Connect Elasticsearch and KNIME to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Elasticsearch
Choose an Action
Automatically do this!
- Request a new Action for KNIME
Enable Integrations or automations with these events of Elasticsearch and KNIME
Enable Integrations or automations with these events of Elasticsearch and KNIME
Actions
Create Document
create a doc
Create Document ( without selecting index)
index name is inside the document
Bulk Add Documents to an index
add many documents in one go
Delete Index
delete an index
Create Index
create an index
Search (Fuzzy search)
fuzzy search
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Frequently Asked Questions
To start, connect both your Elasticsearch and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Elasticsearch triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Elasticsearch data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between Elasticsearch and KNIME typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Elasticsearch and KNIME. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Elasticsearch
Elasticsearch is a powerful, open-source search and analytics engine built on Apache Lucene. It is designed for horizontal scalability, real-time search, and support for multi-tenant environments.
Learn MoreAbout KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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