Honeycomb vs phpMyAdmin

Overview

phpMyAdmin

Stacks352

Followers307

Votes15

Honeycomb

Stacks80

Followers112

Votes8

Honeycomb vs phpMyAdmin: What are the differences?

Honeycomb: Observability for a distributed world--designed for high cardinality data and collaborative problem solving 🐝💖. We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys; phpMyAdmin: A free software, for MySQL and MariaDB. As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services.

Honeycomb belongs to "Performance Monitoring" category of the tech stack, while phpMyAdmin can be primarily classified under "Database Tools".

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Advice on phpMyAdmin, Honeycomb

Adam

IT Consultant

Jan 14, 2020

Decided

We were looking a tool that would allow us to do MySQL and PostgreSQL development/administration from a single tool. We decided on Navicat Premium because it can connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases - and simultaneously. It's also compatible with Amazon RDS and Microsoft Azure, which we also use.

Moreover, we previously experienced the occasional freezing and crashing in MySQL Workbench. It also suffered from a poor design, with certain features being a bit difficult to find. Meanwhile, phpMyAdmin lacked schema visualization tools and seemed better suited to lightweight day to day transactions than some of the big jobs that we needed to do.

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Comments

Detailed Comparison

phpMyAdmin	Honeycomb
As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services.	We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys.
-	High-performance querying against high-cardinality or sparse events.; Accepts any structured JSON objects with a write key.; Submit events via API.; Open source agents, log tailers, SDKs, and integrations.; Customizable high-performance query windows.; Customizable storage windows provide control over retention and costs.; Always have access to the the raw data behind query results and graphs.; Shared boards.; Individual and team query histories.; Triggers and notifications.; Secure Tenancy for data compliance.
Statistics
Stacks 352	Stacks 80
Followers 307	Followers 112
Votes 15	Votes 8
Pros & Cons
Pros 5 User administration 5 Easy data access 5 Query linter Cons 1 Insecure	Pros 3 BubbleUp + Heat maps 2 High-Cardinality Data 2 Powerful UI 1 Better Value
Integrations
GitHub PHP Bootstrap MariaDB MySQL JavaScript Docker Hub jQuery PHPUnit PHPStan	JavaScript Ruby ExpressJS Slack NGINX PostgreSQL MySQL Python Golang AWS Elastic Load Balancing (ELB)

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