What is better Nanonets or Apache Spark? Getting the most appropriate Data Analytics Software for your organization is complicated with a lot of features, options, and offers to consider. However, depending on our review directory will allow you to simplify the selection process by reading all crucial services in a single location.
As an illustration, you can compare Nanonets and Apache Spark for their functions and overall scores, namely, 8.4 and 9.8, respectively. Furthermore, you can check which product has higher general user satisfaction rating: 96% (Nanonets) and 97% (Apache Spark) to learn which one is the better choice for your business. Don’t simply pick the software with the most attractive price, but the one that offers the most cost-effective value.
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Nanonets support integration with a range of business apps, allowing users to directly import from /export to different platforms without having to leave the system. This includes:
Zapier
Google Drive
Gmail
Google Docs
Google Sheets
Dropbox
Magento
Salesforce
QuickBooks
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Grover, Deloitte, P&G
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
Nanonets use AI to automate manual data entry by instantaneously and smartly capturing data from documents.
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.
Both Nanonets and Apache Spark were reviewed by a panel of reliable B2B experts who conducted a thorough study of all key aspects of each app. Their final rating was prepared with unique SmartScore algorithm that provides an individual partial score to each component such as: main functionalities, client support, mobile support, security, user satisfaction and market presence. We know useful features are not the only thing essential to a company so we make sure we pay attention to all facets of a service prior to giving it a final score.
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