TablePlus
ClickHouse
Our great sponsors
TablePlus | ClickHouse | |
---|---|---|
54 | 208 | |
3,186 | 34,054 | |
2.5% | 2.3% | |
0.0 | 10.0 | |
over 1 year ago | 6 days ago | |
C++ | ||
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TablePlus
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Tell HN: TablePlus is a slick GUI db editor
https://tableplus.com/
It was oddly hard to find a DB editor, I needed something as slick as ArcType -- a feature packed DB editor that is recently shut down. Ideally, it would have been a vscode extension like Docker/Kubernets so I could stay in my IDE but failing to find a good looking one there, I opted to find an application.
Tried, Azure Data Studio and DBVis.com but finally happy with TablePlus. It is a freemium model but i'm okay with two windows and two tabs.
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Under Pressure: Benchmarking Node.js on a Single-Core EC2
I'm using Table Plus to connect to the RDS Postgres database, you could use any Postgres Client.
- Modern, Native (Mac) Tool for Database Management
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Show HN: Easily Visualize Your SQLAlchemy Data Models in a Nice SVG Diagram
This is great, especially to introduce new devs to models. I use (and love) TablePlus (https://tableplus.com/) which has a diagram generator plugin that does the same!
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🌹 Awesome development tools for PHP 2023
Home page: https://tableplus.com/
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From Good to Great: Scaling Applications with TypeORM Optimization
Tools like TablePlus, DBeaver, or HeidiSQL provide visual query building interfaces. While not performance analysis tools per se, they can help you build and understand complex queries more easily.
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🐘Top Postgres GUI Clients to Master Postgres☄️🦖
TablePlus first greeted the world in 2017 and is the newest addition to the list. The UI is simple and sleek without any redundant modules, making it quick and easy to get started with.
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Why people care about PostGIS and Postgres
TablePlus (https://tableplus.com/) is my current goto - even has a nice iOS app for on the run queries. I have fond memories of Sequel Pro and this app scratches that itch.
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🐬Top 5 MySQL GUI Clients to Command MySQL⚡️
Starting in 2017, TablePlus is the newbie on the list, and its modern and simple UI reflects it. It supports most relational databases and some NoSQL ones. When they just started, they only supported macOS, but it is now available on Windows, Linux, and iOS (!). It is not open-source, but the roadmap is open and anyone can open an issue on their GitHub Issue Tracker. TablePlus has two plans: a free tier (has no limit on trial time) and a paid subscription model (license) with extended features.
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Setup a Local Database
DBngin also happens to be made by the company behind my favorite database GUI tool, TablePlus. If you use TablePlus, you can click on the arrow next to the "Start/Stop" button and open the database right in TablePlus.
ClickHouse
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We Built a 19 PiB Logging Platform with ClickHouse and Saved Millions
Yes, we are working on it! :) Taking some of the learnings from current experimental JSON Object datatype, we are now working on what will become the production-ready implementation. Details here: https://github.com/ClickHouse/ClickHouse/issues/54864
Variant datatype is already available as experimental in 24.1, Dynamic datatype is WIP (PR almost ready), and JSON datatype is next up. Check out the latest comment on that issue with how the Dynamic datatype will work: https://github.com/ClickHouse/ClickHouse/issues/54864#issuec...
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Build time is a collective responsibility
In our repository, I've set up a few hard limits: each translation unit cannot spend more than a certain amount of memory for compilation and a certain amount of CPU time, and the compiled binary has to be not larger than a certain size.
When these limits are reached, the CI stops working, and we have to remove the bloat: https://github.com/ClickHouse/ClickHouse/issues/61121
Although these limits are too generous as of today: for example, the maximum CPU time to compile a translation unit is set to 1000 seconds, and the memory limit is 5 GB, which is ridiculously high.
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Fair Benchmarking Considered Difficult (2018) [pdf]
I have a project dedicated to this topic: https://github.com/ClickHouse/ClickBench
It is important to explain the limitations of a benchmark, provide a methodology, and make it reproducible. It also has to be simple enough, otherwise it will not be realistic to include a large number of participants.
I'm also collecting all database benchmarks I could find: https://github.com/ClickHouse/ClickHouse/issues/22398
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How to choose the right type of database
ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.
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Writing UDF for Clickhouse using Golang
Today we're going to create an UDF (User-defined Function) in Golang that can be run inside Clickhouse query, this function will parse uuid v1 and return timestamp of it since Clickhouse doesn't have this function for now. Inspired from the python version with TabSeparated delimiter (since it's easiest to parse), UDF in Clickhouse will read line by line (each row is each line, and each text separated with tab is each column/cell value):
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The 2024 Web Hosting Report
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules.
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
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Proton, a fast and lightweight alternative to Apache Flink
Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse community can also help a lot.
Please check this PR from the proton team: https://github.com/ClickHouse/ClickHouse/pull/54870
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1 billion rows challenge in PostgreSQL and ClickHouse
curl https://clickhouse.com/ | sh
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We Executed a Critical Supply Chain Attack on PyTorch
But I continue to find garbage in some of our CI scripts.
Here is an example: https://github.com/ClickHouse/ClickHouse/pull/58794/files
The right way is to:
- always pin versions of all packages;
What are some alternatives?
Sequel-Ace - MySQL/MariaDB database management for macOS
loki - Like Prometheus, but for logs.
ClickBench - ClickBench: a Benchmark For Analytical Databases
duckdb - DuckDB is an in-process SQL OLAP Database Management System
sqlitestudio - A free, open source, multi-platform SQLite database manager.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
starrocks - StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries. InfoWorld’s 2023 BOSSIE Award for best open source software.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
CodeEdit - CodeEdit App for macOS – Elevate your code editing experience. Open source, free forever.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
arrow-datafusion - Apache DataFusion SQL Query Engine