Beyond Kibana on Elasticsearch
While Kibana is great for simple use cases on ElasticSearch, providing true business friendly analytics using Kibana is a challenge. If you're a typical company, you have a diverse data stack that includes Elasticsearch and probably a good handful of other database technologies.
With Knowi you can visualize data across multiple indexes. You can dynamically blend data from other sources, like relational data stores or REST-API. You can create secure, embeddable analytics with Natural Language Processing, Machine Learning and other fanciness in a jiffy to transform business and customer outcomes.
Joins: Multiple Indexes, Other SQL and NoSQL databases
Knowi allows you to combine and join across indexes, other SQL and NoSQL databases, REST APIs and other sources on the fly. Knowi eliminates the need for ETL/ELT on your Elasticsearch data analytics with native analytics on it.
Business User Friendly
Your business teams will love they can get answers from their Elastic data, instantly, with natural language self-service analytics. Just type in questions in English, GPT style and get answers back right away.
Embed Elasticsearch Dashboards
Create new data products by embedding Elasticsearch dashboards directly into your applications for customer facing applications.
Enterprise grade Security and Governance
Control which documents can be seen by whom, with ACL for indexes and document level security. Knowi also provides a unique data model concept on results of queries to enable fine grained security and goverance.
Combine hindsights with foresights with our machine learning workbench, by integrating machine learning directly into your ElasticSearch data analytics workflows and automatically trigger actions based on resulting calculations.
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.
Knowi is Your Kibana Alternative for Business Intelligence
Kibana is a good solution for more technical users where a single Elasticsearch index is the only source of data for visualizations.
How often does that happen these days? If you're a typical company, you have a diverse data stack that includes Elasticsearch and probably a good handful of other database technologies. If this describes you're data stack, the Knowi is a better option for analytics instead of Kibana.
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-API. You can accelerate your Elasticsearch analytics projects by avoiding custom development.
|Native Integration to Elasticsearch|
|Supports AWS Elasticsearch|
|Number of Supported Visualizations||40+||17|
|Integrated Machine Learning|
|Share and Embedd Dashboards|
|Blend Across Indexes|
|Blend with Other NoSQL or Relational Data|
|Natural Language Queries|
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