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Why Knowi is Different

The plethora of tools required to cobble the data stack together has not lived up to its hype on driving business value. Knowi is a rethink of the whole process from raw data to business user insights.

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Elasticsearch Native Integration, Reporting and Visualization​

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
AI powered Analytics
Share and embed dashbaords
Works on any device

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Elasticsearch Analytics Features

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.

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.

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.

Embedded Mongo 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.

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.

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?

a

  • 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

  •  
  •  
  • 30+
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  •  
  •  
  •  
  •  

Kibana

  • ✔
  • ✔
  • 17
  • ✔
  • ✔
  • ✗
  • ✗
  • ✗

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 Elastic Analytics?​

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