Sold by: Logan Data
Connect Azure Data Explorer (Kusto) to Alation's data catalog with automated metadata extraction. Extract Clusters, Databases, Tables, and Columns using Azure trusted authentication. Supports SSL and HTTPS, selective extraction by Cluster or Database, and full extraction for enterprise-scale ADX deployments.
Overview
The Azure Data Explorer RDBMS OCF Connector, developed by Logan Data, enables Alation users to automatically extract and catalog metadata from Azure Data Explorer (ADX) clusters, bringing Databases, Tables, and Columns into Alation's unified data intelligence platform as fully searchable, trusted data assets.
Azure Data Explorer is Microsoft Azure's fully managed, high-performance analytics service built for real-time analysis of large volumes of streaming and batch data. It uses the Kusto Query Language (KQL) and is widely used for log analytics, IoT telemetry, application monitoring, and business intelligence. By connecting ADX to Alation through this OCF connector, data analysts, business analysts, and data stewards gain the ability to find, understand, and trust ADX data assets from within Alation's catalog, without needing direct access to the ADX Web UI or writing KQL.
Built on Alation's Open Connector Framework (OCF) with a containerized SDK, this connector uses two distinct Azure REST API tiers to extract metadata accurately and completely:
- Azure Resource Manager APIs (management.azure.com) for Cluster and Database-level metadata including connection URIs and storage configuration
- Kusto REST APIs (api.kusto.windows.net) for Table and Column metadata via KQL management queries (.show tables, .show table schema)
Object mapping - what gets extracted and how it appears in Alation:
- Cluster.Database mapped to Alation Schema: with database name, PersistentStorage value (mapped to Alation Description), and Connection URI (e.g. https://.eastus.kusto.windows.net)
- Table mapped to Alation Table: with table name
- Column mapped to Alation Column: with column name and data type
Authentication and security:
- Azure Trusted Authentication (recommended): Azure Entra ID OAuth 2.0 client credentials flow using client_id and client_secret, the Microsoft-recommended approach for service-to-service connectivity to ADX
- SSL/TLS enforced: ADX accepts HTTPS connections exclusively, ensuring all metadata extraction traffic is encrypted in transit
Extraction capabilities:
- Selective extraction: apply filters at the Cluster or Database level to scope catalog updates to specific ADX resources, configured via the toggle in Alation's connector settings page
- Full extraction: catalog all Databases and their Tables and Columns across all accessible ADX clusters in a single run
- Known limitation: the Azure Clusters List API returns all clusters within one Azure subscription per tenant, clusters from different Azure organizations require separate connector configurations. Use selective extraction to filter to the clusters in use.
Near real-time synchronisation between Azure Data Explorer and Alation ensures analysts are always working with current schema information. A log view of extraction status is visible directly on the connector settings page in Alation.
Compatibility: Alation On-Premise and Alation Cloud Service. Azure subscription with Kusto cluster access and Azure Entra ID service principal required.
Highlights
- Complete Azure Data Explorer metadata in Alation, including Clusters, Databases, Tables, and Columns. Full schema catalog with connection URIs, storage properties, and column types mapped to Alation for unified search, curation, and governance across ADX data assets.
- Azure Entra ID trusted authentication with SSL and HTTPS security. Uses OAuth 2.0 client credentials flow, Microsoft's recommended approach for ADX service connectivity, with HTTPS enforced. No plaintext credentials. Fully compatible with enterprise Azure AD policies.
- Selective and full extraction with Cluster and Database-level filters. Scope catalog updates to specific ADX clusters or databases, or run a full extraction across all resources, configurable directly from Alation's connector settings page.
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 | Azure Data Explorer RDBMS OCF Connector | $28,800.00 |
Dimensions summary
This listing has one pricing dimension: the Azure Data Explorer RDBMS OCF Connector, sold as a contract. You buy the connector as a single unit rather than choosing among tiers or instance sizes. Pricing does not scale by usage or data volume. The connector extracts database metadata (clusters, databases, tables, and columns) from the source system into the data catalog platform. It runs one direction only, moving artifacts into the catalog. Because there is a single unit, your cost is set by the contract term rather than by consumption.
Top-of-mind questions for buyers
One unit is a single license for the Azure Data Explorer RDBMS OCF Connector. It covers the connector that extracts source metadata into the data catalog. You are not billed per cluster, database, table, or column moved. The unit is the connector itself, not the volume of artifacts synchronized.
No. Pricing is set by the contract for the single connector unit. It does not scale with the number of clusters, databases, tables, or columns you extract. Whether you sync a small source or a large one, the connector cost stays tied to the contract term, not the data volume moved.
The connector moves data in one direction only, pulling source metadata into the data catalog. It does not write back to the source. You pay for this single one-way connector as one contracted unit. There is no separate charge for a reverse or bidirectional flow, since none is offered.
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