What is better Ortto or Apache Spark? If you need to have a easy way to learn which Data Analytics Software product is better, our proprietary method gives Ortto a score of 8.7 and Apache Spark a score of 9.8 for all round quality and performance. Furthermore, Ortto is rated at 97%, while Apache Spark is rated 97% for their user satisfaction level.
You can also compare their product details, such as functions, tools, options, plans, prices, and many more. Check if the application can customize at least part of its funnels to ensure the app matches your own business processes.
Our team put a lot of effort to prepare reviews of all popular Marketing Automation Software products that you can find on the market, but among all the ones we reviewed these three deserved our special attention: Brevo, HubSpot Marketing Hub, Pardot.
Ortto integrates with a wide variety of third-party software for finance, sales, customer support, and ecommerce, among others. Below are some of these integrations:
Shopify
Facebook
Pipedrive
Stripe
Zapier
WooCommerce
Zendesk
Google Ads
Gorgias
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Bitly, Vodafone, Microsoft
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
Designed to collect customer data into a single platform to provide a complete view of each customer. This unified data also makes it easier for marketers to create dynamic audience segments and hyper-personalized marketing messages. Pre-made and customized marketing reports and dashboards also allow teams to accurately track campaign performance.
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 important as features and customer support responsiveness are pricing options provided by Ortto and Apache Spark. Even though cost should not be the only aspect it’s definitely a significant thing to consider. You should expect a flexible pricing package that can be adjusted to your business size and effortlessly scaled up every time your team develops. Be sure that you don’t select packages that have extra features that you won’t find useful and always try to get in touch with the vendor directly because enterprises can often benefit from special pricing. You should also try out a free trial or demo of each solution to spend at least some time on actual work with the system. It’s a valuable experience that doesn’t need you to spend any money and offers a reliable overview of what it’s like to work with Ortto and Apache Spark.
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