uber/aresdb
A GPU-powered real-time analytics storage and query engine. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2904
- days_rel: n/a
- days_push: 781
- n_releases_24m: 0
Adoption not part of the score
3078 stars · 235 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AresDB is a GPU-powered real-time analytics storage and query engine written in Go and C++ with CUDA kernels. It provides low query latency, high data freshness, and efficient in-memory and on-disk storage management.
Use cases
- run low-latency analytical queries over large real-time datasets
- accelerate analytics workloads using GPU processing
- store and query time-series event data with high freshness
- build dashboards backed by real-time analytics
- offload OLAP-style aggregation queries to GPUs
When to choose
- you need sub-second analytical queries on fresh, high-volume event data
- you have NVIDIA GPUs available and want to exploit them for query acceleration
- your workload fits in-memory or hybrid in-memory/on-disk columnar storage
When to avoid
- you lack NVIDIA GPUs or cannot install the CUDA toolkit
- you need a general-purpose transactional database
- you want a mature, actively developed project with broad community support
Facets
service · maturity maintenance
database analytics search-engine gpu-computing databases analytics big-data go cpp real-time-analytics cuda columnar-storage query-engine in-memory real-time linux gpu
1 source
- readme: https://github.com/uber/aresdb · fetched 2026-08-28 · 738ec2755459
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| uber/aresdb | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem