⏹️ SQL vs. NoSQL Explained (in 4 Minutes) 📱 SQL DATABASES

Channel
Data Science
@sql_databases
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
70,914subscribers
-139 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001660295583 |
|---|---|
| Type | Channel |
| Username | @sql_databases |
| Description | Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/sql_databases |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 02:08 | 70,914 | -23 |
| 20 Aug 2026, 17:44 | 70,937 | +2 |
| 19 Aug 2026, 15:42 | 70,935 | +4 |
| 18 Aug 2026, 18:18 | 70,931 | -16 |
| 17 Aug 2026, 21:52 | 70,947 | -12 |
| 16 Aug 2026, 21:05 | 70,959 | -13 |
| 15 Aug 2026, 13:37 | 70,972 | -29 |
| 13 Aug 2026, 23:16 | 71,001 | -10 |
| 12 Aug 2026, 19:16 | 71,011 | +4 |
| 11 Aug 2026, 22:52 | 71,007 | -20 |
| 11 Aug 2026, 00:58 | 71,027 | -13 |
| 9 Aug 2026, 22:16 | 71,040 | -6 |
| 8 Aug 2026, 23:02 | 71,046 | +6 |
| 7 Aug 2026, 21:45 | 71,040 | -13 |
| 7 Aug 2026, 04:15 | 71,053 | first reading |
Engagement
27 posts held, back to 21 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.0%
- avg views ÷ 70,914 subscribers
- Avg views / post
- 7,770
- 26 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 26
- of 27 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 21 August 2026 |
|---|---|
| Posts held | 27 (21 July 2026 – 21 August 2026) |
| Views total | 202,110 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 12:40 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 617
- Videos
- 3
- Links
- 180
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 10m 03s
- Average length
- 5m 02s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
The SQL Circle
SQL Joins
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SQL vs. Pandas
Data Science Jobs Checklist
💡 The Basics of Database Sharding and Partitioning in System Design 📱 SQL Databases
📱Data Science 📱Build with AI: SQL Agents with Large Language Models
🔅 Build with AI: SQL Agents with Large Language Models 📝 Learn how to build an AI SQL agent from scratch using Python and different LLM frameworks. 🌐 Author: Rami Krispin 🔰 Level: Beginner ⏰ Duration: 1h 6m 📋 Topics: Large Language Models, SQL, Artificial Intelligence 🔗 Join Data Science for more courses
Array Data Structure Explained Arrays are one of the most fundamental data structures in programming. In this short video, you’ll learn how arrays store elements in contiguous memory, how indexing works, and why arrays are fast and efficient for data access. 🔹 What is an Array? 🔹 Indexing & Memory Representation 🔹 Real-world visualization 🔹 Arrays vs Python Lists Perfect for beginners, CS students, and interview p…
🗓️ Your Pandas Cheat Sheet Is Here! If you’re learning Data Science or working with data daily, this one’s a lifesaver. I’ve put together the most essential Pandas commands you’ll use for: ✔️ Cleaning data ✔️ Filtering rows ✔️ Merging tables ✔️ Aggregations ✔️ Window functions ...and much more.
Showing the 12 most recent of 27 posts we hold for @sql_databases. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 228,774 of 1,584,142entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@linkedin_learning · 218,422#1
@Learn_Business_101 · 52,157#2
@cryptotutorials_101 · 30,540#3
@Python53 · 50,412#4
@sqlspecialist · 110,775#5
@MachineLearning9 · 40,997#6
@sqlanalyst · 76,646#7
@DataAnalyticsX · 29,861#8
@learndataanalysis · 52,960#9
@Learn_Solidworks · 27,199#10
@InterviewBooks · 40,471#11
@dataanalystinterview · 52,669#12
@LearnPython3 · 125,088#13
@JavaScript_Trainings · 97,098#14
@webdev_trainings · 133,958#15
@Artificial_Intelligence_COM · 72,539#16
@machine_learning_courses · 95,211#17
@React_Training · 63,212#18
@APP_Mastery · 39,888#19
@SoftSkills101 · 35,191#20
@python_100_days_of_code · 50,792#21
@ZTM_ACADEMY · 41,162#22
@webdevcoursefree · 79,334#23
@datasciencefree · 67,978#24
@codedamn · 34,523#25
@datasciencefun · 77,305#26
@CodeProgrammer · 68,188#27
@Programming_experts · 67,332#28
@PaperNexus · 33,561#29
@ml_ds_ai_jobs · 25,980#30
@machinelearning_deeplearning · 55,195#31
@javascript_courses · 55,637#32
@pythonRe · 40,106#33
@excel_analyst · 72,374#34
@Master_Coding_Interview · 30,321#35
@PowerBI_analyst · 55,932#36
@Jobs204 · 22,042#37
@pythonspecialist · 56,048#38
@udemyrips · 17,563#39
@pythondevelopersindia · 63,316#40
@crackingthecodinginterview · 52,284#41
@programming_guide · 56,176#42
@bigdataspecialist · 26,634#43
@dsabooks · 59,037#44
@sql_engineer · 10,859#45
@pythonanalyst · 51,860#46
@udemy_free_courses_with_certi · 70,642#47
@AI_Best_Tools · 57,595#48
@CdiNotes · 19,473#49
@jobs_SQL · 91,192#50
@AlwaysFreeUdemyCourses · 18,548#51
@javascript · 31,261#52
@Curiousprogrammer · 42,308#53
@PythonInterviews · 28,944#54
@sqlproject · 39,703#55
@ineuron_bigdata · 7,047 (as read 20 August 2026)#56
@computer_science_and_programming · 140,868#57
@ainews_daily · 3,855#58
@learngpt · 37,425#59
@AutoCAD_Explained · 25,155#60
@pythonfreebootcamp · 40,853#61
@OpenAI_Mastery · 49,940#62
@AI_Agentic_Coding · 25,178#63
@ready_dot_code · 8,448#64
@Python_100_Days_of_Code_Udemy · 22,232#65
@ProgramsStore · 15,649#66
@remote_python_jobs · 4,889#67
@getjobss · 113,225#68
@remote_frontend_jobs · 4,662#69
@aipost · 731,966#70
@aineeringdotcom · 15,969#71
@aiindi · 57,472#72
@the_programming_girls · 30,404#73
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@LinuxMastery · 67,233
Telegram ranks this channel #4 of 60 here — alongside 59 others — read 22 August 2026
@linkedin_learning · 218,422
Telegram ranks this channel #6 of 65 here — alongside 64 others — read 11 August 2026
@React_Training · 63,212
Telegram ranks this channel #16 of 64 here — alongside 63 others — read 21 August 2026
@sqlanalyst · 76,646
Telegram ranks this channel #18 of 85 here — alongside 84 others — read 19 August 2026
@JavaScript_Trainings · 97,098
Telegram ranks this channel #18 of 68 here — alongside 67 others — read 16 August 2026
@Artificial_Intelligence_COM · 72,539
Telegram ranks this channel #27 of 46 here — alongside 45 others — read 20 August 2026
@machine_learning_courses · 95,211
Telegram ranks this channel #27 of 74 here — alongside 73 others — read 16 August 2026
@studymaterial_IT · 93,641
Telegram ranks this channel #30 of 79 here — alongside 78 others — read 16 August 2026
@sqlspecialist · 110,775
Telegram ranks this channel #30 of 83 here — alongside 82 others — read 14 August 2026
@GreatLearningAcademy · 156,950
Telegram ranks this channel #32 of 83 here — alongside 82 others — read 12 August 2026
@pythonnotes1 · 78,494
Telegram ranks this channel #34 of 69 here — alongside 68 others — read 19 August 2026
@webdev_trainings · 133,958
Telegram ranks this channel #36 of 65 here — alongside 64 others — read 13 August 2026
@Udemy7 · 123,887
Telegram ranks this channel #40 of 48 here — alongside 47 others — read 13 August 2026
@codersworld1 · 150,712
Telegram ranks this channel #41 of 83 here — alongside 82 others — read 12 August 2026
@Udemy4U · 115,163
Telegram ranks this channel #43 of 51 here — alongside 50 others — read 14 August 2026
@excel_analyst · 72,374
Telegram ranks this channel #45 of 84 here — alongside 83 others — read 20 August 2026
@LearnPython3 · 125,088
Telegram ranks this channel #47 of 65 here — alongside 64 others — read 13 August 2026
@Curious_Coder · 136,420
Telegram ranks this channel #50 of 75 here — alongside 74 others — read 13 August 2026
@pythonlearnerr · 110,370
Telegram ranks this channel #56 of 75 here — alongside 74 others — read 14 August 2026
@CodeProgrammer · 68,188
Telegram ranks this channel #62 of 84 here — alongside 83 others — read 20 August 2026
@NotesGallery1 · 91,373
Telegram ranks this channel #65 of 71 here — alongside 70 others — read 17 August 2026
@datasciencefree · 67,978
Telegram ranks this channel #67 of 88 here — alongside 87 others — read 20 August 2026
@pythondevelopersindia · 63,316
Telegram ranks this channel #70 of 86 here — alongside 85 others — read 21 August 2026
@jobs_SQL · 91,192
Telegram ranks this channel #70 of 86 here — alongside 85 others — read 17 August 2026
This channel appears in 35 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Data Science” (@sql_databases), 70,914 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/sql_databases.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.