DataStax
DataStax is the real-time data company for Gen AI applications. DATA = AI
99,843
Followers
1,380
Following
13,172
Tweets
12.2
Avg Engagement
873
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DataStax'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: Mid-Tier (10K+)
- Account Age:2010-04-12
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:9.4
- Avg Retweets per Tweet:2.9
- Followers Analyzed:9,992
Engagement Analysis
Based on 3,219 tweetsDataStax's tweets show moderate engagement, with a focus on industry reports and case studies. Their content often includes links to guides and research, encouraging further exploration.
9.4
Avg Likes/Tweet
2.9
Avg Retweets/Tweet
30,207
Total Likes
9,175
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
8
75th Percentile
987
Top Tweet
0.12
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.9%
Original
7.3%
Replies
17.8%
Retweets
8.1%
Quotes
0.0%
Threads
0.0%
With Media
94.5%
With Links
78.1%
With #Tags
71.7%
With @Mentions
37.0%
With Emojis
219
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
94.3%
Weekday Posts
5.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 tweetsContent Type Distribution
Content Breakdown
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 573 retweets (18% 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 3,219 tweetsEngagement 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 9,992 followersThe audience is likely interested in data technologies, AI, and cloud solutions. They are professionals and decision-makers in tech companies looking for scalable and high-performance data solutions.
Average
Audience Quality
24.5%
Suspicion Index
19.9%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.7%
Empty Bio
20.1%
<10 Tweets
27.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.6%
No URL
11.0%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
12,792,506
Total Potential Reach
87
Median Follower Reach
311
75th Percentile Reach
8.7%
>1K followers
1.3%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.7%
Creators
5,166 accounts
28.2%
Consumers
2,821 accounts
20.1%
Dormant
2,005 accounts
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):
161
Verified Followers
1.61% of total
891
Protected Accounts
8.91% of total
6 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 |
|---|---|---|---|
| @CathieDWood | 1,606,467 | Investor | disruptive innovation, economist, women's advocate |
| @MasNotes | 1,272,649 | Lawyer | Technology, Innovation, Business |
| @KirkDBorne | 393,905 | Data Scientist | Big Data, Data Science, AI |
| @EvanKirstel | 347,040 | Tech Influencer | Tech, B2B, Social media |
| @antgrasso | 329,472 | Entrepreneur | Entrepreneurship, Technology, Sustainability |
| @zhang_heqing | 326,277 | Counsellor | Counselling, Director, Personal |
| @robtswthrayguns | 258,037 | Inventor | synthwave, NFT, NSFW |
| @KarenManzano | 242,593 | Presenter | deportes, momfit, Dios |
| @Ajay_Bagga | 208,990 | Market Expert | Market, Investor, Art of Living |
| @andersonDrLJA | 198,678 | Doctor | Patriotism, Family, Christianity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,131
Followers With Bio
2,869
Followers Without Bio
71.31%
% With Bio
28.69%
% 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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Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,219 analyzed4,756
Combined Engagement
4,213
Total Likes
543
Total Retweets
951
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
Game on! When @ESL wanted to move its #gaming services to the cloud, it turned to DataStax Astra DB for high availability and support for its critical #RealTimeData: https://t.co/YmcEsYIXDu https://t.co/Bakdhmljtm
Nearly 64% of companies have either adopted event stream processing technology or plan to in the next 12 months! 🚀 (@451Research) What's driving the demand for streaming and the shift toward unified data? @Racheltdunning and @nickpatience explore: https://t.co/RvDCxVsT59
🚀 An exciting quarter in the books! We’re proud that enterprises trust us with their data that matters most. Thank you to @Grubhub, @MandT_Bank, @Axway and many more. https://t.co/MLfnc0LP3Y #AstraDB #Serverless #DataStax #Cassandra https://t.co/sJisaxHc19
Apache Cassandra® just got even better. 📣 Announcing DataStax Change Data Capture (CDC) for Cassandra powered by Apache #Pulsar. Shatter data silos and derive substantially more from your #Cassandra #databases. https://t.co/FZUuC2ogPh #ChangeDataCapture
↗️ Company momentum ↗️ DataStax and Apache #Cassandra innovation ↗️ Unleashing the #data that matters @ChetKapoor reflects on where we've been and where we're headed in the year ahead: https://t.co/gnTmyFTEQ1 #Cassandra #NoSQL #DataStax
Key Insights & Takeaways
DataStax emphasizes the importance of real-time data for Gen AI applications. They highlight the growing adoption of event stream processing technology. Their content often includes practical use cases for NoSQL databases.
Strengths
- + Established follower base of 99,843
- + 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 @DataStax reveals an growing Twitter presence with 99,843 followers. The account demonstrates a content-creator strategy, averaging 12.2 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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