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Compare Apache Spark vs RapidMiner

What is better Apache Spark or RapidMiner? Today’s corporations look for the top Data Analytics Software product to continue to be competitive. On this page we help you with choosing the right product, by allowing you to examine Apache Spark and RapidMiner down to the very details of their individual modules.

It's also possible to examine our overall scoring values, which rate the software all round quality and performance. Apache Spark got a 9.8 score, while RapidMiner has a score of 8.0. Likewise, it is possible to compare their general user satisfaction rating: 97% (Apache Spark) against 100% (RapidMiner). Keep in mind to choose the solution that best matches your most crucial priorities, not the solution with the most robust features.

We did our best to prepare reviews of all popular Data Analytics Software products that you can find on the market, but among them these three caught our special attention: IBM Watson Analytics, IBM Business Analytics, Apache Hadoop.

NOAWARDS
YET

SmartScore™

OUR SCORE 9.8

User Satisfaction

CUSTOMER EXPERIENCE 97%

Pricing

Free

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Generality
  • Combine SQL, Streaming, and Complex Analytics
  • Run Workloads 100 Times Faster
  • Ease of Use
  • Runs Everywhere
  • Standalone Cluster Mode
  • Deploy to Cloud Environments
  • Stack of Libraries Which Can be Combined in The Same Application
  • Spark SQL
  • Mix SQL Queries with Spark Programs
  • Uniform Data Acess
  • DataFrame API
  • Spark Streaming
  • Build Scalable and Fault-Tolerant Streaming Applications
  • High-Level Streaming Operators
  • Combine Streaming with Batch and Interactive Queries
  • Machine Learning
  • High-Quality Algorithms
  • Usable in Java, Scala, Python, and R
  • Seamlessly Work with Both Graphs and Collections
  • Fast Graph Processing System
  • Graph Operators and Algorithms

Pricing Info

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.

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

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

Integrations

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

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.

Company Email

apache@apache.org

Contact No.

Company's Address

The Apache Software Foundation
401 Edgewater Place, Suite 600
Wakefield, MA 01880
U.S.A.

NOAWARDS
YET

SmartScore™

OUR SCORE 8.0

User Satisfaction

CUSTOMER EXPERIENCE 100%

Pricing

Starting from $2,500

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Visual Workflow Designer
  • Data Access and Management
  • Data Exploration
  • Descriptive Statistics
  • Graphs and Visualization
  • Data Prep
  • Data Sampling
  • Data Partitioning
  • Data Replacement
  • Weighting and Selection
  • Similarity Calculation
  • Clustering
  • Market Basket Analysis
  • Bayesian Modeling
  • Modeling Evaluation
  • Scoring
  • Automation and Process Control

Pricing Info

RapidMiner offers three SMB and enterprise pricing plans for users to choose from. Give the details a look, and select your plan:

FREE

w/ 30-Day Large Trial

  • 10,000 data rows
  • 1 logical processor
  • Community support

SMALL

$2,500/user per year

  • 100,000 data rows
  • 2 logical processors
  • 2x performance improvements
  • Auto model
  • Enterprise support

MEDIUM

$5,000/user per year

  • 1,000,000 data rows
  • 4 logical processors
  • 4x performance improvements
  • Auto model
  • Enterprise support

LARGE

$10,000/ user per year

  • Unlimited data rows
  • Unlimited logical processors
  • 10x+ performance improvements
  • Auto model
  • Background process execution
  • Enterprise support

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

GE, Salesforce, Domino's, BMW

Integrations

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

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.

Company Email

inquiries@rapidminer.com

Contact No.

Company's Address

10 Milk Street, 11th Floor
Boston, MA 02108
USA

Sisense

Partner

This product is our partner, which means they paid for being featured as one of the suggestions. Our team takes great care to ensure all sugested products are reliable, top-quality solutions.

SmartScore™

OUR SCORE 9.7

User Satisfaction

CUSTOMER EXPERIENCE 99%

Pricing

by quote

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Ad-hoc analysis
  • In-house set up
  • Centralized data hub
  • Non-programming/SQL writing business query
  • Data collection, filtering, consolidation & storage
  • Data connectors
  • Data export to various formats
  • Scalable data handling
  • Scalable analytics
  • Drag-and-drop functionality
  • No restrictions on data size
  • Embedabble widgets & dashboards
  • Widgets library
  • Apps & sites integration
  • Single-Sign-On
  • Visualizations
  • Metrics identification

Pricing Info

Sisense pricing is offered on a by quote basis. The vendor provides a flexible annual pricing plan that is scalable and caters to companies of various shapes and sizes. Specific rates are available upon request. Depending on the size of your company and the scale of your operations you’ll receive a proper quote adjusted to your specific needs. If you want to get more details about the enterprise pricing of Sisense you can request a quote here.

There is also a great free trial plan that allows you to test the software’s capabilities and see how profitable it can be for your company. You can easily sign up for Sisense free trial here.

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

NASDAQ, Merck, Dannon, Booking, Comcast, NASA, ESPN, Sony

Integrations

Sisense provides APIs and additional developer tools that let you interact with the Sisense platform. These tools give you more options and flexibility for managing, enhancing and customizing the functionality and user experience of the Sisense platform.

Applications:

  • Salesforce
  • Zendesk
  • QuickBase
  • Google Adwords
  • Google Analytics
  • Google Spreadsheets
  • Amazon Redshift
  • Heroku Postgres

Database Servers:

  • MS SQL Server
  • Oracle Database
  • MySQL Database
  • PostgreSQL
  • DB2
  • Generic ODBC Driver
  • Generic OleDB Driver
  • ERP
  • MongoDB

Machine Data:

  • Splunk

Big Data Sources:

  • Hadoop Hive
  • Teradata

Custom:

  • Custom SQL expression
  • Social networks via RSSBus
  • Common CRMs via RSSBus

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

Sisense is the winner of the 2018 Best Business Intelligence Software Award. It lets you join, analyze, and visualize all the data you want.

Company Email

info@sisense.com

Contact No.

Company's Address

88 Pine Street, 18th Floor, New York, NY 10005, United States

Both Apache Spark and RapidMiner were tested by a team of reliable SaaS experts who conducted a thorough analysis of all core aspects of each solution. Their total score was prepared with unique SmartScore system which gives an individual partial score to every component including: main features, client support, mobile support, security, user satisfaction and media presence. Here at FinancesOnline we know useful features are not the only aspect important to a company so we do our best to pay attention to all facets of a product before calculating its final score.

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