Learn advanced Rust by building a type-safe, auto-vectorized database expression engine
[SIGMOD'25] We show the data chunk compaction problem in vectorized execution, and propose practical compaction solutions.
A high-performance, distributed SQL query engine built in Rust. Powered by Apache Arrow for vectorized execution, it supports complex SQL (JOINs, CTEs, Window Functions), distributed processing, and Arrow Flight.
Distributed SQL analytics engine for Go: embed it in a Go application, or deploy it as a fault-tolerant query cluster with durable S3 exchange. Vectorized columnar OLAP over Parquet and Apache Iceberg; PostgreSQL wire protocol; no JVM, no CGo. Built for network telemetry: first-class IPv4/IPv6/CIDR/MAC/Port/Protocol types, 100+ network functions.
Columnar query engine built from scratch in Python , Parquet row group pruning, rule-based optimizer, vectorized operators, and a hash join that spills to disk. Within 1.2x of DuckDB on statistics-pruned filters.
C++20 relational executor comparing iterator, vectorized, and code-generated pipelines on identical plans.
Demystifies why analytics databases are fast: a readable SQL engine on Apache Arrow with an optimizer and a vectorized executor, its results and speed checked against DuckDB.
In-process columnar analytics engine: Float64Array storage, vectorized GROUP BY, 1M rows in <10ms
Vectorized columnar relational query engine laboratory exploring execution plans, predicate pushdown, and in-memory batch processing.
A small, embeddable, pure-JVM federated SQL engine with DuckDB-like semantics - no native libraries, no server.
Lamina SQL: vectorized analytical SQL engine from scratch in Rust -- parsing, query planning, predicate pushdown, columnar execution, hash joins, benchmarked on TPC-H-shaped workloads
Production-grade genpark-columnar-storage-vectorized-execution-skill skill for AI agents
A columnar SQL query engine written from the wire up in Rust — hand-written parser, cost-based optimiser, vectorised execution, and its own on-disk format with zone-map pruning.
Vectorized analytical query execution kernel utilizing columnar memory layout and SIMD batching.
We integrate data chunk compaction methods into duckdb, for an end-to-end benchmark.
A scalable single-GPU engine for subgraph query processing on large labeled graphs, featuring vectorized execution and workload decomposition.
Columnar SQL query engine in C++20 with Parquet scans, vectorized operators, DuckDB-verified results, and an optional CUDA aggregate path.
A SQL engine that moves typed column batches through vector operators and chooses physical plans by estimated cost
Vectorized executor to speed up PostgreSQL
C++17 vector-at-a-time analytical engine with null bitmaps, selection vectors, hash aggregation, joins, and scalar differential tests
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