Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.
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Sigma
Score 8.7 out of 10
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Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.
Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.
Whenever there’s data that need to be analyzed, visualized or simply aggregated in a pivot table, Sigma is the perfect tool for the job: it helps build rich data dashboards, including charts, tables, colors and more. It connects with several alternatives of external sources such as Google BigQuery, Google Drive, other database engines or tabular data files.
Formatting: On workbooks and dashboards, it can sometimes be difficult to make the page elements align correctly.
When creating and setting up datasets, having a temporarily row-limiting option when editing would help a lot, particularly on anything with a large number of rows.
Scheduling reports to be sent out can be tricky if the request is something like "Last Monday of each month".
Being able to export an xls with conditional formatting would be helpful in some cases.
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
Support team is helpful in answering questions and providing help with using the UI. There are knowledgeable people within the support team. There are also good online support tools. There are significant community support resources available. There is however lack of a live support. It would be useful to have live phone number or chat to use.
Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma very easily. In these other platforms data manipulation is difficult or must be done in the data warehouse
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.