What is better Reveal or Apache Spark? If you wish to get a convenient way to find out which Data Analytics Software product is better, our unique method gives Reveal a score of 9.4 and Apache Spark a score of 9.8 for all round quality and performance. At the same time, Reveal is rated at 100%, while Apache Spark is rated 97% for their user satisfaction level.
You can also assess their product details, such as functions, tools, options, plans, pricing, and others. Check whether the solution can customize at least part of its workflows to guarantee the app matches your own business processes.
People who don't have much time or could use a Business Intelligence Software recommendation from our experts may want to take a look at these top choices for the current year: Sisense for Cloud Data Teams, Sisense, Looker.
Reveal offers a flat-rate pricing model with no hidden fees, ensuring seamless analytics integration at a cost-effective rate. Contact the vendor for a quote.
Reveal integrates seamlessly with on-premise SQL databases and Hadoop Hive. It works seamlessly with the following third-party applications:
Facebook
Google Analytics
Google Drive
AppFigures
Box
CRM
DropBox
Excel
Microsoft Analysis Services
Microsoft Reporting Services
OData
One Drive
Oracle
PostgreSQL
Microsoft SQL Server
MySQL
Salesforce
SharePoint
Sybase
Twitter
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
Reveal enables you to analyze significant business metrics in a centralized and self-service BI platform. It delivers reports and analytics in a highly visual presentation that you can customize and embed in integrated third-party applications. Reveal's reports are also interactive and accessible in all devices along with its real-time dashboards.
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 keep in mind that even though both Reveal and Apache Spark may offer an outstanding set of features each software might be designed for a different business size. If you are analyzing various solutions you may want to pay attention to a business type they are meant for. Some elements could scale up with no problem for big enterprises but if you have a small or medium company it’s often more sensible to stay away from paying for advanced functionalities that you might never use.
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