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Which is more popular?
Based on our record, Google Cloud Dataflow
should be more popular than Splid.
It has been mentioned 14 times since March 2021.
social mentions
2 vs 14
Personal Finance popularity
100% vs 0%
alternatives listed
146 vs 147
Base details
Website, pricing, platforms and company facts side by side.
User-Friendly Interface Splid offers an intuitive and easy-to-use interface that makes it simple for users to split expenses without any confusion.
Offline Functionality Users can log expenses and use the app even without an internet connection, which is useful in remote areas.
Multiple Currency Support Splid allows users to add expenses in different currencies, making it convenient for international travel and expenses.
No Sign-Up Required The app does not require users to create an account, simplifying access and reducing privacy concerns.
Easy Sharing Users can easily share expense reports with group members via a link, simplifying communication and transparency.
Possible disadvantages
Limited Integration Splid lacks integration with other financial apps or services, which can limit its functionality for some users.
Manual Expense Entry All expenses must be entered manually, which can be time-consuming compared to apps that offer receipt scanning.
No Real-Time Sync Changes are not updated in real-time across devices, potentially leading to discrepancies if multiple users are managing a list.
Basic Features Free While the basic app is free, advanced features require a paid upgrade, which might not be ideal for all users.
Limited to Group Expense Splid is focused on group expense sharing, lacking features for individual finance management or budgeting.
Scalability Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
Fully Managed Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
Unified Programming Model It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
Integration Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
Real-time Analytics Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
Cost Efficiency Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
Global Availability Cloud Dataflow is available globally, which allows for regionalized data processing.
Fault Tolerance Built-in fault tolerance mechanisms help ensure uninterrupted data processing.
Possible disadvantages
Steep Learning Curve The complexity of using Apache Beam and understanding its model can be challenging for beginners.
Debugging Difficulties Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
Cost Management While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
Vendor Lock-in Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
Limited Support for Non-Google Services While it integrates well within Google Cloud, support for non-Google services may not be as robust.
Latency There can be some latency in data processing, especially when dealing with high volumes of data.
Complexity in Pipeline Design Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.
Analysis
An editorial look at what each product does well and who it suits.
SplidGoogle Cloud Dataflow
No analysis of Splid yet.
Overall verdict
Google Cloud Dataflow is a strong choice for users who need a flexible and scalable data processing solution. It is particularly well-suited for real-time and large-scale data processing tasks. However, the best choice ultimately depends on your specific requirements, including cost considerations, existing infrastructure, and technical skills.
Why this product is good
Google Cloud Dataflow is a fully managed service for stream and batch data processing. It is based on the Apache Beam model, allowing for a unified data processing approach. It is highly scalable, offers robust integration with other Google Cloud services, and provides powerful data processing capabilities. Its serverless nature means that users do not have to worry about infrastructure management, and it dynamically allocates resources based on the data processing needs.
Recommended for
Organizations that require real-time data processing.
Projects involving complex data transformations.
Users who already utilize Google Cloud Platform and need seamless integration with other Google services.
Developers and data engineers familiar with Apache Beam or those willing to learn.
Splid is an excellent app for those who want to take their bill splitting to the next level. It is among the popular bill splitting apps that supports advanced features like location-based payment suggestions,...
I prefer this app to similar ones I've tried. It seems clearer, more straightforward and simpler to use for normal holidays etc. But if you need more complex arrangements it's versatile too: in that you can...
Splitting up the cost of group trips can be tough. Splid allows you to add in all the expenses of a trip and then split it up among each person on the trip. The app is useful for splitting up non-trip expenses as...
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify...
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
Splid2 mentionsGoogle Cloud Dataflow14 mentions
Running an Open Source App: Usage, Costs and Community Donations
Would be interesting to see how this compares to https://splid.app/.
- Source: Hacker News
/
about 2 years ago
Show HN: An alternative to Splitwise, more minimalist, no ads, no account
Https://splid.app/ is a great no-account alternative.
- Source: Hacker News
/
over 4 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if...
Source:
almost 4 years ago
Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests.
Source:
about 4 years ago
How are view/listen counts rolled up on something like Spotify/YouTube?
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data.
Source:
about 4 years ago
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!
Compare Splitwise to Splid or Google Cloud Dataflow:
Splitwise
Tricount
Settle Up
Spliit
ihatemoney
Kittysplit
Splitser
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
