Apache Spark
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
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
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
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
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Drag-and-drop visualizations
- Smart Search feature
- Fast and reliable connections to multiple data sources
- Access to real-time analytics anytime, anywhere
- Data storytelling functionality
- Self-service simplicity
- Shared Object Library
- Progressive Creation
- Managed Data Connections
- Rapid Development Environment
- Powerful Open and Standard APIs
- Multi-source data integration including big data
- Manageability
- Enterprise-level security
- Scalability
Pricing Info
Contact Qlik Sense directly to discuss pricing details and get a quote.
Integrations
Qlik is source agnostic and can integrate with virtually any data source.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Fila, Cisco, McAfee, Canon, Qualcomm
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 smart and user-friendly analytics tools that can generate personalized reports and very detailed dashboards in an instant.
Company Email
Contact No.
Company's Address
150 North Radnor Chester Road, Suite E-120, Wayne, PA 19087, United States
Qlik Sense Comparisons
Popular Qlik Sense Alternatives
In case you are still having second thoughts about which product will work best in your case it may be a good idea to take a look at each service’s social metrics. These metrics are frequently a sign of how popular each app is and how big is its online presence.For instance, if you look at Apache Spark LinkedIn account you’ll find out that they are followed by 21520 people. In case of Qlik Sense the volume of followers on their LinkedIn page is 2002.
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