
Tricount
Settle Up
Splid
Spliit
YNAB
ihatemoney
Splitser
Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!

Azure Databricks
Arcadia Enterprise
Apache Kudu
ATLAS.ti
Yandex.Metrica
AWS Trusted Advisor
Confluent
MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | splitwise.com | microsoft.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of MyAnalytics yet.
Walkthroughs and reviews on video.
Splitwise - iPhone App Review! [2020]
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External articles and on-site reviews we used to compare the two products.


Splitwise is among the most commonly used group payment apps that can easily keep a systematic record of all your informal debts including restaurant bills, travel expenses, cost of accommodation, and much more. With...
Splitwise employs an intelligent algorithm to calculate the exact amount owed by each user. It shows who paid for what, how much amount was paid by each member, and any outstanding balances. Furthermore, the...
For example, shared items like appetizers would be split among the entire group or just a few people in the group. The app can handily accommodate large parties by allowing you to add up to 10 people to each group....
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When comparing Splitwise and MyAnalytics, you can also consider the following products.


Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
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SETTLE UP is an indispensable app for friends and flatmates who need to keep track of shared bills...
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Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.
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Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
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