What is better Apache Spark or Daton? We are here to streamline the whole process of reviewing Data Analytics Software products for you. For instance, on this page you can look at the overall performance of Apache Spark (9.8) and contrast it with the overall performance of Daton (8.0). You can also match their overall user satisfaction rating: Apache Spark (97%) vs. Daton (100%).
What’s more, lexamine their services in detail to see which product can better deal with your company’s needs. Generally, any business solution should allow you to quickly see the big picture, at the same time allowing you immediate access to the details.
We are aware that not all companies have the time to try out a wide range of various products, so we created a list of recommendations that you may find useful. Our top choices for the Data Analytics Software category are: Apache Hadoop, Apache Spark, 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 level are pricing options made available by Apache Spark and Daton. Although cost should not be the only element it’s without a doubt a key thing to consider. You should try to find a flexible pricing package that can be matched with your company size and effortlessly scaled up when your company grows. Make sure you don’t choose plans that include complex features that you won’t use and always try to get in touch with the vendor directly because enterprises can often benefit from discounts. You should also try out a free trial or demo of each product to spend at least some time working with it. It’s a useful experience that doesn’t require you to invest any money and provides you with a practical overview of what it’s like to work with Apache Spark and Daton.
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