Top Tweets for #InMemoryDatabase
Still on Valkey 7.2? Upgrading can cut per-key memory overhead by up to 60% in some cases, with no client changes.
Rain Valentine, @awscloud, previews her ValkeyConf talk on Oct 5.
Register here: https://t.co/CVBLfziDUt
#Valkey #OpenSource #InMemoryDatabase
0.3 GB/s to ~10 GB/s. That's the throughput gain Momento and Tensormesh got optimizing their KV cache client against Valkey: custom RESP client, fixed-size chunking, moving off Python's GIL into C++.
https://t.co/X1HeQJgkQN
#Valkey #OpenSource #Caching #InMemoryDatabase
Read the article "How Python Developers Can Benefit from Using the Right Database Management System"
https://t.co/38yjvxPzmu
The right #DBMS can give #Pythondevelopers direct access to microsecond‑level performance & flexible deployment from edge - cloud/server.
#InMemoryDatabase
If you think Redis is just a key-value store this video will change how you look at Redis forever
https://t.co/KM8hWkH1dN
#redis #inmemorydatabase #cache #concurrency #database #hashmaps
We invite you to read the article, "Hybrid Storage or Cache Layer, Which One Best Fits Your Project?"
https://t.co/UL82RGufhQ
#caching #hybridstorage #InMemoryDatabase #DatabaseArchitecture #DataEngineering #datastorage
Read the paper “Exploring Code Size and Footprint, and #InMemoryDatabase Techniques to Minimize Footprint”.
Reviews differentiation and describes some of the techniques employed within #eXtremeDB to #minimizefootprint.
https://t.co/Bk8LYUzsDr
#DBMS #EmbeddedDevelopment
In case you missed it “11 Myths About In-Memory Database Systems”. Misinformation and misunderstandings still abound. This article in @ElectronicDesign will try to help.
https://t.co/qGFht0LEph
#InMemoryDatabase #EmbeddedSystems #embeddedprogramming #embeddedengineer
Routers have to be fast. Offering Patricia trie indexes as well as #hybridstorage based on an #inmemorydatabase for faster processing, eXtremeDB has been at the core of #networkequipment for years.
https://t.co/nd2YBctsex
#router #extremedb #DatabaseManagement #networkengineer
In-memory databases are more resilient to attack than persistent databases. Learn more https://t.co/kicQuNixQT
#inmemorydatabase #IMDS #extremedb #databasemanagement #databasedesign #embeddedsystems
The paper “Exploring Code Size and Footprint, and In-memory Database Techniques to Minimize Footprint” explains the difference between code size & footprint and ways to #minimizefootprint. https://t.co/QBoFC8fwRg
#dbms #inmemorydatabase #embeddeddatatabase #embeddedsystems
Using an in-memory and/or hybrid database storage database is one way to reduce memory consumption in #embeddedsystems.
Learn more about this and other features that reduce memory usage: https://t.co/LgcNWN346x
#extremedb #databasemanagement #InMemoryDatabase #EdgeComputing
Only one in-memory embedded database management system offers incremental backup and restore for better performance, eXtremeDB.
Learn more: https://t.co/InKUGxUBb5
#InMemoryDatabase #extremedb #DatabaseManagement for #embeddedsystems
Did you know that Dragonfly can be used to efficiently track real-time statistical values? Our multi-threaded architecture makes it perfect for tracking user events at scale. Check out our new video for use cases: https://t.co/c9ZcP72xMS #DragonflyDB #RealTime #InMemoryDatabase
https://t.co/c9ZcP72xMS
Calling all @ApacheIgnite Users! Registration for the upcoming Ignite Summit on Feb 25 is now open.
Reserve your seat today!
https://t.co/SeFaBU4DmM
#ApacheIgnite #IgniteSummit2025 #InMemoryDatabase #InMemoryComputing #InMemoryCache #DistributedDatabase
Calling all Apache Ignite Users! Registration for the upcoming Ignite Summit on Feb 25 is now open.
Reserve your seat today!
https://t.co/w9Dk1yeEiJ
#ApacheIgnite #IgniteSummit2025 #InMemoryDatabase #InMemoryComputing #InMemoryCache #DistributedDatabase
Unpack the key elements of in-memory databases in our recent #blog, covering innovative write paths, DRAM vs SSD performance, and SSD-optimized database cost advantages:
https://t.co/lKfiMz4ytB
#Aerospike #InMemoryDatabase #DataPerformance
Redis Scaling Simplified! https://t.co/0g0OwSpN0G Learn how #Dragonfly offers an efficient alternative to #Redis Cluster. Explore our blog for insights on vertical scaling, reducing complexity, utilizing Dragonfly's power for large-scale workloads. #ElastiCache #InMemoryDatabase
Read the white paper, "Exploring Code Size and Footprint, and In-memory Database Techniques to Minimize Footprint".
The terms code size and footprint are often used interchangeably but they are not the same.
https://t.co/A98kMOAQ8a
#dbms #codesize #inmemorydatabase
The In-memory Database acts as a cache for frequently streamed content, optimizing performance. ⚡📡
🔗https://t.co/vzDOiCAvBx
#InMemoryDatabase #PerformanceOptimization #AITools #AIcommunity
#NFTCommunity
In case you missed it the first time, 11 Myths About In-Memory Database Systems by @McObject CEO @McGuy.
https://t.co/dJgBxUX3Zj
#imds #dbms #inmemorydatabase #embeddedsystems #eXtremeDB
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