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!
Organize purchase receipts, track warranty deadlines, and download a searchable offline copy with your photos and PDFs.
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Which is more popular?
Based on our record, Datahike
seems to be more popular. It has been mentioned
6 times
since March 2021.
social mentions
0 vs 6
Personal Finance popularity
100% vs 0%
alternatives listed
240+ vs 39
Base details
Website, pricing, platforms and company facts side by side.
User-Friendly Interface Splitwise provides an intuitive and easy-to-navigate interface, making it straightforward for users to add expenses, keep track of debts, and settle up.
Multi-Platform Availability Available on the web, iOS, and Android, Splitwise ensures users can access and manage their expenses from almost any device.
Expense Tracking The app allows users to easily log and categorize expenses, which can be particularly useful for group trips, shared households, or any shared financial responsibility.
Flexible Split Options Users can split expenses equally, by percentages, shares, or custom amounts, providing flexibility in how costs are divided among group members.
Currency Conversion Splitwise supports multiple currencies, which is handy for international travel or groups with members from different countries.
Bill Reminders The app sends reminders for outstanding balances, helping users to stay on top of their payments and avoid forgotten debts.
Integration with Payment Platforms Splitwise can integrate with payment platforms like PayPal and Venmo for easy settlement of balances.
Possible disadvantages
Privacy Concerns Since Splitwise involves sharing financial information with others, there could be privacy concerns for those unwilling to share detailed expense data.
Subscription-Based Features Some advanced features, such as expense exporting and additional integrations, require a Splitwise Pro subscription.
Manual Entry Requirement Splitwise requires users to manually enter expenses, which could be time-consuming and prone to errors if not done diligently.
Limited Automatic Reconciliation While Splitwise helps track who owes whom, it does not automatically reconcile or pay off balances, leaving users responsible for manual payment.
Dependency on Group Honesty The accuracy of the expense records relies on the honesty and diligence of all group members, which may not always be reliable.
Potential for Confusion The various options for splitting bills (equally, by shares, etc.) can sometimes lead to confusion or disputes among users over what is fair.
Persistence Datahike is a persistent database, which means that it retains data across sessions and can be relied upon for storage that survives application restarts.
Datalog queries Datahike supports Datalog queries, a powerful and expressive query language that is similar to Prolog, allowing for complex querying of data relationships.
Schema flexibility Datahike provides schema flexibility that allows developers to define and evolve their data models without needing to perform migrations. This can significantly speed up development.
Immutable data structures By utilizing immutable data structures, Datahike allows safe concurrent reads and writes, reducing the risk of data corruption and improving application stability.
Transactional support Datahike offers ACID-compliant transactions, ensuring data integrity and consistent state even in the face of concurrent operations.
Integration with Datomic API Datahike is designed to be compatible with the Datomic API, making it easier for developers familiar with Datomic to transition and leverage their knowledge.
Off-the-shelf scalability The architecture of Datahike is conducive to scaling horizontally, providing flexibility to handle growing amounts of data and user load.
Possible disadvantages
Relatively new ecosystem Being a lesser-known and newer alternative compared to databases like Datomic, Datahike may have a smaller community and fewer resources like documentation and third-party integrations.
Performance limitations While Datahike is designed to be lightweight and flexible, it may not match the performance of more mature databases, especially in very high-load or high-volume scenarios.
Limited features Datahike may lack some advanced features present in other databases, such as sophisticated indexing or native support for certain types of analytics, which could be necessary for specific applications.
Java Virtual Machine (JVM) requirement As it runs on the JVM, Datahike requires a Java runtime environment, which might not be ideal or convenient for projects seeking to minimize dependencies or employ lightweight deployment strategies.
Analysis
An editorial look at what each product does well and who it suits.
SplitwiseDatahike
Overall verdict
Splitwise is a highly effective tool for managing shared expenses, especially if frequent splitting of costs is involved. Its features make it easy to track who owes what, and its automatic calculations save time and reduce errors.
Why this product is good
Splitwise is popular because it simplifies sharing and tracking expenses among groups, making it ideal for roommates, friends on trips, or any group spendings.
It automatically calculates balances and reminds users about payments, reducing the awkwardness of asking others for money.
Offers a user-friendly interface both on web and mobile apps, which makes managing expenses convenient and accessible.
Supports multiple currencies, which is great for international travel groups.
Integration with payment platforms like PayPal and Venmo for easy settlement of debts.
Recommended for
Roommates who need to regularly split household bills and expenses.
Groups of friends or families who often travel together and need to manage shared travel costs.
Colleagues or classmates working on projects or events that require shared funding.
Anyone who wants to avoid the hassle of manually tracking and settling shared expenses.
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....
It appears that Datahike [0] is a Datomic workalike that supports branching. I haven’t tried it out myself (yet), but the documentation suggests it’s possible [1]. That said, I’m adding xitdb to the list of tech to try out. Thank you for...
- Source: Hacker News
/
7 months ago
Show HN: Stratum – SQL that branches and beats DuckDB on 35/46 1T benchmarks
Hey. Hybrid in which sense? I have integrated Stratum's columnar indices as a secondary index in the new query engine of https://github.com/replikativ/datahike itself, so for numerical data you will be able to use Datalog/SQL to have...
- Source: Hacker News
/
8 months ago
Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike.
- Source: Hacker News
/
about 3 years ago
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