Elasticsearch Analytics & Reporting
Build Elasticsearch reports and data visualizations in real-time with true native integration
Try this live Elasticsearch analytics example
You can use this Elasticsearch example instance below to see how to query and visualize Elastic data with Knowi. Hit the Show Me button to give it a try. You can also change the settings and customize the query.
Ready to try Knowi with your Elasticsearch data?
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?
Knowi
- Native integration to Elasticsearch
- Supports AWS Elasticsearch
- 30+ Visualizations
- Integrated machine learning
- Share and embed dashboards
- Blend data across indexes
- Blend data with other NoSQL or relational databases
- Seach-based analytics
- Slack integration
Kibana
- Native integration to Elasticsearch
- Supports AWS Elasticsearch
- Only 17 visualizations
- Integrated machine learning
- Share and embed dashboards
- Blend data across indexes
- Blend data with other NoSQL or relational databases
- Seach-based analytics
- Slack integration
Need to scale beyond Kibana for Elastic analytics?
Check out some of our recent Elasticsearch analytics blog posts
Want to read more about integrating Elasticsearch with Knowi? Check out these blog posts where we go much more in depth.
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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.
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.
Ready to see how Knowi is different?
Frequently Asked Questions
Questions and answers about analytics and reporting on Elasticsearch and Kibana
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.
Features of using Knowi for Elasticsearch analytics & reporting
- 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
- Share and embed dashboards to internal groups or via a simple URL
- Works on any device
- Choose from nearly 30 different visualization options
- Interactive filters
- Drilldowns
- Natural Language Processing
- Machine Learning
- 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