Research

RocksDB is an open-source storage engine widely used inside and outside of Meta. Historically, it was mainly used for storing data on local SSDs.

This paper describes how we transformed the legacy data lakehouse stack at Meta to adapt to the new realities through a large cross-organizational effort called Shared Foundations.

For October, we are spotlighting Akshitha Sriraman, Assistant Professor, Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU).

In this paper, we present a new benchmark, TAOBench, that captures the social graph workload at Meta. We open source workload configurations along with a benchmark that leverages...

Velox provides reusable, extensible, high-performance, and dialect-agnostic data processing components for building execution engines, and enhancing data management systems.

Here, we approached HRTF personalization from a morphological standpoint by calculating the distance between any two three-dimensional models of the ear.

Applications now open for the 2023 Meta Research PhD Fellowship program

With bumped ribbon retrieval (BuRR), we present the first practical succinct retrieval data structure. In an extensive experimental evaluation BuRR achieves space overheads...

This paper presents Meta’s end-to-end DSI pipeline, composed of a central data warehouse built on distributed storage and a Data PreProcessing Service that scales to eliminate data stalls.

In this paper, we describe a schema-first approach to application telemetry that is being implemented at Meta. It allows the observability platforms to capture metadata about...