Software Alternatives & Reviews

Kibana VS Amazon EMR

Compare Kibana VS Amazon EMR and see what are their differences

Kibana logo Kibana

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Kibana Landing page
    Landing page //
    2023-10-21
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Kibana videos

Analyzing Server Logs with Kibana

More videos:

  • Review - Grafana vs Kibana | Beautiful data graphs and log analysis systems

Amazon EMR videos

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Category Popularity

0-100% (relative to Kibana and Amazon EMR)
Monitoring Tools
100 100%
0% 0
Data Dashboard
23 23%
77% 77
Log Management
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kibana and Amazon EMR

Kibana Reviews

Top 10 Grafana Alternatives in 2024
Assess how well the Grafana alternative integrates with your existing tools stack. For instance, Kibana is best suited for Elasticsearch environments, while Middleware is the most advanced solution to operate and monitor in Kubernetes environments.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Kibana is an integral component within the Elastic Stack (ELK), offering advanced visualization and analysis capabilities. Beats, which is also a part of the ELK Stack, is responsible for collecting and forwarding log data to Logstash for initial processing. Logstash, in turn, applies various data transformations and subsequently stores the processed data in Elasticsearch....
Source: signoz.io
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Lastly, the Elastic Stack (ELK Stack) is a well-known tool for Linux performance monitoring. It’s composed of Elasticsearch (full-text search), Logstash (a log aggregator), Kibana (visualization via graphs and charts), and Beats (lightweight metrics collectors and shippers).
Source: sematext.com
4 Best Open Source Dashboard Monitoring Tools In 2019
Kibana is part of Elastic’s product suite and is often used in what we call an ELK stack : ElasticSearch + Logstash + Kibana.

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kibana mentions (0)

We have not tracked any mentions of Kibana yet. Tracking of Kibana recommendations started around Mar 2021.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
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What are some alternatives?

When comparing Kibana and Amazon EMR, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Prometheus - An open-source systems monitoring and alerting toolkit.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost