Fortran vs. Java vs. StarTree Comparison


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About Fortran has been designed from the ground up for computationally intensive applications in science and engineering. Mature and battle-tested compilers and libraries allow you to write code that runs close to the metal, fast. Fortran is statically and strongly typed, which allows the compiler to catch many programming errors early on for you. This also allows the compiler to generate efficient binary code. Fortran is a relatively small language that is surprisingly easy to learn and use. Expressing most mathematical and arithmetic operations over large arrays is as simple as writing them as equations on a whiteboard. Fortran is a natively parallel programming language with intuitive array-like syntax to communicate data between CPUs. You can run almost the same code on a single CPU, on a shared-memory multicore system, or on a distributed-memory HPC or cloud-based system.	About The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.	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 DevOps teams seeking a high-performance parallel Programming Language solution	Audience Developers looking for a Programming Language solution	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 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 Fortran United States fortran-lang.org	Company Information Oracle docs.oracle.com/javase/8/docs/technotes/guides/language/index.html	Company Information StarTree Founded: 2019 United States www.startree.ai
Alternatives Cython	Alternatives Amazon Corretto Amazon	Alternatives CelerData Cloud CelerData
Nim	C	ClickHouse
Java Oracle	C++	StarRocks
Haskell	OCaml	Apache Druid Druid
BASIC View All	Emojicode View All	Google Cloud BigQuery Google View All
Categories Programming Languages	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
		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 Q AnyIP BBEdit Claude Sonnet 4 CodeArts CoreIDE Espresso Google Cloud BigQuery GuardRails Jersey Mend.io OpenAI o3-mini-high PostgresML Red Hat AMQ Refact.ai Rider RubyMotion StackGen vStellar Show More Integrations View All 43 Integrations	Integrations Amazon Q AnyIP BBEdit Claude Sonnet 4 CodeArts CoreIDE Espresso Google Cloud BigQuery GuardRails Jersey Mend.io OpenAI o3-mini-high PostgresML Red Hat AMQ Refact.ai Rider RubyMotion StackGen vStellar Show More Integrations View All 751 Integrations	Integrations Amazon Q AnyIP BBEdit Claude Sonnet 4 CodeArts CoreIDE Espresso Google Cloud BigQuery GuardRails Jersey Mend.io OpenAI o3-mini-high PostgresML Red Hat AMQ Refact.ai Rider RubyMotion StackGen vStellar Show More Integrations View All 18 Integrations
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