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Answer-first summary52/100 GEO

ScyllaDB

High-performance NoSQL database.

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Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

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Frequently asked questions

What is ScyllaDB?
High-performance NoSQL database.
What does ScyllaDB do?
High-performance NoSQL database compatible with Apache Cassandra with predictable low-latency at scale.
Who is ScyllaDB for?
Engineering teams building latency-sensitive, high-scale applications that need a distributed NoSQL database compatible with Cassandra ecosystems.
Is ScyllaDB verified?
ScyllaDB is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
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ScyllaDB

Invited

High-performance NoSQL database.

DatabaseCH-VER-695059Listed September 10, 2026
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AI-Extractable Summary
What:High-performance NoSQL database.
For whom:Engineering teams building latency-sensitive, high-scale applications that need a distributed NoSQL database compatible with Cassandra ecosystems
Key outcome:Teams can run massive write-heavy workloads with sub-millisecond latency and fewer database nodes, improving throughput while lowering infrastructure costs
Category:Database

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
51
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Teams can run massive write-heavy workloads with sub-millisecond latency and fewer database nodes, improving throughput while lowering infrastructure costs.

About

High-performance NoSQL database compatible with Apache Cassandra with predictable low-latency at scale.

Target Audience: Engineering teams building latency-sensitive, high-scale applications that need a distributed NoSQL database compatible with Cassandra ecosystems.
Not ideal for: Organizations that need a simple relational database, heavy ad hoc SQL analytics, or a small-scale system without distributed database complexity.

What makes it different

  • Shard-per-core architecture designed to fully use modern CPUs and deliver predictable low latency
  • Cassandra-compatible APIs and drivers for easier migration and ecosystem reuse
  • High throughput on commodity hardware with horizontal scaling for large workloads
  • Built for write-heavy, real-time systems where consistent performance matters more than relational features

Tags & Classification

high-throughput event ingestionreal-time user session storagetime-series data managementfraud detection pipelinesactivity feed and telemetry storage
backend engineersdatabase administratorsplatform engineerssite reliability engineers
fintechgamingtelecommunicationsecommerce
Platform: PlatformModel: Enterprise

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_scylladb,
  title = {ScyllaDB},
  url = {https://citablehub.com/p/scylladb},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-695059},
  year = {2026}
}
APA
ScyllaDB. (2026). CitableHub Software Index. https://citablehub.com/p/scylladb.
MLA
"ScyllaDB." CitableHub, 2026, https://citablehub.com/p/scylladb.