Shaping the future of technology
Oracle Labs is a research and development organization within Oracle. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society.
Searching Near and Far for Examples in Data Augmentation
Authors: Ari Kobren, Naveen Jafer Nizar, Michael Wick, Swetasudha Panda
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
Authors: Pallika Kanani, Virendra Marathe, Daniel Peterson, Rave Harpaz, Steve Bright
Just-in-Time Compiling Ruby Regexps on TruffleRuby
Authors: Josef Haider, Benoit Daloze
Research project to explore distributed computing problems relevant to Big Data Analytics, Cloud Infrastructures and modern networking and storage technologies.
KeyBridge is a multi-disciplinary project using expertise from systems-programming, data visualization and machine learning in order to understand massive streams of data.
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.
Parallel, efficient, in-memory, single-machine and distributed graph processing
Parfait is a static code analysis tool from Oracle Labs that finds vulnerabilities in web applications written in C/C++, Java, and Python.
Programming language design, semantics, algorithms, and implementation with an emphasis on convenient use of parallelism using multicores and GPUs.
Randomized Decomposition is a mathematical programming technique for solving hard, non-convex mathematical programming problems.
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.
Oracle Labs News
HeatWave: In-memory analytics accelerator for MySQL
Project RAPID, developed by Oracle Labs, is now available as HeatWave in the MySQL Database Service. HeatWave accelerates performance by up to 400x for analytics workloads like TPC-H and makes it possible to run analytics on MySQL data without the need for ETL.
HeatWave is a cloud native service which is exclusively available in Oracle cloud Infrastructure and provides compelling performance and cost for analytic workloads. Organizations using MySQL database for managing their enterprise data can now run analytic queries with HeatWave with significantly better performance, lower cost, not requiring ETL and support for real- time analytics in contrast to other database services like RDS, Google Big Query, Snowflake, Aurora and Redshift.
The service can be deployed in a cloud only or in a hybrid environment, and it simplifies management for both transactional and analytic applications.Learn More
It removes the isolation between programming languages and enables interoperability in a shared runtime. It can run either standalone or in the context of OpenJDK, Node.js or Oracle Database.
GraalVM can run in the context of OpenJDK to make Java applications run faster with a new just-in-time compilation technology. GraalVM takes over the compilation of Java bytecode to machine code. In particular for other JVM-based languages such as Scala, this configuration can achieve benefits, as for example experienced by Twitter running GraalVM in production.Learn More
The Multilingual Engine (MLE)
Parallel Graph AnalytiX (PGX)
PGX is a toolkit for graph analysis, supporting both efficient graph algorithms and fast SQL-like graph pattern matching queries.
The tools included as part of the PGX distribution include:
- A Java API to load graphs and perform analysis.
- The PGX shell - an interactive REPL that offers a jshell environment for interactive analysis.
- A large collection of built-in algorithms which are part of the Analyst API - covering domains such as community detection, ranking, partitioning, recommendation generation and more.
- PGX Algorithm: a domain-specific-language for writing graph analysis algorithms in a simple and readable form, which the the PGX runtime can transparently optimize and execute.
- PGQL - Property Graph Query Language - an SQL-like language for graph pattern-matching, which includes both SQL-like value-based constraints and topological constraints.