What is better Amazon QuickSight or Apache Spark? It’s easy to our scoring system to provide you with a general idea which Data Analytics Software product is better for your company. For overall product quality, Amazon QuickSight earned 8.8 points, while Apache Spark gained 9.8 points. At the same time, for user satisfaction, Amazon QuickSight scored 92%, while Apache Spark scored 97%.
Details about their functions, tools, supported platforms, customer service, and more are provided below to help you get a more precise analysis. Remember to choose only the functions your business requires so you don’t waste resources for tools which are redundant.
Those of you who are pressed for time or want a Data Analytics Software recommendation from our experts may want to take a look at these top choices for this year: Apache Hadoop, IBM Business Analytics, Apache Spark.
Amazon QuickSight integrates with the following third-party applications:
Salesforce
Square
Github
JIRA
ServiceNow
Twitter
Postgres
SQL Server
Teradata
MySQL
S3
RDS
Redshift
Athena
Aurora
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Expedia Group, Tata Consultancy Services Limited, Ricoh Company Ltd
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A cloud-based data analytics and business intelligence platform that lets users create and publish interactive data using machine learning and natural language capabilities. The self-service business intelligence solution helps you identify key business drivers, spot trends and outliers, and perform accurate what-if analysis and forecasting.
Apache Spark is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, commercial, or open source development purposes for free. Thus, you can use Apache Spark with no enterprise pricing plan to worry about.
Apache Spark integrates with some open source projects developed by The Apache Software Foundation as well as with third-party systems such as the following:
Apache Hadoop
Apache Mesos
HDFS (Hadoop Distributed File System)
Apache Cassandara
Apache HBase
Apache Hive
Hadoop YARN
Kubernetes
EC2
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Anson Abraham, Data Czar, Envisagenics, Inc; Kartik Chavan, Data Analyst, The University of Texas at Arlington; Sunil Dhage, Big Data Analyst, PSL Group
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
An easy-to-use, lightning-fast, and unified analytics software solution developed to handle computational processes and tasks on high volumes of data, process SQL queries for structured data, streamline the creation of scalable and fault-tolerant applications that execute live stream data processing, and implement graph analytics and computation in a flexible and fast manner.
In case you continue having doubts about which product will perform best in your case it may be a sound idea to investigate each service’s social metrics. These metrics are quite often an indicator of how popular a given product is and how big is its online presence. For instance Amazon QuickSight Twitter account has currently 1845918 followers. At the same time Apache Spark Twitter is followed by 48649 users.
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