Apache Spark
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Pre-defined Dashboards
- Sales Dashboard
- Accounts Payables Dashboard
- Accounts Receivables Dashboard
- Inventory Dashboard
- Finance Dashboard
- Production Dashboard
- Purchase Dashboard
Pricing Info
Pricing Info
Kockpit Business Suite SMB and enterprise pricing details are available only upon request. Contact the vendor for more information.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Bikanerwala, Casio, Singer
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
Kockpit Business Suite is a business analytics platform that offers a pre-configured BI dashboard for various business aspects.
Company Email
sales@kockpit.in
Contact No.
Company's Address
Kockpit,
No.1, Bhikaji Cama Place, Rama krishna Puram, New Delhi, Delhi 110066,
India
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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.
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All the data, details and opinions that we presented in this table were gathered from official vendor pages, marketing materials available online, actual experience from real clients as well as our personal hands-on use of each solution by an expert. We put a lot of effort to extensively test each product, so we not only analyze it on our own, but we also match our findings with opinions of other users from the SaaS community.
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