> ## Documentation Index
> Fetch the complete documentation index at: https://jobo.world/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Platform Overview

> Three data delivery paths to get job data into your systems: Export, Outbound Feed, and Pipelines.

The Jobo Enterprise Data Platform offers multiple ways to deliver job data to your infrastructure. Pick the path that matches your integration style — from one-time snapshots to continuously synced datasets with AI enrichment.

## Data Families

<CardGroup cols={3}>
  <Card title="Data Export" icon="download" href="/data-platform/export/overview">
    Export job data to CSV, JSON, or Parquet files with configurable columns and
    filters. Best for snapshots, analytics imports, and one-off pulls.
  </Card>

  <Card title="Outbound Feed" icon="tower-broadcast" href="/data-platform/outbound-feed/overview">
    Push job data directly to your databases and search engines with continuous
    sync every 15 minutes. Best for keeping your own storage in sync.
  </Card>

  <Card title="Pipelines" icon="diagram-project" href="/data-platform/pipelines/overview">
    Transform and enrich data with visual flow pipelines powered by AI and
    Liquid templates. Best for schema mapping, extraction, and enrichment before
    write.
  </Card>
</CardGroup>

## Getting Started

Get up and running with the data platform in three progressive steps. Each builds on the previous one.

<Steps>
  <Step title="Start with Data Export">
    Use one-time snapshots when you need to pull data quickly into BI tools,
    spreadsheets, or internal scripts. Go to **Data → Export** in the
    [dashboard](https://enterprise.jobo.world), choose your format, and download.
  </Step>

  <Step title="Move to Outbound Feed for Sync">
    When you need continuous data, configure an Outbound Feed destination
    (PostgreSQL, MongoDB, Elasticsearch, Algolia, or Meilisearch) and keep it up
    to date with incremental sync every 15 minutes.
  </Step>

  <Step title="Add Pipelines for Enrichment">
    Attach transformation pipelines when you need schema remapping, field
    extraction, or AI enrichment before data is written to your destination.
    Pipelines plug into any Outbound Feed.
  </Step>
</Steps>

## When to Use What

| Use Case                   | Recommended Product                                       | Why                                                      |
| -------------------------- | --------------------------------------------------------- | -------------------------------------------------------- |
| One-time data download     | **Data Export**                                           | Quick pull, no setup required                            |
| Spreadsheet analysis       | **Data Export** (CSV)                                     | Opens directly in Excel / Google Sheets                  |
| Analytics / data warehouse | **Data Export** (Parquet)                                 | Columnar format, compact, fast for Spark/DuckDB/BigQuery |
| Keep your database in sync | **Outbound Feed**                                         | Auto-sync every 15 min with upsert logic                 |
| Power a search UI          | **Outbound Feed** → Algolia / Meilisearch / Elasticsearch | Real-time index updates                                  |
| Enrich jobs with AI        | **Pipelines** → AI Node                                   | Classify, summarize, or extract structured fields        |
| Custom data transformation | **Pipelines** → Liquid + JSON Merge                       | Remap schemas, rename fields, merge data                 |
| Continuous data ingestion  | **Outbound Feed** or **API Feed**                         | Cursor-based pagination for programmatic access          |

## Feature Comparison

| Dimension            | Data Export                             | Outbound Feed                             | Pipelines                                    |
| -------------------- | --------------------------------------- | ----------------------------------------- | -------------------------------------------- |
| **Data Freshness**   | Snapshot at time of export              | Synced every 15 minutes                   | Synced every 15 minutes (via Feed)           |
| **Delivery**         | Downloadable file (CSV/JSON/Parquet)    | Pushed to your database / search engine   | Transformation layer before Feed write       |
| **Volume**           | Up to millions of records per export    | Continuous — full dataset kept in sync    | Same as Feed (transforms applied per-record) |
| **Setup Complexity** | None — click and download               | Moderate — provide connection credentials | Advanced — build node graph in visual editor |
| **Best For**         | Ad-hoc analysis, data sharing           | Production integrations, search UIs       | Custom schemas, AI tagging, field enrichment |
| **Subscription**     | Free (100 rows) / Jobs Data (unlimited) | Jobs Data plan required                   | Jobs Data plan required                      |

## Platform Highlights

<CardGroup cols={4}>
  <Card title="57 ATS Sources" icon="database">
    Greenhouse, Workday, Lever, iCIMS, and many more
  </Card>

  <Card title="Global Coverage" icon="globe">
    Jobs from companies across 100+ countries
  </Card>

  <Card title="Real-time Updates" icon="rotate">
    Data refreshed every 15 minutes
  </Card>

  <Card title="Enterprise Security" icon="lock">
    TLS 1.3, AES-256 encryption at rest
  </Card>
</CardGroup>

## Next Steps

Launch your first data workflow in under 15 minutes.

<CardGroup cols={3}>
  <Card title="Set up your first export" icon="download" href="/data-platform/export/overview">
    Download a snapshot of job data in CSV, JSON, or Parquet
  </Card>

  <Card title="Configure outbound sync" icon="tower-broadcast" href="/data-platform/outbound-feed/overview">
    Connect your database and start receiving continuous updates
  </Card>

  <Card title="Build a transformation pipeline" icon="diagram-project" href="/data-platform/pipelines/overview">
    Add AI enrichment or schema remapping to your data flow
  </Card>
</CardGroup>