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, Presto DB
seems to be more popular. It has been mentioned
11 times
since March 2021.
social mentions
0 vs 11
Personal Finance popularity
100% vs 0%
alternatives listed
240+ vs 109
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.
High-Performance Query Engine Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.
Distributed SQL Query Engine Presto can scale out to large clusters of machines, allowing for efficient distribution of queries over multiple servers to handle big data workloads.
Versatility Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.
ANSI-SQL Compatibility Presto supports ANSI SQL, making it easier for users familiar with SQL to adapt and write queries without a steep learning curve.
Open Source Presto is an open-source project, which means it benefits from continuous community contributions and improvements, keeping it up-to-date and robust.
Extensible Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.
Possible disadvantages
Resource Intensive High performance comes with significant resource requirements, necessitating robust infrastructure to realize its full potential.
Complex Configuration Setting up and configuring Presto can be complex and time-consuming, often requiring expertise and an understanding of its various components.
Limited Support for Transactions Presto is primarily designed for reading data and performing analytics, and it has limited support for transactional processing compared to traditional relational databases.
Community Support While it has a vibrant open-source community, users may find the support less comprehensive than that provided by commercial enterprise solutions.
Latency for Small Queries Designed for big data and complex queries, Presto may exhibit higher latency for small, simple queries compared to specialized databases optimized for such use cases.
Maintenance Overhead Managing and maintaining a Presto cluster can be labor-intensive, requiring ongoing tuning and maintenance to ensure optimal performance and reliability.
Analysis
An editorial look at what each product does well and who it suits.
SplitwisePresto DB
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.
Overall verdict
PrestoDB is considered a strong choice for organizations needing to perform fast and complex analytic queries. Its ability to execute SQL queries on big data at lightning speeds makes it an attractive tool for data-driven organizations. However, the choice of PrestoDB depends on specific use cases, existing infrastructure, and the team's familiarity with its architecture and operational demands.
Why this product is good
PrestoDB is a highly-regarded distributed SQL query engine that excels in speed and efficiency for querying large datasets. It's designed for running interactive analytic queries against data sources of all sizes. Some of its core strengths include its ability to query data across a wide variety of sources, scalability, and strong community support. It's often chosen for its capability to integrate seamlessly in environments requiring fast data processing and analysis without the need to move or transform data extensively.
Recommended for
PrestoDB is ideal for technology firms, data-driven companies, and organizations in need of real-time data analytics. It is especially well-suited for those with existing big data frameworks (like Hadoop, Kafka, and Cassandra) who require a performant query engine to leverage large datasets efficiently. It's recommended for teams familiar with distributed systems who need the flexibility and speed offered by PrestoDB's architecture.
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....
AWS EMR (Elastic MapReduce) is a fully managed big data platform. It manages the setup, configuration, and tuning of open source frameworks like Apache Hadoop, Apache Spark, Apache Hive, Presto, and more at scale on AWS infrastructure....
- Source: dev.to
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11 months ago
Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms 📦
Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community.
- Source: dev.to
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over 1 year ago
Introduction to Presto: Open Source SQL Query Engine that's changing Big Data Analytics
In today's data-driven world, organizations face a constant challenge: how to analyse massive datasets quickly and efficiently without moving data between disparate systems. Presto, an open-source distributed SQL query engine that's...
- Source: dev.to
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over 1 year ago
Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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