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Elasticsearch Analytics with Native Integration

Knowi is a unified AI data analytics platform that natively integrates with Elasticsearch—no ETL required. Perform Elasticsearch analytics at scale: query across indexes, run advanced analysis, and join Elasticsearch with NoSQL, SQL, or REST API sources using Knowi’s powerful data virtualization engine. Instantly visualize results or use Knowi's private AI engine to extract insights from your Elasticsearch data. Built for speed, flexibility, and modern data complexity.

Cloud or On-premise Deployments
Plugin Elasticsearch Queries
Schema Discovery & Elasticsearch Query Generation
Join and blend data across various NoSQL and SQL based datasources
Direct query execution into your database to drive visualizations, or, store and track seamlessly using our scalable, schema-less, flexible cloud warehouse
Prediction algorithms that auto-selects the best prediction models and forecast for any dataset
Plug-in architecture for custom logic & custom prediction algorithms
Incremental data pulls and warehouse updates
Push API to send real-time data
Data Export API
Single Sign-On API for embedding inside your portal
Interactive filters
Drilldowns
Choose from 40+ visualization options

Secure AI-powered Data Analytics

Share and embed dashbaords
“My team tested various data visualization tools like PowerBI, Domo, Sisense and Knowi emerged as the top choice for its speed in creating useful dashboards and ease of use for non-technical users. While we selected Knowi as a viz tool, I’m also happy we did so from a data engineering perspective. Knowi’s architecture models data thoughtfully, which I’d credit for enabling a collection of elegant features.”

Phil Bryant

VP Business Intelligence, MacroFab

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Elasticsearch Analytics Features

Search, Graph, Traffic, Conversion

Native Elasticsearch analytics

You simply connect Knowi to Elasticsearch and start writing queries. Knowi is the only complete BI solution that is fully native to Elasticsearch and supports nested objects and arrays. No ODBC drivers, no SQL layer in the middle, no pre-defined schemas, no ETL. No mess. No fuss.
Server Databases Synchronize

Cross database joins

Join Elasticsearch data with NoSQL, Relational, RDBMS, and APIs on the fly across data centers or multiple cloud providers, eliminating costly ETL processes that move and SQL-ify your MongoDB data.
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Search-based analytics

Transform how your company uses its data with the use of Google-search-like capabilities on top of Elasticsearch. Knowi’s search-based analytics will enable your business users to perform ad-hoc analysis in real time.
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Embed Elasticsearch Database Analytics

Build Data-Driven Applications: With just a few clicks, you can securely embed dashboards directly into your applications your business teams are already using. Users can also share Elasticsearch dashboards or email PDF reports to extend analytics reporting to offline users company wide.
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Machine Learning

Combine hindsight and foresight with our machine learning workbench. Integrate machine learning directly into your Elasticsearch data analysis workflows. With Knowi ML, you can automatically trigger actions based on resulting calculations. You choose to integrate your custom algorithms or tap into our library of open source algorithms.
Alarm, Clock, Time, Warning

Triggers, Alerts, and Actions

Automate actions or notifications based on the results of your Elasticsearch analytics. Easily send notifications with data attached or invoke a webhook to initiate a process in a downstream application.

Kibana Alternative

One of the challenges companies face when using Elasticsearch for business intelligence is that Elasticsearch manages data in JSON documents and has no support for SQL. 

This means traditional BI tools like Power BI and Tableau don’t work with Elasticsearch without a lot of help. That help comes from development teams and massive engineering efforts to move Elasticsearch data into a relational database.

Kibana is a good solution for more technical users where a single Elasticsearch index is the only source of data for visualizations.

But how often does that happen these days? If you’re a typical company, you have a diverse data stack that includes Elasticsearch and a good number of other database technologies.

This is where Knowi comes in.

Unlike with Kibana dashboards, with Knowi you can visualize data across multiple indexes. You can dynamically blend data from other sources, like relational data stores or REST-APIs. And you can accelerate your Elasticsearch analytics projects by avoiding custom development.

Knowi natively supports SQL-style queries even when working with NoSQL datasources like Elasticsearch. So the problem of getting Elasticsearch to work with traditional BI tools is eliminated. 

How does Knowi compare with Kibana?

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  • Native Integration to Elasticsearch
  • Supports AWS Elasticsearch
  • Number of Supported Visualizations
  • Integrated Machine Learning
  • Share and Embedd Dashboards
  • Blend Across Indexes
  • Blend with Other NoSQL or Relational Data
  • Natural Language Queries

Knowi

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  • 40+
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Kibana

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  • 17
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Confused about which ElasticSearch Analytics tool to choose for your team?

Read our detailed comparison of different tool and then make a choice.

Hundreds of companies trust Knowi to unify their analytics

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Frequently Asked Questions

Some of our customers do deploy Knowi and Kibana together and use one or the other depending on the application. But the more common case is to use Knowi as a Kibana alternative. This is because it can duplicate the things Kibana does well, but can also do analytics with multiple databases and REST APIs.

Yes, Knowi can natively connect to AWS versions as well.

Yes. Although the Type field in Elasticsearch is being depreciated. So we would recommend another approach.

Not sure how to move on from the Type field? Send us an email to support@knowi.com. We would love to help you come up with a solution.

Need to scale beyond Kibana for Elasticsearch Analytics?

Experience AI Data Analytics across any data source with Knowi

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