What is better Logz.i or Apache Hadoop? There is a wide range of Data Analytics Software products out there these days. The simplest way to find out which app fits your needs best is to compare them side by side. For instance, here you can examine Logz.i and Apache Hadoop for their overall score (8.9 vs. 9.8, respectively) or their user satisfaction rating (100% vs. 99%, respectively).
You can also check their capabilities and pricing stipulations along with other useful facts below. When matching products make sure to compare their similar functions and mark their differences to obtain a clearer picture of both deals. What is more remember to evaluate secondary features such as security, backup, ease-of-use, and customer service.
In case you you need to quickly find the optimal Data Analytics Software according to our experts we advise you try out the following products: Apache Hadoop, Apache Spark, IBM Business Analytics.
Apache Hadoop 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, production, commercial, or open source development purposes for free. Thus, you can use Apache Hadoop with no enterprise pricing plan to worry about.
Apache Hadoop integrates with the following open source projects and solutions from The Apache Software Foundation and third-party file systems:
Ambari
Avro
Cassandra
Chukwa
HBase
Hive
Mahout
Pig
Spark
Tez
ZooKeeper
YARN
Amazon S3
Azure Blob Storage
OpenStack Swift
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hortonworks, Inc., Uber Technologies, Inc., McKinsey & Company
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
A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.
If you research various Data Analytics Software products you shouldn’t only study their list of features and offered pricing plans. Consider that the solution must be matching your requirements and team so the more flexible their offer the better. Check what platforms are supported by Logz.i and Apache Hadoop and make sure you will get mobile support for whatever devices you use in your company. It may also be a good idea to find out which languages and countries are supported, as this could be a key element for many firms.
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