Load the data from Kafka using Kafka Connect via the JDBC Sink Connector.Use a RDBMS compatible with JDBC (MariaDB, PostgreSQL).To avoid buying licensed products, you need to build a custom component that would consume from Kafka and push into Tableau via the Streaming Push HTTP API. ![]() There is third-party software which can connect Kafka and Tableau via Rest API called Progress ( DataDirect and OpenEdge).The Streaming Push HTTP API cannot be used with Confluent Kafka Http Proxy since it is a pull-only system.The Streaming Push HTTP API cannot be used with Kafka Connect since the Kafka Connect HTTP Sink Connector from Confluent is a commercially licensed product.The free version limits data for ingest up to 5 MB/s, and up to 2GB/month for hot storage. Rockset real-time database are paid subscription products.Tableau Bridge needs extra Streaming Analytics and PubNub Datasets which are a paid subscription products.If you are a Tableau Online customer, loading the data into Databases does not cause any extra cost (in this, you can do it as with Tableau Desktop). Datasets require either manual effort or extra installation and configuration via Tableau Bridge.Kafka Connect dumps Kafka records into a CSV file and these can be imported manually into Tableau (less practical solution).Streaming Dataset: Tableau Bridge, HTTP Rest Push API, or Rockset.Not all workbooks and reports can be created on this version.consuming directly from Kafka into some internal storage or Kafka) so data must be stored first in a database. There is no real streaming support (e.The data would be read by Power BI at regular short times to give the impression of a streaming system.The data would be written in batches of configurable size by Kafka Connect into some database using JDBC.Kafka Connect dumps Kafka records into a CSV file, and these are imported manually into Tableau.The solution involves running a Kafka Connect instance (standalone or distributed if needed) with the Confluent JDBC Sink Connector (Confluent Community License).Both Cloud and Desktop versions seem to be feature-rich regarding analysis and reporting.it accepts a vast number of connectors (file, databases, and third-party data sources). Tableau Desktop runs on Both Windows and Mac, also on Linux (Tableau Server).Tableau exists in both cloud and desktop version.Tableau is a data analysis tool that allows users to extract business intelligence from multiple sources of data by means of reporting and dashboarding.Also some API methods are not supported for Tableau Online.In addition, the same limitations apply to the TSC library that apply to the REST API with respect to resources on Tableau Server and Tableau Online.Tableau Server Client (TSC) is a Python library for the Tableau Server REST API. Some methods and features provided in the REST API might not be currently available in the TSC library.This means that it can be called to consume data form Kafka, but does not push data anywhere by itself. The Confluent HTTP Rest Kafka Proxy is not suitable for this task since it is a pull-system. If you have no cloud vendor, or Rockset subscription, you can still use the HTTP API to push data into Tableau.Ī Kafka Connect HTTP Sink Connector that does this job using Kafka Connect is available under a Confluent commercial license. Then you can also proceed the as in the case of Tableau Desktop. ![]() You can add your Database as a Tableau data source, and create the dashboards and reports from there.įor Tableau Server (cloud version), it depends on which cloud server vendor you use. If you have Tableau Bridge installed and configured, you can use the same process as for Tableau Desktop: use Kafka Connect to load the data into your Databases. Sign in to the database and Database in Tableau.Now connect mySQL server from Tableau Desktop.To connect directly from Tableau Desktop, install an additional driver from this page. To connect Tableau to your database, connect to the server ( read more).Now you can connect Tableau to your Database.After connecting to Kafka standalone and sending a request to Kafka, the database should have all data from the request. ![]()
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