What is better Mode or Apache Spark? Finding the appropriate Data Analytics Software product is as easy as comparing the solid and weak functions and terms offered by Mode and Apache Spark. Here it's also possible to match their all round scores: 9.0 for Mode vs. 9.8 for Apache Spark. Or you can look at their general user satisfaction rating, 92% for Mode vs. 97% for Apache Spark.
We suggest that you spend some time to analyze their differences and figure out which one is the better option for your company. What’s more bear in mind to take into account your company’s or industry’s special circumstances, for example, a multilingual software for a global staff or a mobile version to help you work away from your office.
If you would like to quickly locate the optimal Data Analytics Software according to our experts we recommend you try out the following services: IBM Business Analytics, Apache Hadoop, Apache Spark.
Mode provides quote-based SMB and enterprise pricing packages for users to choose from. Kindly contact the vendor for the price, a demo, or a free trial.
Studio – Contact vendor
A plan ideal for individual analysts in need of basic data analytics tools.
Mode is a collaborative analytics software that provides critical insights through interactive charts and customizable reports and dashboards. The solution helps users foster a more data-driven approach to improving their processes and overall operations.
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.
If you continue having second thoughts about which service will work best for your business it might be a good idea to investigate each service’s social metrics. These metrics are usually a way to see how popular each app is and how wide is its online presence. For example Mode Twitter account has currently 6581 followers. At the same time Apache Spark Twitter is followed by 48649 people.
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