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

Últimas publicaciones

ScyllaDB@ScyllaDB20 Sep

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 →

ScyllaDB@ScyllaDB19 Sep

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 →

ScyllaDB@ScyllaDB19 Sep

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 →

ScyllaDB@ScyllaDB19 Sep

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 →

ScyllaDB@ScyllaDB18 Sep

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 →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas658esta cuenta966mediana de 10K–100K

Alcance, %2.23%esta cuenta3.66%mediana de 10K–100K

Interacción, %0.66%esta cuenta1.51%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	658	966	0.68×
Alcance (visualizaciones ÷ seguidores)	2.23%	3.66%	0.61×
Tasa de interacción	0.66%	1.51%	0.44×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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