What is better Dundas BI or Apache Spark? Examining products for the top Data Analytics Software need not be complicated. On our review platform, it is possible to match Dundas BI and Apache Spark and immediately evaluate their varying features. We allow you to examine their functions, supported devices, support service, pricing, terms, and much more.
You may also review their overall score (8.4 for Dundas BI vs. 9.8 for Apache Spark) and overall customer satisfaction level (N/A% for Dundas BI vs. 97% for Apache Spark). Spend some time and assess your leading choices and determine which one is ideal for your company. You should also consider the software company’s business viability; can they be relied upon and will they still be around in a few years time?
Users who don't have much time or need a Business Intelligence Software suggestion from our experts may want to investigate these top choices for the current year: Sisense for Cloud Data Teams, Looker, Sisense.
Dundas BI offers a flexible licence-pricing model, where the price is determined on the basis of your ability to deploy and to integrate the program, the same as the scale of your business. You can contact them for more information, and give a look to their free trial that doesn’t oblige you to buy a license.
Dundas BI is an open platform that can be fully customized and programmed to embed it into existing systems, or to consolidate data from any source you have available. At the same time, its APIs are extensible, and you can always add the functionality you need, and use the platform with almost every web application.
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
email
phone
live support
training
tickets
General Info
Seamlessly integrated dashboards and data analysis platform that organizes data visualization, and enables companies to evaluate their business opportunities.
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.
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
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.
Please note that even though both Dundas BI and Apache Spark may have a reliable array of features every product might be designed for a different company size. If you are analyzing various solutions you should pay attention to a business size they are catering to. Some functionalities could scale up efficiently for big enterprises but if you run a small or medium company it’s frequently better to refrain paying for complex functionalities that you may never use.
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