
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!

MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Which is more popular?
Based on our record, Redis seems to be more popular. It has been mentioned 242 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | splitwise.com | redis.io |
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In their own words, as submitted to SaaSHub.


No description of Splitwise yet.
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis...
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 Redis yet.
Walkthroughs and reviews on video.
Splitwise - iPhone App Review! [2020]
More videos
What is Redis? | Why and When to use Redis? | Tech Primers
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Splitwise and Redis. For example, how are they different and which one is better?
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....
Redis is an exceptionally fast in-memory data store that is known for its speed and versatility. It supports a broad range of use cases, including caching, real-time analytics, and pub/sub messaging, which makes it a...
Redis is an open-source, in-memory data store used as a database, cache, and message broker for high-performance applications.
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Splitwise since Mar 2021.
Our data-plane choices are boring on purpose: Postgres, Redis, and S3-compatible object storage. Boring is a feature when the interesting question is whether yesterday's Actor still runs tomorrow. - Source: dev.to / 9 days ago
Redis is commonly used as an in-memory data store and cache. - Source: dev.to / 9 days ago
We chose Postgres and Redis, so we need both running. The app itself runs with Go on your machine, not inside Docker, because restarts are faster that way. Docker runs only the two services. - Source: dev.to / 12 days ago
When comparing Splitwise and Redis, you can also consider the following products.


MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Compare MongoDB to Splitwise or Redis:

SETTLE UP is an indispensable app for friends and flatmates who need to keep track of shared bills...
Compare Settle Up to Splitwise or Redis:

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Compare ArangoDB to Splitwise or Redis:


The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Compare Apache Cassandra to Splitwise or Redis: