What is better IBM Business Analytics or Apache Spark? If you want an effective Data Analytics Software product for your enterprise you have to make time to examine several solutions. It doesn’t have to be complicated, and can be as easy as matching their features in a table like the one below. You will also get a good idea how each product works. For example, on this page you can find IBM Business Analytics’s overall score of 9.9 and compare it against Apache Spark’s score of 9.8; or IBM Business Analytics’s user satisfaction level at 97% versus Apache Spark’s 97% satisfaction score.
The assessment will help you spot the pros and cons of each program, and make up your mind on which one suits you requirements better. On top of the main features, the solution that’s simple to grasp and use is always the better product.
People who don't have much time or would like to get a Data Analytics Software advice from our team may want to take a look at these top choices for this year: IBM Business Analytics, Apache Hadoop, Apache Spark.
IBM Business Analytics tools have different enterprise pricing. There are monthly fees and there are quote-based prices. For more information, visit the page of the particular analytics application you wish to acquire.
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.
All the data, information and statistics that we offered in this analysis were collected from official vendor sites, marketing resources available online, actual experience from real customers as well as our individual direct use of each solution by a professional reviewer. We put a lot of effort to thoroughly test every software, therefore we not only analyze it ourselves, but we also match our observations with experiences of other members from the SaaS community.
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