What is better Board or Apache Spark? Buying the ideal Data Analytics Software for your business is key to improving your company’s efficiency. In our platform, you can easily compare a wide range of solutions to see which one is the appropriate software for your requirements. Here you can match Board vs. Apache Spark and check out their overall scores (9.0 vs. 9.8, respectively) and user satisfaction rating (100% vs. 97%, respectively).
It's also possible to look at the specifics of rates, terms, plans, functions, tools, and more, and determine which software offers more advantages for your business. In practice, go for the business software which helps you to scale the features and subscription plan to match your business growth or lack of it.
In the event you need to quickly decide on the more reliable Business Intelligence Software according to our review team we advise you check out these products: Sisense for Cloud Data Teams, Sisense, Looker.
Board comes equipped with prebuilt connectors that allow it to natively integrate data from business applications, traditional and big data databases, as well as structured and unstructured repositories. Moreover, it
integrates with the following business systems and applications:
Microsoft Excel
Microsoft Powerpoint
Microsoft Word
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Coca Cola, Volkswagen, Puma
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
Board is an all-in-one business intelligence platform that combines business intelligence with performance management and data analytics. It comes both as a web-based and an on-premise platform and allows you to manage your workflows. With the software's predictive analytics, you can create plans and make adjustments to your business model and initiatives.
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.
Every time you test various Data Analytics Software solutions you shouldn’t simply explore their features list and available pricing plans. Consider that the solution should be meeting your standards and business so the more flexible their offer the better. Find our which platforms are supported by Board and Apache Spark and make sure you will get mobile support for whichever devices you use in your company. It may also be a good idea to examine which languages and countries are supported, as this may be a deal breaker for many firms.
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