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ScyllaDB

@ScyllaDB · Mountain View, CA · joined 10 Aug 2015

ScyllaDB is the database for data-intensive apps that require high performance and low latency. Monstrously fast + scalable #NoSQL.

29 512Followers
232Following
9 273Posts total
2.9KViews on collected posts

Posts recentes

Rust is always a popular topic at @P99CONF. And our 2026 event is no exception. Find out what's next for #Rustlang from @carllerche, @dmarticus, Hayden Stainsby, @botirkhaltaevv, and @Evanfchan. Save your free spot here > https://t.co/B6YO5fRgtK #ScyllaDB #P99CONF https://t.co/o
267 views · 2 likes · 0 reposts · 0 replies Open on X →
Whether you're working with open source, fully-managed database-as-a-service or anything in between, the total cost goes well beyond the price and infrastructure it runs on. Here are three technical shifts that can lighten the database bill. https://t.co/NXT7c7BD5y #ScyllaDB htt
607 views · 4 likes · 0 reposts · 0 replies Open on X →
For a large class of RAG applications, the vector database is the slowest part of the pipeline. At our free @P99CONF, Jubin Soni will look at when vector search is the right tool, when it isn't, & how to know before committing your stack to it. https://t.co/r2iIoYa0Ex #ScyllaDB
672 views · 3 likes · 2 reposts · 0 replies Open on X →
Monster Scale Summit is where discussions on the challenges engineers face as they scale happen. Rachel Stephens and Adam Jacob touched on when not to worry, when to rearchitect everything, and why passionate criticism is a win. Learn more > https://t.co/Ri8A9ZrQjU #ScyllaDB htt
658 views · 2 likes · 0 reposts · 0 replies Open on X →
When factoring in cost and complexity, poor horizontal scaling, and an inability to store everything in DRAM, returns quickly diminish as you scale with external caches. See why you should ditch yours in this technical blog. https://t.co/EYdgp3CK1w #ScyllaDB https://t.co/er9vGX9
695 views · 3 likes · 0 reposts · 0 replies Open on X →

Em comparação com contas do mesmo porte

5 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. abaixo dos pares tanto em alcance quanto em engajamento.

Mediana de visualizações658esta conta966mediana para 10K–100K
Alcance, %2.23%esta conta3.66%mediana para 10K–100K
Engajamento, %0.66%esta conta1.51%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post6589660.68×
Alcance (visualizações ÷ seguidores)2.23%3.66%0.61×
Taxa de engajamento0.66%1.51%0.44×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

69518 Sep
65819 Sep
672
607
26720 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.43%18 Sep
0.30%19 Sep
0.74%
0.66%
0.75%20 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes87.5%14 in total
Reposts12.5%2 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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