# SuperDB

An analytics database that puts JSON and relational tables on equal footing

Repository: https://github.com/brimdata/super
Canonical: https://ross.abutalabs.com/products/superdb
Homepage: https://superdb.org
Language: Go
License: NOASSERTION
License Family: other
Last push: 2026-08-26T19:10:26+00:00
Link (homepage): https://superdb.org
Link (site_page): https://superdb.org/getting-started/install
Link (site_page): https://superdb.org/getting-started/intro

## Health v2 (maintenance only)
Score: 91/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 75, longevity 100
- inputs: {"age_days": 2491, "days_push": 7, "days_rel": 166, "gap_med": 24.0, "n_releases_24m": 3}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1567, forks 81 (observed 2026-08-28T04:05:04.977740+00:00)

## What it is
SuperDB Desktop (Zui) is an Electron-based desktop application for exploring, searching, and transforming data, serving as the official front-end to the SuperDB analytics database. SuperDB itself is a super-structured analytics database with a SQL-compatible pipe query language (SuperSQL), schema-on-read type system, and a single-binary CLI (super) written in Go.

## Use cases
- explore deeply nested JSON logs
- search heterogeneous NDJSON log files
- clean up CSV files by adding type information
- view Parquet and Arrow IPC files
- investigate Zeek security logs
- run SQL-like queries against JSON data without defining schemas
- analyze CDC logs from a legacy database

## When to choose
- you need to explore schema-less or heterogeneous JSON/NDJSON data interactively
- you want schema inference and type-aware querying without up-front schema design
- you analyze security logs like Zeek or CDC streams
- you prefer a desktop GUI with drag-and-drop ingest plus a CLI query engine

## When to avoid
- you need a mature production-grade persistent database with wide ecosystem support
- you require heavy multi-user BI dashboards or OLAP at scale
- your team is standardized on PostgreSQL or another traditional RDBMS
- you need a web-based, multi-tenant analytics service

## Facets
- artifact type: application
- maturity: active
- function: search-engine, data-visualization, cli, gui, serialization, database
- domain: data-science, analytics, databases, developer-tools, security
- platform: cross-platform, windows, cli
- tags: super-structured-data, supersql, zed-lake, zng, schema-inference, log-analysis, electron-app, data-wrangling, zeek-logs, desktop, macos, linux

## Member repositories
- brimdata/super (main) score 91
- brimdata/zui (frontend) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:04.977740+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:05:10.470119+00:00, confidence not recorded.
  - readme: https://github.com/brimdata/super (fetched 2026-08-28T04:05:04.977740+00:00, sha f1bbac7c37ac)
  - homepage: https://superdb.org (fetched 2026-08-29T10:45:11.889003+00:00, sha 7ef51c6a2e2f)
  - site_page: https://superdb.org/getting-started/install (fetched 2026-08-29T10:45:11.898404+00:00, sha e5bb18e88a05)
  - site_page: https://superdb.org/getting-started/intro (fetched 2026-08-29T10:45:11.900222+00:00, sha e91c36202363)
- Data as of 2026-08-30T08:39:29.467469+00:00.