1.
Privileges against Roles Assigned
Accessibility to Kibana’s dashboard is totally dependent on the privileges
assigned. These privileges are classified into two:
•Base Privileges: Wherein a user can access all the features in the
dashboard. This accessibility can be read & write functionality or might be
restricted to read functionality only.
•Feature Privileges: It again works on the same lines of reading and writes
accessibility. The only thing here is that you might be able to work on a
specific set of features.
In the case of Grafana, user permission is determined by:
•What position does a user hold in the organization.
•Accessibility permission granted to individual teams.
•Permission granted to access specific folders/dashboards.
•Admin access which helps administer accessibility rights of all the
employees

2.
Tool Functionalities
Kibana with its perceptive usability, is of
prominent help at following things:
•Its time visual builder combines multiple
timelines into one. And still it conveys across
meaningful data representation.
•Provides the geographical relevance of the data.
•Data can be represented through a variety of
visual representations like line, bar, heatmap,
pie charts etc.
When it comes to Grafana, below mentioned are
some of the key functionalities:
•Visualization of data via heatmaps and
histograms.
•Visual representations for whenever it observes

3.
Logs and Metrics Form the Core of
their Working
Kibana basically analyzes the logs
collected because of servers and
virtual machines’ operations. All
this function is boosted by Log app
in Kibana wherein the display of
results is customizable.
Grafana, on the other hand, is
capable of analyzing and visualizing
the data from the metrics. To quickly

4.
Differences Between Grafana and Kibana
Below are the key differences between Grafana vs Kibana:
•Kibana offers a flexible platform for visualization; it also gives real-time
updates/summary of the operating data. Grafana is built for cross platforms;
it is mostly integrated with Graphite, InfluxDB, and Elasticsearch.
•Grafana is developed mainly for visualizing and analyzing metrics such as
system latency, CPU load, RAM utilization, etc., it does not support full-text
queries. Kibana, on the other hand, supports text querying along with
monitoring.
•Grafana is mainly designed as a User Interface tool for better interaction
with the users; it accepts data from multiple plugin data from various
sources. Kibana is designed specifically to work with the ELK stack.
•Kibana is quite rigid when it comes to taking data, but there are plugins to
integrate the ELK, which is used by kibana.

5.
Differences Between Grafana and Kibana
Below are the key differences between Grafana vs Kibana:
•Kibana is developed using Lucene libraries; for querying, kibana follows the
Lucene syntax. Grafana, on the other hand, uses a query editor, which
follows different syntaxes based on the editor it is associated with as it can
be used across platforms. For example, queries to Prometheus would be
different from that of queries to influx DB.
•Grafana supports built-in alerts to the end-users; this feature is implemented
from version 4.0. It can send alerts to the user’s email if it finds any unusual
data while monitoring. Kibana by itself doesn’t support alerts yet, but with the
help of plugins, it can be made possible.
•Kibana is integrated with the ELK stack when the data is stored; it is
indexed by default, making its retrieval very fast. Grafana doesn’t have an
indexing mechanism like kibana and is slower.

6.
Alert System Procedure
Kibana alert systems are its first-class
entities and work on the following possibilities
which lead to alert:
•Same user but different location logging.
• Content going viral on social media.
• If credit card numbers are visible in
application logs.
Users have the privilege of managing the alert
system within a single user interface. Also,
they can analyze from the alert history about
the actions taken for a particular alert.
In Grafana a user can define its alert visually,
for the most important metrics. It also gives
the option to the users as to how often the

7.
Similarities Between Kibana and Grafana

8.
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