MariaDB ✓

@mariadb · The Internet · joined 03 Nov 2011

We are the company behind #MariaDB, the fastest growing #opensource #database. Download MariaDB at https://t.co/neCWRdLzIb.

450 655Followers

534Following

18 905Posts total

14.5KViews on collected posts

โพสต์ล่าสุด

MariaDB ✓@mariadb18 ชม.

Live, virtual, and constructive simulations run on data that has to be current at the edge — not current back at a central store. At AFCEA Orlando, MariaDB's Ryan Fetter explored this constraint in a session titled "Scaling Real-Time CJADC2, C4ISR & LVC Simulations" — where he

1.4K views · 2 likes · 0 reposts · 1 replies Open on X →

MariaDB ✓@mariadb22 Sep

When an airspace shutdown breaks, @flightradar24 is the go-to place for all — including newsrooms like @guardian, who treat what they see there as the record. But with sky-high trust comes an even higher need for reliable uptime… and as its popularity surged, Flightradar24's htt

1.7K views · 9 likes · 1 reposts · 0 replies Open on X →

MariaDB ✓@mariadb19 Sep

Attending @WeAreDevs World Congress in San Jose next week? Don't miss the session, "How AI Search Changes the Data Game" — featuring MariaDB's Vikas Mathur! AI search is only as good as the data it runs on. The more powerful the system, the faster it exposes weak https://t.co/Ap

1.6K views · 4 likes · 0 reposts · 0 replies Open on X →

MariaDB ✓@mariadb18 Sep

The release of MariaDB Community Server 12.3.2 brings a new feature in focus: the InnoDB-Based Binary Log. On HammerDB TPROC-C benchmarks, enabling it delivered up to 50% higher transaction throughput — and under full ACID durability, it still delivered a 17% increase with

2.7K views · 10 likes · 0 reposts · 0 replies Open on X →

MariaDB ✓@mariadb24 Mar

Our acquisition of @GridGain is complete! The move marks the launch of MariaDB’s AI-Ready Operating Platform, a unified system designed to handle the extreme-velocity data requirements of autonomous AI agents. Learn more: https://t.co/fp0IPrWd7a https://t.co/RrEeBvuT8r

7K views · 27 likes · 6 reposts · 2 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน1 673บัญชีนี้6 105ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %0.37%บัญชีนี้1.63%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %0.31%บัญชีนี้0.97%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	1 673	6 105	0.27×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	0.37%	1.63%	0.23×
อัตราการมีส่วนร่วม	0.31%	0.97%	0.32×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

7K24 Mar

2.7K18 Sep

1.6K19 Sep

1.7K22 Sep

1.4K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.52%24 Mar

0.37%18 Sep

0.25%19 Sep

0.58%22 Sep

0.22%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.97%.

What the audience does

Likes73.2%52 in total

Reposts9.9%7 in total

Replies4.2%3 in total

Quotes2.8%2 in total

Bookmarks9.9%7 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.