MariaDB engagement report
@mariadb - 450K followers on X
Measured over 17 original posts from a 30-day window, last computed on September 23, 2026.
Engagement
A typical post picks up 9 interactions against 450K followers, an engagement rate of 0.002%. Measured over 17 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.373% of those impressions turn into an interaction. That is about 0.536% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 100% carry an image or video and 88% link out. The account's strongest tracked post pulled 40 interactions, about 4.4x its own typical post.
Measured over 17 original posts from a 30-day window, last computed on September 23, 2026.
Compared with accounts its own size
MariaDB's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 25% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.002%, MariaDB sits below the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 01:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 88% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 88% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 515 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 11, 20264.4x their median
Picture this 🤔 A team migrates one application from MySQL to MariaDB, using a standard mysqldump: ✅ Four gigabytes of data ✅ One application ✅ No replication ✅ No stored procedures It's about as clean as a migration gets — but despite running without a single error: ❌ No application log-in MariaDB's Michael Aglietti covers what happened in our latest blog — and how the MariaDB Migrator is built to handle users and privileges as an essential step: https://t.co/E6v8FWOsNF
- Mar 24, 20264.1x their median
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
- Jul 8, 20263.2x their median
"['Smart' is] the ability of MariaDB Optimizer to push not only the scan or filter... but ideally, the full query, to a storage engine." MariaDB joins @DuckDB at DuckCon 7 to discuss our new smart engine, which embeds DuckDB directly — watch now: https://t.co/47HUjFRc36 https://t.co/8WJE4WKhnd
- Aug 8, 20262.2x their median
With four ways to move, the MariaDB Migrator hands users three offline modes for control, one online mode for near zero downtime, and a migration YAML that turns the interactive run into a scheduled pipeline job 🐬➡️🦭 Our latest video covers all four migration modes and demos a full production cutover with Replication Mode — from first launch, through connection checks and application user handling: https://t.co/9tsp9MCGSh
- Sep 17, 20261.8x their median
¡Estamos encantados de anunciar que MariaDB es un orgulloso patrocinador del CAIO Day 2026, organizado por @iKN_Spain! El próximo 30 de septiembre, nos reuniremos con líderes de la industria en Loom Azca (Madrid) para explorar el lema de este año: "Cómo escalar la Inteligencia Artificial en la empresa". 🎤 Destacado especial: No te pierdas a nuestra VP de Ventas para EMEA, Nieves Delgado, quien participará en el panel: "Visión de la industria: Tecnología y arquitectura para escalar la Inteligencia Artificial en la empresa: Integración, datos y evolución de plataformas". Desde los datos y la gobernanza hasta la tecnología y los agentes inteligentes, nos entusiasma profundizar en lo que se necesita para industrializar verdaderamente la IA. La IA es tan potente como los datos que la respaldan. Visita al equipo de MariaDB para descubrir cómo nuestra plataforma de base de datos puede preparar tu estrategia de IA para el futuro e impulsar un impacto real en el negocio. 🎤 Cuándo: 30 de septiembre de 2026 🎤 Dónde: Loom Azca, Madrid 🎤 Inscripción gratuita : https://t.co/2mmjJN05qG
- Jul 24, 20261.7x their median
A new version of our MariaDB Enterprise Kubernetes Operator 26.06 is now available! ✨ Explore key updates across business-critical availability, security, and compliance in our latest release: https://t.co/e0jzjMlkp0 https://t.co/iRQPElRzVD
- Aug 21, 20261.6x their median
"There are a lot of things that go into actually making a true, enterprise-ready platform." Our recent webinar, Powering the Agent-Driven Enterprise, explores what agentic applications demand from the database underneath: far more queries per task, time budgets measured in milliseconds, and transactional, analytical, vector, and JSON workloads served from one place. Explore the latest in our on-demand session: https://t.co/7zNDoOW2f4
- Aug 5, 20261.6x their median
Exciting news: MariaDB has been named Best Overall Database in the 2026 DBTA Readers' Choice Awards for a second year in a row, and a third time overall! 🎉 Learn more: https://t.co/AEksXFZ2sw https://t.co/AZUnJ4KZIW
- Aug 13, 2026
Scenes from @Carahsoft's fourth annual DevSecOps Conference in Reston — courtesy of MariaDB's Cliff denDekker and Kris Lister! Thank you again to the Carahsoft team, and to everyone who came by to explore how MariaDB supports Zero Trust architectures and AI-ready workloads on one enterprise database platform.
- Sep 15, 2026
The most awkward part about building a database for an AI application is not knowing how much traffic it will get 😶 MariaDB Cloud Serverless takes the guesswork out — with setup only taking minutes, capacity follows actual usage, and there's no instance size to revisit. Explore it in depth: https://t.co/fsZ16WDDYN
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 9 interactions against 450K followers, an engagement rate of 0.002%. Measured over 17 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.373% of those impressions turn into an interaction. That is about 0.536% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 100% carry an image or video and 88% link out. The account's strongest tracked post pulled 40 interactions, about 4.4x its own typical post.
- What is MariaDB's engagement rate on X?
- MariaDB (@mariadb) has an engagement rate of 0.002%, based on the median interactions across 17 original posts from the last 30 days against 450,004 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, MariaDB sits below the 10th percentile of the 205,048 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @mariadb have real engagement?
- Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @mariadb post?
- Most posts go out around 01:00 UTC, and Thursday is its busiest day, at roughly 0.67 posts per day across the measured window.