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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Connector | Dataiku OCF Connector | $30,000.00 |
Dimensions summary
This listing offers one pricing dimension: the Dataiku OCF Connector, billed as a contract by unit. You buy the connector as a single unit, and quantity scales with how many units you need. There are no tiers or size-based options. Pricing is a fixed contract commitment for the connector itself. The connector extracts data artifacts from one platform and sends them to a data catalog to build metadata and lineage information.
Top-of-mind questions for buyers
One unit is the connector itself, licensed as a single item under your contract. It links the data science platform to your data catalog. You buy the connector count you need; there are no per-user, per-dataset, or per-host meters tied to this unit.
No. The connector is billed as a fixed contract unit, not by data volume. It synchronizes artifacts on a near real-time basis, but that activity does not add usage-based charges. Your contract cost stays the same regardless of how many artifacts move through it.
The connector is unidirectional. It extracts artifacts from the data science platform and sends them to the data catalog to build metadata and lineage. It does not push data back the other way. This one-way scope does not affect how the single contract unit is priced.
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