Data Science. SQL hub

📈 Analytical overview of Telegram channel Data Science. SQL hub

Channel Data Science. SQL hub (@sqlhub) in the Russian language segment is an active participant. Currently, the community unites 35 818 subscribers, ranking 3 817 in the Technologies & Applications category and 18 104 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 35 818 subscribers.

According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -37 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.

• Verification status: Not verified
• Engagement rate (ER): The average audience engagement rate is 7.26%. Within the first 24 hours after publication, content typically collects 3.88% reactions from the total number of subscribers.
• Post reach: On average, each post receives 2 603 views. Within the first day, a publication typically gains 1 389 views.
• Reactions and interaction: The audience actively supports content: the average number of reactions per post is 11.
• Thematic interests: Content is focused on key topics such as sql, индекс, postgres, index, sqlite.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“По всем вопросам- @workakkk @itchannels_telegram - 🔥лучшие ит-каналы @ai_machinelearning_big_data - Machine learning @pythonl - Python @pythonlbooks- python книги📚 @datascienceiot - ml книги📚 РКН: https://vk.cc/cIi9vo #VRHSZ”

Thanks to the high frequency of updates (latest data received on 21 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.