Non-native query translation fallback to Spark for Elasticsearch and OData connectors - zero failed queries from any BI Tool in real-time!
Spark distribution support for local Spark - in progress for Azure Databricks/HDInsight
Optimistic Caching (for query results and Spark dataframes) + configurable caching policy per data table (OData entity or Elasticsearch index)
More BI Tool support: PowerBI + Tableau + Spark (any distribution) as clients of Conduit’s JDBC/ODBC/Thrift API
Friendly names (aliases) for MS-SQL/Azure SQL/DB2 tables, OData entities or ES indexes exposed to users in BI Tools
Elasticsearch authentication (x-pack support) - Conduit can impersonate with service account against Elasticsearch
Forgot Password feature and SMTP Server configuration in the Management Console
Automatic Metrics dashboard creation (Grafana) for each newly created data source
Automatic deployment upgrades from the Management Console with schema and data migration from a list of registered version with Conduit central (one server that manages all deployments of Conduit, their deployment status, available published versions) - once a deployment is completed from the marketplace or on-prem script, subsequent upgrades can be triggered from that deployment’s Management Console
Azure Monitoring for Conduit Central services (license and deployment upgrade)
1.1.0 (Sep 10, 2018) Print
Modified on: Mon, 8 Feb, 2021 at 6:28 PM
Did you find it helpful?Send feedback
Sorry we couldn't be helpful. Help us improve this article with your feedback.