What is better Apache Spark or RapidMiner? Specific organizations want different types of Data Analytics Software. To understand well which one fits your needs, think about comparing various alternatives feature by feature an taking into consideration their conditions and costs. Likewise, you can get a quick idea of their general efficiency and customer feedback by having a look at our smart scoring system.
The results are: Apache Spark (9.8) vs. RapidMiner (8.0) for overall quality and performance; Apache Spark (97%) vs. RapidMiner (100%) for user satisfaction rating. Check out their high and weak points and find out which software is a better choice for your company. A simple, practical tactic is to note down the strengths and weaknesses of both solutions next to each other and find out which software comes on top.
People who want to save some time or would like to get a Data Analytics Software advice from our experts might want to examine these top choices for this year: IBM Business Analytics, Apache Spark, Apache Hadoop.
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.
RapidMiner supports integrations with the following business systems and applications:
KNIME
QlikView
R Integration
Python
Splunk
Algar Tecnologia
AncudIT
Applied Intelligence Analytics
Avantgarde Labs
Aviation Analytics
Basis06
BIVAL GmbH
Clairvoyant Lab
CRMT
CROC
Data2Fact
Datalytics
Dataminingtools
Data Technology
EXAConsult
GloriSys
Horn and Company
Inteleqt
Itecor
KSK Analytics
Lince
Microsystem
Mayato
Neural Market Trends
NewElements
Nextint
OptimalBI
PiCube
Quandatics
Simple Complexity
Sintec
SYNERGY
Think Evolve Solve
Xomnia
Actian
Cloudera
DataStax
Data Mining Group
Hortonworks
Jaspersoft
Talend
MapR
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
GE, Salesforce, Domino's, BMW
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
RapidMiner is a visually-based data science software that accelerates creating predictive analytics models and makes it easy to get the results embedded in business operations.
Both Apache Spark and RapidMiner were evaluated by a panel of reliable SaaS experts who conducted a full study of all crucial aspects of every service. Their total rating was calculated by means of unique SmartScore algorithm that calculates a separate partial score to every component like: main functionalities, customer support, mobile support, security, client satisfaction as well as market presence. We realize useful features are not the only aspect important to a business so we make sure we pay attention to all sides of a product prior to coming up with its final score.
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