowflake batch destinations and selected source workflows, plus Snowflake CDC landing. BigQuery supports hosted table-mode batch source and full or incremental destination workflows. Raw CDC landing is available only when that integration is enabled.

Next step

Plan your data workflow.

Share your source, destination and network needs. We will confirm the supported workflow and prerequisites.

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