
Materialize
Apache Flink
KSQL
RisingWave
Apache Spark
Azure Stream Analytics
Google Cloud Dataflow
An innovative streaming SQL database and real-time analytics platform. Fast, powerful and intuitive

Compute various size metrics for a Git repository, flagging those that might cause problems - github/git-sizer

Which is more popular?
git-sizer might be a bit more popular than Timeplus. We know about 1 link to it since March 2021 and only 1 link to Timeplus.
Website, pricing, platforms and company facts side by side.
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| Website | timeplus.com | github.com |
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| Company | Startup from the United States · 2022 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Ready to turn your real-time data into actions? Timeplus Enterprise Self-Hosting: deploy on your data center or own cloud account Timeplus Proton: open-source core engine It empowers developers to build powerful and reliable streaming analytics applications, at speed and scale, anywhere.
No description of git-sizer yet.
What each product offers, as listed by its team.


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


No analysis of Timeplus yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Timeplus 2min demo
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Timeplus and git-sizer. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


* Proton is more developer friendly To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton). - Source: Hacker News / over 2 years ago
Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago
When comparing Timeplus and git-sizer, you can also consider the following products.

A Streaming Database for Real-Time Applications
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®.
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RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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Azure Stream Analytics offers real-time stream processing in the cloud.
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