Skip to content

Commit 2b49a7d

Browse files
authored
Merge pull request #37 from Mazizova/add-hammerdb-alisql-mysql-advisor
Add HammerDB, AliSQL, and MySQL Advisor to the catalog
2 parents cf865b4 + b30e47a commit 2b49a7d

3 files changed

Lines changed: 55 additions & 0 deletions

File tree

Lines changed: 16 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,16 @@
1+
---
2+
title: "MySQL Advisor"
3+
link: "https://nitty-witty.com/mysql-advisor"
4+
description: "A web-based configuration analyzer that reviews MySQL, MariaDB, and Percona server output for performance and security issues and returns prioritized, severity-ranked recommendations."
5+
subcategories:
6+
- Monitoring SaaS
7+
- Security & Compliance SaaS
8+
compatibility:
9+
- MySQL
10+
- MariaDB
11+
- Percona Server
12+
---
13+
14+
Built by MySQL consultant Kedar Vaijanapurkar to automate the first-pass configuration review he used to run by hand on every client engagement, MySQL Advisor analyzes the output of `SHOW GLOBAL VARIABLES` and `SHOW GLOBAL STATUS` — pasted or uploaded as text — without ever connecting to the database itself, so it's safe to run against production.
15+
16+
It runs roughly 150 checks across 19 categories (InnoDB memory, replication, security, clustering, and more), version-aware for MySQL 5.6–8.4, MariaDB 10.x–11.x, and Percona variants including XtraDB Cluster (Galera) and Group Replication. Findings come back ranked Critical / Warning / Info / OK, exportable as HTML, Markdown, or Word, with an optional REST API for automating the same checks in a pipeline.
Lines changed: 19 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,19 @@
1+
---
2+
title: "AliSQL"
3+
link: "https://github.com/alibaba/AliSQL"
4+
description: "Alibaba Cloud's open-source MySQL branch, protocol-compatible with MySQL 8.0 and extended with a DuckDB-backed analytical storage engine, native vector search, and flashback queries."
5+
subcategories:
6+
- Database Software
7+
- Data Warehouse & Analytics
8+
compatibility:
9+
- MySQL
10+
- DuckDB
11+
deployment:
12+
- Self-Hosted
13+
pricing:
14+
- Open Source
15+
---
16+
17+
AliSQL is the MySQL branch maintained by the Alibaba Cloud Database team, built on MySQL 8.0.44 and fully compatible with the standard MySQL client protocol — existing clients and drivers connect without modification. It adds enterprise features developed for Alibaba's own production scale directly into the server, rather than as external tooling.
18+
19+
The most notable addition is a DuckDB-backed columnar storage engine for analytical queries, reported to run over 200x faster than InnoDB on the same workloads, alongside native vector indexes (HNSW, up to 16,383 dimensions, cosine and Euclidean distance) for AI/embedding workloads, and flashback queries (`AS OF TIMESTAMP`) for reading historical InnoDB state without a separate backup restore. It's licensed GPL-2.0, the same as upstream MySQL.
Lines changed: 20 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
1+
---
2+
title: "HammerDB"
3+
link: "https://www.hammerdb.com/"
4+
github: "TPC-Council/HammerDB"
5+
description: "An open-source database load-testing tool that runs industry-standard TPC-C and TPC-H style benchmarks against MySQL and MariaDB, with a GUI, CLI, and CI-friendly automation."
6+
subcategories:
7+
- Testing & Benchmarking
8+
compatibility:
9+
- MySQL
10+
- MariaDB
11+
deployment:
12+
- Self-Hosted
13+
- Docker
14+
pricing:
15+
- Open Source
16+
---
17+
18+
HammerDB is the industry-standard open-source benchmark for relational databases, generating TPC-C (OLTP) and TPC-H (analytics) style workloads so teams can compare performance across database engines and configurations under identical, repeatable load. Beyond MySQL and MariaDB it also drives Oracle, SQL Server, Db2, and PostgreSQL, which makes it a common choice when validating a migration or benchmarking one engine against another.
19+
20+
It ships a GUI, a CLI, and a web interface, plus official Docker images and CI pipeline integration, so the same workload definitions can run interactively during tuning work or unattended as part of a release pipeline. Results come with automated reporting — metrics, charts, and shareable artifacts — through the TPC community's standard workflow.

0 commit comments

Comments
 (0)