[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  RocksDB KIOXIA releases a new open-source RocksDB plugin to improve SSD performance. Zilliqa is integrating RocksDB for improved database performance. ### About RocksDB RocksDB is a high-performance embedded key-value store often used in blockchain and database applications. ### Engagements: XXXXX [#](/topic/rocksdb/interactions) ---  [Engagements 24-Hour Time-Series Raw Data](/topic/rocksdb/time-series/interactions.tsv) **Current Value**: XXXXX **Daily Average**: XXXXX **1 Week**: XXXXX -XX% **1 Month**: XXXXXX -XX% **6 Months**: XXXXXXX -XXXX% **1 Year**: XXXXXXXXX -XX% **1-Year High**: XXXXXX on 2024-11-14 **1-Year Low**: X on 2025-02-05 | Social Network | X | | -------------- | - | | Engagements | XXXXX | ### Mentions: X [#](/topic/rocksdb/posts_active) ---  [Mentions 24-Hour Time-Series Raw Data](/topic/rocksdb/time-series/posts_active.tsv) **Current Value**: X **Daily Average**: XX **1 Month**: XXX -XX% **6 Months**: XXX +214% **1 Year**: XXXXX +367% **1-Year High**: XXX on 2025-05-16 **1-Year Low**: X on 2025-01-08 | Social Network | X | | -------------- | - | | Mentions | XX | ### Creators: X [#](/topic/rocksdb/contributors_active) ---  [Creators 24-Hour Time-Series Raw Data](/topic/rocksdb/time-series/contributors_active.tsv) X unique social accounts have posts mentioning RocksDB in the last XX hours which is up XX% from X in the previous XX hours **Daily Average**: XX **1 Month**: XXX -XX% **6 Months**: XXX +200% **1 Year**: XXX +272% **1-Year High**: XXX on 2025-09-09 **1-Year Low**: X on 2025-01-08 The most influential creators that mention RocksDB in the last XX hours | Creator | Rank | Followers | Posts | Engagements | | ------- | ---- | --------- | ----- | ----------- | | [@nubskr](/creator/twitter/nubskr) | X | X | X | XX | [View More](/list/creators/rocksdb/100) ### Sentiment: % [#](/topic/rocksdb/sentiment) ---  [Sentiment 24-Hour Time-Series Raw Data](/topic/rocksdb/time-series/sentiment.tsv) **Current Value**: % **Daily Average**: XX% **1 Week**: XXX% no change **1 Month**: XX% -XX% **6 Months**: XX% +32% **1 Year**: XX% +7% **1-Year High**: XXX% on 2024-10-25 **1-Year Low**: XX% on 2025-01-06 ### Top Social Posts [#](/topic/rocksdb/posts) --- Top posts by engagements in the last XX hours *Showing only X posts for non-authenticated requests. Use your API key in requests for full results.* "it outperforms kafka and rocksdb on workloads of their choice" [X Link](https://x.com/nubskr/status/1980607923693723708) [@nubskr](/creator/x/nubskr) 2025-10-21T12:11Z X followers, XX engagements "Made a high performance storage engine in Rust called walrus it outperforms apache kafka and rocksdb in workloads of their choice. ๐งต" [X Link](https://x.com/nubskr/status/1980607213208023346) [@nubskr](/creator/x/nubskr) 2025-10-21T12:08Z X followers, XX engagements "I was going through the RocksDB blog post Dynamic Level Size for Level-Based Compaction (link: ๐) where it says "total size of the DB divided by the size of the last level will be a good estimation of spaceamplification". I was trying to get under the skin of this hypothesis and came up with the following generalisation . In a leveled LSM . each level is about T times larger than the one above it except for L0 levels dont overlap internally so almost all live data ends up consolidated at the bottom level upper levels hold only a small fraction of the bytes at any time (recent versions" [X Link](https://x.com/debasishg/status/1980543776188747882) [@debasishg](/creator/x/debasishg) 2025-10-21T07:56Z 12.1K followers, 4007 engagements "@0xpsupsu We found that iteration in RocksDB state storage is extremely slow. Each Next call takes up to 2ms Prev takes up to 7ms. We tried tuning the DB config but it made no discernible difference" [X Link](https://x.com/larry0x/status/1980361159573442802) [@larry0x](/creator/x/larry0x) 2025-10-20T19:51Z 39.6K followers, XXX engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
KIOXIA releases a new open-source RocksDB plugin to improve SSD performance. Zilliqa is integrating RocksDB for improved database performance.
RocksDB is a high-performance embedded key-value store often used in blockchain and database applications.
Engagements 24-Hour Time-Series Raw Data
Current Value: XXXXX
Daily Average: XXXXX
1 Week: XXXXX -XX%
1 Month: XXXXXX -XX%
6 Months: XXXXXXX -XXXX%
1 Year: XXXXXXXXX -XX%
1-Year High: XXXXXX on 2024-11-14
1-Year Low: X on 2025-02-05
Social Network | X |
---|---|
Engagements | XXXXX |
Mentions 24-Hour Time-Series Raw Data
Current Value: X
Daily Average: XX
1 Month: XXX -XX%
6 Months: XXX +214%
1 Year: XXXXX +367%
1-Year High: XXX on 2025-05-16
1-Year Low: X on 2025-01-08
Social Network | X |
---|---|
Mentions | XX |
Creators 24-Hour Time-Series Raw Data
X unique social accounts have posts mentioning RocksDB in the last XX hours which is up XX% from X in the previous XX hours
Daily Average: XX
1 Month: XXX -XX%
6 Months: XXX +200%
1 Year: XXX +272%
1-Year High: XXX on 2025-09-09
1-Year Low: X on 2025-01-08
The most influential creators that mention RocksDB in the last XX hours
Creator | Rank | Followers | Posts | Engagements |
---|---|---|---|---|
@nubskr | X | X | X | XX |
Sentiment 24-Hour Time-Series Raw Data
Current Value: %
Daily Average: XX%
1 Week: XXX% no change
1 Month: XX% -XX%
6 Months: XX% +32%
1 Year: XX% +7%
1-Year High: XXX% on 2024-10-25
1-Year Low: XX% on 2025-01-06
Top posts by engagements in the last XX hours
Showing only X posts for non-authenticated requests. Use your API key in requests for full results.
"it outperforms kafka and rocksdb on workloads of their choice"
X Link @nubskr 2025-10-21T12:11Z X followers, XX engagements
"Made a high performance storage engine in Rust called walrus it outperforms apache kafka and rocksdb in workloads of their choice. ๐งต"
X Link @nubskr 2025-10-21T12:08Z X followers, XX engagements
"I was going through the RocksDB blog post Dynamic Level Size for Level-Based Compaction (link: ๐) where it says "total size of the DB divided by the size of the last level will be a good estimation of spaceamplification". I was trying to get under the skin of this hypothesis and came up with the following generalisation . In a leveled LSM . each level is about T times larger than the one above it except for L0 levels dont overlap internally so almost all live data ends up consolidated at the bottom level upper levels hold only a small fraction of the bytes at any time (recent versions"
X Link @debasishg 2025-10-21T07:56Z 12.1K followers, 4007 engagements
"@0xpsupsu We found that iteration in RocksDB state storage is extremely slow. Each Next call takes up to 2ms Prev takes up to 7ms. We tried tuning the DB config but it made no discernible difference"
X Link @larry0x 2025-10-20T19:51Z 39.6K followers, XXX engagements
/topic/rocksdb