MariaDB

MariaDB

@mariadb

We are the company behind #MariaDB, the fastest growing #opensource #database. Download MariaDB at https://mariadb.com/downloads/.

The Internet https://mariadb.com/ Joined 2011-11-03 Date of Analysis: Dec 16, 2025

474,910

Followers

576

Following

18,170

Tweets

9.5

Avg Engagement

914

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @mariadb's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2011-11-03
  • Verification:No
  • Location:The Internet

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:7.7
  • Avg Retweets per Tweet:1.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account maintains a steady level of engagement with an average of 59 likes and 18 retweets per tweet. Verified accounts make up a small portion of the followers, indicating a mix of brand and individual supporters.

7.7

Avg Likes/Tweet

1.7

Avg Retweets/Tweet

25,081

Total Likes

5,647

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

7

Median Likes

1

Median Retweets

12

75th Percentile

216

Top Tweet

0.02

Engagement per 1K Followers

Normalized influence metric

Consistent

Engagement Pattern

Steady engagement across posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

97.3%

Original

1.1%

Replies

1.3%

Retweets

0.3%

Quotes

0.0%

Threads

0.0%

With Media

98.4%

With Links

96.8%

With #Tags

26.6%

With @Mentions

49.5%

With Emojis

231

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.01

Reply/Original Ratio

0.21

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

92.7%

Weekday Posts

7.3%

Weekend Posts

Top Hashtags

#mariadb (2432) #database (719) #skysql (671) #xpand (403) #data (382) #distributedsql (360) #cloud (331) #databases (175) #developers (174) #sql (151)

Most Mentioned

@alejandro_du (203) @github (111) @probablyrealrob (58) @awscloud (55) @googlecloud (55) @mariadb (32) @sada (30) @mindsdb (26) @medium (25) @vmo2news (23)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,163 (97%)
Replies 35 (1%)
Retweets 43 (1%)
Quote Tweets 9 (0%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 43 retweets (1% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

The primary audience includes developers, software professionals, and potential investors interested in MariaDB's growth and public listing. The content also appeals to open-source enthusiasts and tech communities.

Average

Audience Quality

27.8%

Suspicion Index

37.3%

Low-Quality %

44

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

54.3%

Empty Bio

37.2%

<10 Tweets

9.1%

Mass Following (>2K)

0.0%

New (<90 days)

50.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.4%

No URL

20.3%

<3 Tweets

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

16,564,569

Total Potential Reach

44

Median Follower Reach

136

75th Percentile Reach

2.2%

>1K followers

0.1%

>10K followers

0.0%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

26.7%

Creators

13,372 accounts

36.0%

Consumers

18,004 accounts

37.2%

Dormant

18,624 accounts

86

Verified Followers

0.17% of total

4.8%

Professional Bios

founder, dev, analyst, etc.

0.1

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

Lagos, Nigeria (509) Nigeria (440) Nairobi, Kenya (266) Kampala, Uganda (239) Accra, Ghana (220) Dhaka, Bangladesh (199) Bangladesh (155) Afghanistan (112) République Démocratique Du Con (109) Ghana (108)

219

Verified Followers

0.22% of total

6,226

Protected Accounts

6.23% of total

3 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@CryptoWeb3_NFT 4,364,350 - -
@NYSE 1,691,639 Finance Finance, Investing, Opportunities
@SinghLions 1,334,864 Restaurateur Food, Travel, Influencer
@LeBronJames 1,004,965 - -
@lidangzzz 842,392 - -
@mckatsug 387,081 TV Presenter TV presenter, Activist, Music
@Miacrypto_ 323,972 Crypto Influencer Crypto, NFT, Marketing
@ShitCoinBscGem 239,091 - -
@waluwande 210,081 Policy Expert Forests, Policy, Golf
@Mia270930956 192,455 - -

Top Keywords in Follower Bios

developer (2,042) love (1,757) engineer (1,622) software (1,585) life (1,355) god (1,251) web (1,191) student (861) business (820) data (769)

Top Hashtags in Follower Bios

#python (59) #bitcoin (54) #nft (50) #ai (46) #btc (44) #javascript (42) #crypto (41) #php (37) #seo (33) #java (31)

52,625

Followers With Bio

47,375

Followers Without Bio

52.62%

% With Bio

47.38%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

635

Combined Engagement

486

Total Likes

149

Total Retweets

127

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

80%

With @Mentions

100%

With Links

Topical Analysis:

Open-Source Database Public Listing Developer Advocacy Community Engagement Technology

Key Insights & Takeaways

MariaDB is actively working towards becoming a publicly listed company, which is a major milestone for the organization. The company emphasizes its open-source nature and community-driven approach, which are central to its identity. Developer advocacy and practical tips, such as using Raspberry Pi, help engage the technical audience and build brand loyalty.

Strengths

  • + Established follower base of 474,910
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @mariadb reveals an growing Twitter presence with 474,910 followers. The account demonstrates a content-creator strategy, averaging 9.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025