Pine Script vs. Python vs. Spark Streaming vs. StreamNative Comparison Chart

Pine Script® is TradingView’s programming language. It allows traders to create their own trading tools and run them on our servers. We designed Pine Script® as a lightweight, yet powerful, language for developing indicators and strategies that you can then backtest. Most of TradingView’s built-in indicators are written in Pine Script®, and our thriving community of Pine Script® programmers has published more than 100,000 community scripts. It’s our explicit goal to keep Pine Script® accessible and easy to understand for the broadest possible audience. Pine Script® is cloud-based and therefore different from client-side programming languages. While we likely won’t develop Pine Script® into a full-fledged language, we do constantly improve it and are always happy to consider requests for new features. Because each script uses computational resources in the cloud, we must impose limits in order to share these resources fairly among our users.

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.