What is better Sisense or Apache Hadoop? Finding the best Data Analytics Software for your company is crucial to improving your company’s efficiency. In our platform, it is simple to compare different solutions to see which one is the proper software for your needs. Here you can match Sisense vs. Apache Hadoop and check out their overall scores (9.7 vs. 9.8, respectively) and user satisfaction rating (99% vs. 99%, respectively).
You can even analyze the details of costs, terms, plans, features, tools, and more, and determine which software offers more advantages for your business. In practice, choose the software that lets you to change the features and pricing to complement your sales growth or lack of it.
We did our best to prepare reviews of all popular Business Intelligence Software services offered on the market, but among them these three caught our special attention: Sisense, Looker, Sisense for Cloud Data Teams.
Sisense pricing is offered on a by quote basis. The vendor provides a flexible annual pricing plan that is scalable and caters to companies of various shapes and sizes. Specific rates are available upon request. Depending on the size of your company and the scale of your operations you’ll receive a proper quote adjusted to your specific needs. If you want to get more details about the enterprise pricing of Sisense you can request a quote here.
There is also a great free trial plan that allows you to test the software’s capabilities and see how profitable it can be for your company. You can easily sign up for Sisense free trial here.
Sisense provides APIs and additional developer tools that let you interact with the Sisense platform. These tools give you more options and flexibility for managing, enhancing and customizing the functionality and user experience of the Sisense platform.
Applications:
Salesforce
Zendesk
QuickBase
Google Adwords
Google Analytics
Google Spreadsheets
Amazon Redshift
Heroku Postgres
Database Servers:
MS SQL Server
Oracle Database
MySQL Database
PostgreSQL
DB2
Generic ODBC Driver
Generic OleDB Driver
ERP
MongoDB
Machine Data:
Splunk
Big Data Sources:
Hadoop Hive
Teradata
Custom:
Custom SQL expression
Social networks via RSSBus
Common CRMs via RSSBus
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Skullcandy, Nasdaq, Air Canada, MarcomCentral
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 leading and award-winning software for preparing, analyzing, visualizing, and organizing data for your business. Sisense brings innovative and intelligent technology designed to address inquiries directly through a single channel, as well as gather and present your data as relevant insights that you can share using interactive dashboards.
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.
In the event you are still having second thoughts about which app will perform best for your company it may be a sound idea to check out each service’s social metrics. These metrics are frequently a sign of how popular every software is and how wide is its online presence. For instance, in case of Facebook Sisense has 6402 likes on their official profile while Apache Hadoop profile is liked by 1552 people.
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