Apache Spark
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Interactive & customizable dashboards
- Drag-and-drop dashboard builder
- Real-time analytical server
- Embedded analytics for any program or application
- White labelling
- Up-to-cell level security
- Integration with Enterprise or OEM architectures
- Native R integrations for advanced forecasting
- Real time-in memory server
- Made for very sparse & high dimensionality systems
- Dynamic creation of new classifications / hierarchies (real time)
- Direct access to Java & R from MDX
- XMLA interface to integrate with external tools
- PDF Printing
- Corporate identity
- Creating your own widgets
- High-quality support
- Quote-based pricing
Pricing Info
Pricing Info
Embedded Analytics Plans
- Startup Projects – Contact the vendor for a quote
- Tailored Plan – From $23k/year + royalties
- Fixed Plan – From $62.5k/year
Self-Hosted BI Plans
Community Plan – Free
- 1 User
- 1 Instance
- 512 MB Memory
Enterprise Plan – $695/month (billed annually)
- Price Per User – $6.95/user/month
- Max Users – 100
- 1 Instance
- 32 GB Memory
- Comments
- On Demand Printing
- Real Time
Enterprise Plus Plan – $1450/month (billed annually)
- Price Per User – $1.45/user/month
- Max Users – 1000
- 1 Instance
- 32 GB Memory
- Comments
- On Demand Printing
- Real Time
- Big Data Features
Corporate Project Plan – $5250/ month (billed annually)
- Unlimited Users
- Project-Based Instances
- Unlimited Memory
- Comments
- Printing
- Real Time
- Big Data Features
Cloud BI Pricing
Based on your Cloud BI requirements, the vendor offers a custom solution and tailored pricing model that fits your project. Create your cloud account on the vendor website and get a personalized quote for your needs.
Integrations
Integrations
icCube was developed to integrate into literally -any- other solution or software. It can be a web application, desktop application, mobile application or even smart TV or IOT services.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
FIDELIZE, Newton Energy Group, Rakuten
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
icCube is an embedded analytics & data reporting platform designed for developing businesses and enterprises.
Company Email
sales@iccube.com
Contact No.
Company's Address
icCube Software
Route de la Pierre 22
1024 Ecublens
Switzerland
icCube Comparisons
Popular icCube 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
Every time you select a software that you believe will work best for your company you shouldn’t only pay attention to what reviewers have to say about it. Very often personal experience with the solution may be different, depending on specific goals and needs. That’s the reason why in our reviews we also provide our User Satisfaction Rating for every product to give you an immediate impression of how actual users of icCube and Apache Spark estimate their experience with the solution. Our system is based on detailed analysis of product mentions on other websites, social networks and blogs, so you are going to obtain a full and credible overview of what other users think about every product. In this example icCube got a total satisfaction rating at 100% while for Apache Spark 97% of people say they had a positive experience with it.
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