IronPython vs. StarTree vs. broot Comparison


IronPython	StarTree	broot	+
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About IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.	About StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning: - Data Volume: query performance sustained at petabyte scale - Ingest Rates: millions of events per second, continuously indexed for freshness - Concurrency: thousands to millions of simultaneous users served with sub-second latency With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.	About The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Developers requiring a scripting language for embedding, testing, or writing new applications	Audience Companies with up to petabytes of data needing to run high queries-per-second (QPS) workloads	Audience Developers looking for a library for converting python numpy datastructures to the ROOT output format
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API	API Offers API
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Pricing Free Free Version Free Trial	Pricing Free Free Version Free Trial	Pricing Free Free Version Free Trial
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Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information IronPython ironpython.net	Company Information StarTree Founded: 2019 United States www.startree.ai	Company Information broot pypi.org/project/broot/
Alternatives Cython	Alternatives CelerData Cloud CelerData	Alternatives imageio
Python	StarRocks	NumPy
CVXOPT	Databricks Data Intelligence Platform Databricks	PyQtGraph
Python RPA	ClickHouse	h5py HDF5
Mojo Modular View All	Google Cloud BigQuery Google View All	websockets Python Software Foundation View All
Categories Programming Languages	Categories Auto Scaling Big Data Columnar Databases Data Analysis Data Management Database Database as a Service (DBaaS) Database Management Systems (DBMS) OLAP Databases Query Engines Real-Time Analytic Databases Real-Time Data Streaming Root Cause Analysis Streaming Analytics	Categories Component Libraries
	Show More Features Big Data Features Collaboration Data Blends Data Cleansing Data Mining Data Visualization Data Warehousing High Volume Processing No-Code Sandbox Predictive Analytics Templates Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Database Features Backup and Recovery Creation / Development Data Migration Data Replication Data Search Data Security Database Conversion Mobile Access Monitoring NOSQL Performance Analysis Queries Relational Interface Virtualization Streaming Analytics Features Data Enrichment Data Wrangling / Data Prep Multiple Data Source Support Process Automation Real-time Analysis / Reporting Visualization Dashboards
Integrations Amazon Kinesis Amazon Redshift Amazon S3 Apache Flink Apache Kafka Apache Pinot Apache Pulsar Confluent Databricks Data Intelligence Platform Delta Lake Embeddable Google Cloud BigQuery Hadoop Microsoft Azure MySQL Python Redpanda Snowflake Tableau Visual Studio Show More Integrations View All 2 Integrations	Integrations Amazon Kinesis Amazon Redshift Amazon S3 Apache Flink Apache Kafka Apache Pinot Apache Pulsar Confluent Databricks Data Intelligence Platform Delta Lake Embeddable Google Cloud BigQuery Hadoop Microsoft Azure MySQL Python Redpanda Snowflake Tableau Visual Studio Show More Integrations View All 18 Integrations	Integrations Amazon Kinesis Amazon Redshift Amazon S3 Apache Flink Apache Kafka Apache Pinot Apache Pulsar Confluent Databricks Data Intelligence Platform Delta Lake Embeddable Google Cloud BigQuery Hadoop Microsoft Azure MySQL Python Redpanda Snowflake Tableau Visual Studio Show More Integrations View All 1 Integration
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