JupyterHub vs. MicroPython vs. StarTree Comparison


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About With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.	About The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.	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.
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 Companies, classrooms and research labs looking for a multi-user Hub solution	Audience IoT Operating System for developers wanting to run microcontrollers	Audience Companies with up to petabytes of data needing to run high queries-per-second (QPS) workloads
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 No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial	Pricing Free Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 4.0 / 5 support 4.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information JupyterHub Founded: 2014 github.com/jupyterhub/jupyterhub	Company Information MicroPython United Kingdom micropython.org	Company Information StarTree Founded: 2019 United States www.startree.ai
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Categories Operating Systems	Categories IoT Operating Systems	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
		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 S3 Apache Kafka Apache Pinot Azure Marketplace Cleanlab Coiled Confluent DataOps.live Databricks Data Intelligence Platform Embeddable Hadoop JetBrains DataSpell Jupyter Notebook JupyterLab Kite LVGL MySQL OpenHexa Tableau Vast.ai Show More Integrations View All 15 Integrations	Integrations Amazon S3 Apache Kafka Apache Pinot Azure Marketplace Cleanlab Coiled Confluent DataOps.live Databricks Data Intelligence Platform Embeddable Hadoop JetBrains DataSpell Jupyter Notebook JupyterLab Kite LVGL MySQL OpenHexa Tableau Vast.ai Show More Integrations View All 4 Integrations	Integrations Amazon S3 Apache Kafka Apache Pinot Azure Marketplace Cleanlab Coiled Confluent DataOps.live Databricks Data Intelligence Platform Embeddable Hadoop JetBrains DataSpell Jupyter Notebook JupyterLab Kite LVGL MySQL OpenHexa Tableau Vast.ai Show More Integrations View All 18 Integrations
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