antonmks/Alenka

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1167 stars · 120 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Alenka is a GPU-based column-store database engine written in CUDA that leverages vectorized processing and GPU memory bandwidth for fast analytical queries. It uses a Pig-Latin-like query language, GPU CSV loading, and offers a JDBC driver for integration.

Use cases

• run analytical SQL-like queries entirely on the GPU
• load large CSV files into a database at high speed
• execute filter, join, group, and order operations on columnar data
• query compressed data directly on the GPU
• connect a Java application to a GPU database via JDBC
• accelerate TPC-H style benchmark workloads

When to choose

• you have an NVIDIA GPU and want to accelerate analytical query workloads
• you need fast bulk CSV ingestion with GPU parsing
• you want columnar storage with data skipping and GPU-side compression
• you're experimenting with GPU database research or benchmarks

When to avoid

• you need a production database with active maintenance and support
• you don't have an NVIDIA GPU or CUDA toolchain
• you need transactional (OLTP) workloads or full SQL compliance
• you require cross-platform support beyond Linux/CUDA environments

Facets

library · maturity abandoned

database search-engine parser gpu-computing databases gpu-computing big-data analytics cpp cli cuda column-store gpu-database vectorized-processing pig-latin-query-language jdbc-driver csv-loading linux gpu

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