
Confluent
Spark Streaming
Amazon Kinesis
Google Cloud Dataflow
Eventador Fully Managed Apache Kafka
Striim
Lenses
Leo enables teams to innovate faster by providing visibility and control for data streams.

SourceForge.net: ShellNewHandler details page

Which is more popular?
Based on our record, ShellNewHandler seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | leoplatform.io | sourceforge.net |
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Share your experience with using Leo Platform and ShellNewHandler. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Leo Platform since Mar 2021.
Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu. Source: about 4 years ago
I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible. Source: over 5 years ago
When comparing Leo Platform and ShellNewHandler, you can also consider the following products.

Confluent offers a real-time data platform built around Apache Kafka.
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Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
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Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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Building and managing Kafka and Flink-based streaming data pipelines using SQL has never been this easy and powerful.
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Striim provides an end-to-end, real-time data integration and streaming analytics platform.
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