Source and build
Clone the main repository and build with Maven. The primary documentation lives with the code, including install, evaluation, and development guidance.
Open the READMEGet Started
Guides, references, and releases
Start with the main codebase documentation, browse DeepWiki summaries, or download the latest daily builds for evaluation.
DeepWiki guide
DeepWiki provides a navigable summary of the main repo, covering modules, architecture, deployment, and source file references.
Browse DeepWikiDaily builds
Use the automated daily release if you want the newest packaged artifacts for early evaluation or local experimentation.
Get daily buildsUser Guide
Deployment and evaluation workflows
Follow the project guides for installation, benchmark setup, and evaluation on analytical workloads.
Install Pixels
Set up Pixels services, metadata, and dependencies using the primary installation guide from the main repository.
Open installation guideTPC-H evaluation
Reproduce benchmark-oriented experiments and learn how Pixels is evaluated on standard analytical workloads.
Read the TPC-H guideClickBench evaluation
Explore ClickBench-oriented evaluation steps for additional workload and performance comparisons.
Read the ClickBench guideSpecification
Architecture and core references
Use these references to understand the main engine layout, deployment surfaces, and architectural organization of PixelsDB.
Project overview
The main README summarizes the Pixels engine, storage goals, supported backends, and major subsystems.
Read the overviewArchitecture guide
DeepWiki provides a navigable architecture view covering modules, services, and code references across the repository.
Browse DeepWiki architectureService deployment reference
The installation documentation also serves as an operational reference for daemon roles, ports, and system dependencies.
Open deployment referenceIntegrations
Representative repositories
The GitHub organization includes the core engine, integrations, supporting services, and educational or experimental projects around PixelsDB.
pixelsdb/pixels
Main projectThe flagship repository for PixelsDB: core storage engine, query integrations, build instructions, deployment guides, and research context.
pixelsdb/pixels-rover
Web-based query interface for serverless analytics and flexible service levels.
pixelsdb/pixels-trino
Pixels connector for Trino deployments and MPP-oriented analytics workflows.
pixelsdb/pixels-presto
Connector project for integrating Pixels storage with PrestoDB.
pixelsdb/pixels-hive
Hive SerDe integration for reading and writing Pixels-backed data.
pixelsdb/pixels-spark
Spark datasource support for pipelines that need Pixels-aware processing.
pixelsdb/pixels-postgres
PostgreSQL FDW integration for bridging Pixels data into PostgreSQL workflows.
pixelsdb/pixels-sink
Data sink services that capture and apply source changes into Pixels.
pixelsdb/pixels-spike
Serverless computing framework used to accelerate query processing bursts.
pixelsdb/mini-pixels
Educational analytic storage engine derived from Pixels for learning and teaching.
SDK
Developer interfaces and implementation entry points
Explore the main implementation surfaces for developers working with PixelsDB in C++, Java, and operational tooling.
C++ implementation
The C++ tree contains the low-level implementation, DuckDB integration, and build instructions for native components.
Open the C++ READMECLI and daemon tooling
Pixels ships operational tooling for service deployment and command-line interaction through the daemon and CLI modules.
Explore CLI sourcesJava module tree
The Java codebase contains the storage engine, services, connectors, and execution components that make up the broader system.
Browse the full repository