One of the challenges most companies face when using Elasticsearch for business intelligence is Elasticsearch manages data in JSON documents and has no support for SQL. This means traditional BI tools like Tableau and Looker 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. It's time that changed!
Welcome to Knowi. Knowi is a leading provider of native analytics on Elasticsearch.
Accelerate Time to Insights
Knowi shaves weeks of time off your Elasticsearch data analytics projects by eliminating the need for ETL or custom coding to move your Elastic data.
Natural Language Queries
Your business teams will love they can get answers from their Elastic data, instantly, with natural language self-service analytics.
Embed Elasticsearch dashboards
Create new data products by embedding Elasticsearch dashboards directly into your applications and open up new revenue opportunities
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||30+||17|
|Integrated Machine Learning|
|Share and Embedd Dashboards|
|Blend Across Indexes|
|Blend with Other NoSQL or Relational Data|
|Natural Language Queries|
Select Boolean operations for the filter: