How did Databricks Apache Spark 4.3 do on X?
Databricks posted the Apache Spark 4.3 launch from @databricks on Nov 5, 2026. The post has 15,880 views, 137 likes, 14 reposts, 4 quotes and 3 replies, an engagement rate of 0.99%. It ranks #2822 of the 2,981 launches Gridd tracks.
Introducing Apache Spark® 4.3, now available in Databricks Runtime 19! The release brings major new capabilities across real-time processing, history-preserving pipelines, small-data performance, Spark Connect, and SQL. What’s new: - Bring state to Real-Time Mode with streaming aggregation and transformWithState - Preserve history with SCD Type 2 Auto CDC - Iterate faster on small data with Project Feather - Reach Spark from more applications with expanded Spark Connect capabilities It also begins a new quarterly feature-release cadence, bringing completed improvements to users sooner. Get started: https://www.databricks.com/blog/introducing-apache-spark-43-now-available-databricks-runtime-19?utm_source=twitter&utm_medium=organic-social
- 9%the median launch177.5K median views
- #2822of the launches we trackout of 2,981
- 0.2xits own following100,102 followers
- Views
- 15.9K
- Likes
- 137
- Reposts
- 14
- Quotes
- 4
- Replies
- 3
- Bookmarks
- 27
What would these views cost to buy?
At $100 per 1,000 views, the rate a brand pays an agency charging $100K for one million views, 15.9K views would cost $2K. Gridd guarantees one million views, 63x what this post got, for about $25K.
The post reached about 0.2 views for every follower of @databricks.
What launched?
Databricks launched Apache Spark 4.3 on Databricks Runtime 19, adding real-time processing, SCD Type 2 Auto CDC, small-data performance and Spark Connect improvements.
How does it compare with other launches?
Databricks Apache Spark 4.3 has more views than 5% of the 2,981 launches Gridd tracks: 9% of the median launch's 177.5K views.
- Databricks Apache Spark 4.315.9K
- Median tracked launch177.5K
- #1: xAI Voice Cloning204M
| Metric | Databricks Apache Spark 4.3 | Median launch |
|---|---|---|
| Views | 15.9K | 177.5K |
| Engagement rate | 0.99% | 0.48% |
| Views per follower | 0.2 | 2.6 |
| Quote posts | 4 | 27 |
| Saves per 10K views | 17.0 | 13.7 |
Other Databricks launches we track: Databricks Smart Routing in Unity AI Gateway (127.4K views), GPT-5.5 on Databricks (63.4K views), Databricks Genie plugins (52.9K views), Databricks MemCurrent (45.4K views), Databricks Omnigent (38.7K views), Databricks Lakehouse//RT (31K views). All 10 Databricks launches, or every developer tools launch.
Against launches like it
A launch only means something against comparable ones. These are the groups it belongs to, and where it sits in each.
| Compared with | Launches | Median views | This one | Rank |
|---|---|---|---|---|
| Developer tools launches | 607 | 111.2K | 14% | #566 |
| Accounts 100K to 1M followers | 973 | 241.4K | 7% | #956 |
| Image launch posts | 660 | 151.4K | 10% | #613 |
| Every launch | 2,981 | 177.5K | 9% | #2822 |
What this launch shows
From an account with 100.1K followers, the post reached 0.2 times the account's following. Launches from accounts 100K to 1M followers reach a median of 0.9 times their following, so this one went about 17% as far as usual for its size. It ranks 956 of 973 launches from accounts that size.
It drew 4 quote posts, 2.5 per 10,000 views against a median of 1.7. More people than usual added their own take, and a quote post is what carries a launch to audiences the account does not have.
The first line is "Introducing Apache Spark® 4.3, now available in Databricks Runtime 19!". The post runs 85 words, against a median of 39 for launch posts here, and leads with an image: image launches have a median of 151.4K views, against 186.1K for the rest.
There is a link in the post. Launch posts with a link have a median of 160.7K views in the tracker.
It went out on a Thursday (UTC). Thursday launches have a median of 169.9K views; the strongest day is Tuesday at 197.9K.
Every comparison is against the 2,981 launches in the tracker, read on Nov 14, 2026. Medians, not averages. See the state of launches on X for the full breakdown.
Questions about this launch
- What is Databricks?
- In its own words on X: "Databricks is the Data + AI company, helping organizations build and scale data and AI apps, analytics and agents." Databricks posted the Apache Spark 4.3 launch from @databricks on Nov 5, 2026.
- How many views did Databricks Apache Spark 4.3 get on X?
- 15,880 views. Databricks posted it from @databricks on Nov 5, 2026, and the post has 137 likes, 14 reposts, 4 quotes, 3 replies and 27 bookmarks. Gridd re-reads these numbers from the post every six hours; these were read on Nov 14, 2026.
- Was Databricks Apache Spark 4.3 a big launch on X?
- It ranks #2822 of the 2,981 launches Gridd tracks, with more views than 5% of them and 9% of the median launch's 177.5K views. Its engagement rate is 0.99%, against a median of 0.48%.
- What would 15.9K views on X cost to buy?
- At $100 per 1,000 views, the rate a brand pays an agency charging $100K for one million views, 15.9K views would cost $2K. Gridd guarantees one million views, 63x what this post got, for about $25K.
Source: Gridd launch tracker, gridd.agency/launches/databricks-apache-spark-4-3, read from the post on X on Nov 14, 2026. Free to cite with a link (CC BY 4.0). Get every launch as JSON.