Apache Spark
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Quality Control
- Reproducible Results
- Automatic Report Updates
- Full R Language Support
- Drag-and-Drop Variable Manipulation
- Statistical Testing
- Data Import
- Data Analysis
- Data Visualization
- Data Publication
Pricing Info
Pricing Info
Displayr has two straightforward enterprise pricing options for commercial organizations and educational institutions. The fees are to be paid in an annual basis and the packages assume that creators use the application for 40 hours per week. Additionally, the licenses allow unlimited viewers.
- Annual License – $3,999.00/creator/year
- Educational License – $2,499.00/creator/year
Integrations
Integrations
Displayr can import data from produced by common applications such as:
- Google Drive
- Box
- Dropbox
- OneDrive
- Quora
- Excel
- SPSS
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A data science and visualization application that is easy-to-use for novices but powerful for data specialists.
Company Email
support@displayr.com
Contact No.
Company's Address
Displayr Australia Pty Ltd
65 Bellevue St
Glebe, NSW 2037
Australia
Displayr Comparisons
Popular Displayr Alternatives
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.
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
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
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.
Apache Spark Comparisons
Popular Apache Spark Alternatives
It may not always be sufficient to just compare Displayr and Apache Spark against each other. While specific functionalities, pricing and user reviews are all important and should be considered when making a final choice, you should also take a look at the recognition and awards claimed by every solution. In many cases a less popular solution may turn out to be an amazing choice that was distinguished with industry awards such as our Exceptional Customer Support Award which reveals that despite smaller market popularity it’s a worthy rival to the products that dominate the market.
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