Our Projects

Oracle Labs research is focused on real-world outcomes: our researchers aim to develop technologies that will someday play a significant role in the evolution of technology and society.

Current Projects



A high-performance runtime supporting Java and JVM languages, JavaScript, Ruby, R, Python, C/C++, and more. It can run standalone or embedded in OpenJDK / OracleJDK, Node.js, and Oracle Database.



KeyBridge is a multi-disciplinary project using expertise from systems-programming, data visualization and machine learning in order to understand massive streams of data.


Machine Learning Research Group

The mission of the Machine Learning Research Group is to scale Machine Learning across Oracle by researching and developing ML-based solutions that improve Oracle's products and services.


Mathematical Optimization

The MLRG group in Oracle Labs builds general tools to solve both classic and emerging optimization problems and provides consulting to develop specific optimizations solutions for Oracle customers


Parallel Graph AnalytiX (PGX)

Parallel, efficient, in-memory, single-machine and distributed graph processing


Programming Language Research Group

Programming language design, semantics, algorithms, and implementation with an emphasis on convenient use of parallelism using multicores and GPUs.



Project RASPunzel aims to deliver an automated and scalable runtime application self-protection (RASP) solution for Java.


Secure Languages

Exploration of new secure language concepts and secure abstractions that can be applied in future languages to prevent vulnerabilities in code written in those languages.


Anomaly Detection for Multivariate Time Series

Multivariate time series analysis provides early detection of anomalies in Oracle Customer assets and products, allowing customers to avoid costly failures and outages.


Application Platform

The Application Platform project enables automated testing, scaling, tuning, and failure detection and recovery to help improve application security, reliability, and performance.


Automated Machine Learning and ML Explainability

This project is building an advanced pipeline for automating machine learning, including model selection, feature selection, hyperparameter tuning and model explainability.


Computer Architecture and Performance Modeling (CAP)

Performance analysis of computer system architectures exploiting new technology trends using advanced workload characterization and modeling techniques.


Domain Global Graphs

Integrates PGX & Data Studio into solutions that investigate domain graphs, e.g., in Oracle Financial Services Crime & Compliance Studio, and researches improvements, e.g., by using Machine Learning.


Intelligent Application Security (IAS)

The Intelligent Application Security team at Oracle Labs works on innovative projects in the application security space spanning areas like program analysis and machine learning.



Macaron is a supply chain security analysis tool which focuses on the build integrity of an artifact and the artifact dependencies


Machine Learning on Graphs

This project focuses on developing machine learning techniques and its applications over graph-structured data across multiple domains like cybersecurity, compliance, healthcare and recommenders.


Native Graph Support in Oracle Autonomous Database

The project aims at bringing state-of-the-art scalable graph analytical technologies into Oracle Autonomous Database.


Open Source Intelligence (OSInt)

OSInt is a program analysis/big data analytics project that aims to gather information about vulnerabilities in third party libraries from various sources on the internet.


Oracle Database Multilingual Engine

A runtime for executing GraalVM languages in Oracle Database.


Oracle Labs Apps

Designing, building and operating modern apps running on Oracle Cloud Infrastructure


Oracle Labs Data Studio

A multi-tenant, multi-server, scalable and secure arbitrary code execution engine with a notebook frontend.


User Behavior Models for Identity Management

User behavior models can detect security attacks and risks. We have developed models that protect Oracle assets using a unique clustering approach.

Past Projects

Adaptive Optimization

Introduce self-optimization capabilities into Oracle's computer systems and processes based on adaptive learning methods


Affogato is a dynamic taint analysis engine for Node.js.


The Callisto project investigates how systems software can evolve to better support parallel and distributed runtime systems on tightly-coupled clusters and on large NUMA systems.

Distributed Systems Group

Research project to explore distributed computing problems relevant to Big Data Analytics, Cloud Infrastructures and modern networking and storage technologies.

Electric VLSI Design System

CAD system with schematic capture and layout features.


FastR is an open-source high-speed implementation of the R programming language for statistics atop Truffle and Graal.


A tool that lets you query a graph of extracted code dependencies to find symbols, show references, follow chains and determine the impact of changes to your multimillion-line codebase.


Gelato is a client-centric dynamic analysis tool that analyses the client-side JavaScript code and crawls a web application to identify its attack surface and client and server-side vulnerabilities.

Maxine Research VM

Oracle's meta-circular research VM written in Java.


Static program analysis techniques focusing on developing precise and scalable analyses for finding bugs in large-scale C and C++ source code.

Parfait Labs

Parfait is a static code analysis tool from Oracle Labs that finds vulnerabilities in web applications written in C/C++, Java, and Python.

Penumbra: Persistence across the Memory Bus

Research project exploring potential effects of emerging byte-addressable persistent memory technologies on software and systems design.

Program Analysis

We are passionate about improving the quality of software and the productivity of developers.


RAPID provides a scale out architecture for providing very high performance for SQL analytics. This technology has been optimized for OCI Gen 2 and will be available as MySQL analytics service

Scalable Synchronization

Principles and techniques for developing concurrent programs that are scalable, efficient, and correct.

Silicon Photonics Research Group

Research in photonics, interconnects and advanced packaging for advanced computing platforms.

VLSI Research

Develops high-speed circuit technologies and design methods that enable novel architectures.

Recent Updates


New Version of GraalVM Released

Get the latest Version of GraalVM


What's New in PGX

Download the latest verion of PGX


Program Analysis

Discover career and internship opportunities at the project