What is better Apache Spark or GoodData? With different functions, pricing, details, and more to compare, finding the right Data Analytics Software for your company is tricky. Nevertheless making use of our system, it is simple to match the features of Apache Spark and GoodData as well as their general SmartScore, respectively as: 9.8 and 9.0 for overall score and 97% and 95% for user satisfaction.
You can also review them feature by feature and find out which software is a better fit for your enterprise. Remember to use a demo first before subscribing to experience how the software works in real setting.
In the event you want to quickly locate the optimal Data Analytics Software according to our experts we suggest you check out one of these services: Apache Spark, Apache Hadoop, IBM Business Analytics.
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.
Almost as essential as features and client support quality are pricing plans provided by Apache Spark and GoodData. Although cost should not be a deciding aspect it’s without a doubt an important thing to think about. You should expect a flexible pricing package that can be adjusted to your company size and painlessly scaled up if your company grows. Be sure that you don’t choose plans that include extra features that you won’t use and always try to get in touch with the vendor directly as enterprises can often count on more affordable prices. You should also try out a free trial or demo of each service to spend at least some time on actual work with the system. It’s a helpful experience that doesn’t ask you to spend any money and gives you a reliable overview of what it feels like to work with Apache Spark and GoodData.
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