Sold by: Logan Data
Connect Dataiku to Alation's data catalog with automated metadata extraction and cross-system lineage. Extract Projects, Datasets, Recipes, Models, Dashboards, Insights, Notebooks, Webapps, and Analyses, with full mapping to Alation's catalog object model. Supports Basic authentication and Alation Cloud Service.
Overview
The Dataiku OCF Connector, developed by Logan Data, enables Alation users to automatically extract and catalog metadata from the Dataiku Data Science Studio (DSS) platform, bringing Projects, Datasets, Recipes, Models, Dashboards, Insights, Notebooks, Webapps, Analyses, and Charts into Alation's unified data intelligence platform.
Dataiku DSS is a collaborative data science platform used by organisations to build, deploy, and monitor machine learning pipelines and advanced analytics workflows. By connecting Dataiku to Alation through this OCF connector, data teams gain full visibility into how data flows from source systems into Dataiku transformations and ultimately into business insights, all searchable, trusted, and governed from a single catalog.
Built on Alation's Open Connector Framework (OCF) and delivered as a Zip file installable via Alation Connector Manager, this connector supports both Alation On-Premise and Alation Cloud Service deployments, with Alation Agent support from connector version 1.1.2.4595 for network-isolated environments.
Object mapping - what gets extracted and how it appears in Alation:
- Projects mapped to Alation Folders, capturing owner, creation time, modification time, project description, and project-level permissions
- Datasets mapped to Alation Data Sources, with all dataset columns cataloged as Data Source columns including name, datatype, and schema information
- Recipes mapped to Alation Reports, with recipe source code captured for lineage and transformation documentation
- Models mapped to Alation Reports, capturing model summary metadata for ML asset governance
- Dashboards mapped to Alation Folders, with owner, creation time, and modification time
- Insights mapped to Alation Reports, with report objects cataloged as measures and dimensions
- Notebooks mapped to Alation Reports, with notebook source code preserved for reference
- Webapps mapped to Alation Reports
- Analyses mapped to Alation Folders, with owner and timestamp metadata
- Charts mapped to Alation Reports, with chart objects cataloged as measures and dimensions
Lineage and governance:
- Cross-system lineage: map Dataiku datasets back to their origin data sources already cataloged in Alation, enabling end-to-end visibility from raw data through Dataiku ML pipelines to downstream business outputs
- Automatic lineage generation is enabled by default and can be disabled on a per-source basis for teams who prefer to manage lineage manually or via API
- Obfuscate Literals: hide sensitive literal values from ingested queries displayed in Alation's Queries tab, configurable per data source
Extraction and scheduling:
- Default metadata extraction (MDE) based on built-in connector queries
- Selective extraction with project-level include/exclude filters
- Automated extraction scheduling from within Alation, configure the day and time for recurring catalog updates without external orchestration
- Manual on-demand extraction available at any time from the Settings page
Authentication and connectivity:
- Basic authentication (username and password) using a dedicated Dataiku service account
- Read Project Content permission required at the project level
- Read Dashboards permission required at the global or project level
- Configurable logging levels (Log4j framework: DEBUG, INFO, WARN, ERROR) accessible from Admin Settings > Manage Connectors in Alation
Compose support: users can run queries against Dataiku datasets directly from Alation's Compose interface. Compose with Alation Agent is supported from connector version 1.1.2.4595.
Compatibility: Alation 2024.1.4 and above. Supported on Alation On-Premise and Alation Cloud Service with or without Alation Agent.
Highlights
- Complete Dataiku metadata in Alation, automatically. Extract Projects, Datasets, Recipes, Models, Dashboards, Insights, Notebooks, Webapps, Analyses, and Charts. All objects mapped to Alation's catalog model for unified search, curation, and governance.
- Cross-system lineage from data source to Dataiku pipeline. Map Dataiku datasets back to their origin in Alation, delivering end-to-end lineage visibility across your data stack, from RDBMS sources through Dataiku ML pipelines to downstream insights.
- Full Compose and Alation Cloud Service support. Execute queries against Dataiku datasets from Alation Compose. Compatible with On-Premise and Cloud Service deployment
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Connector | Dataiku OCF Connector | $60,000.00 |
Dimensions summary
This listing has one pricing dimension: the Dataiku OCF Connector, sold as a unit under a contract. You pay for the connector itself, with no separate tiers, instance sizes, or usage add-ons to choose from. The connector runs one direction, extracting metadata artifacts from the data science platform into the enterprise data catalog. Because pricing rests on a single unit, your cost stays flat regardless of how much you catalog. To scale beyond this connector, you would contact the vendor for additional arrangements.
Top-of-mind questions for buyers
One unit is the connector itself, built on the Open Connector Framework. It links the data science platform to the enterprise data catalog. It runs one direction, pulling metadata artifacts from the source into the catalog. There are no per-user or per-dataset charges tied to the unit.
No. You pay for the single connector unit under the contract. The connector synchronizes artifacts on a regular, near real-time basis regardless of how many datasets, models, or projects it extracts. Your cost stays flat as the amount of metadata cataloged increases.
No. The connector is unidirectional. It extracts metadata artifacts from the data science platform and loads them into the enterprise data catalog. It does not push data back the other way. This one-direction design is built into the single connector unit you purchase.
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Please reach out to: customer_support@logandata.com
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