ScyllaDB
E724173
ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
All labels observed (7)
| Label | Occurrences |
|---|---|
| ScyllaDB canonical | 4 |
| Scylla Enterprise | 1 |
| Scylla Manager | 1 |
| Scylla Open Source | 1 |
| ScyllaDB Inc. | 1 |
| ScyllaDB NoSQL database | 1 |
| TSDB | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8285672 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ScyllaDB Context triple: [Avi Kivity, employer, ScyllaDB]
-
A.
CockroachDB
CockroachDB is a distributed SQL database designed for horizontal scalability, strong consistency, and high fault tolerance across multiple nodes and regions.
-
B.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
C.
MariaDB
MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
-
D.
MongoDB Cloud
MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
-
E.
TokuDB
TokuDB is a high-performance storage engine for MySQL and MariaDB designed for large-scale, write-intensive workloads using Fractal Tree indexing to improve compression and insertion speed.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ScyllaDB Target entity description: ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
-
A.
CockroachDB
CockroachDB is a distributed SQL database designed for horizontal scalability, strong consistency, and high fault tolerance across multiple nodes and regions.
-
B.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
C.
MariaDB
MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
-
D.
MongoDB Cloud
MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
-
E.
TokuDB
TokuDB is a high-performance storage engine for MySQL and MariaDB designed for large-scale, write-intensive workloads using Fractal Tree indexing to improve compression and insertion speed.
- F. None of above. chosen
Statements (91)
| Predicate | Object |
|---|---|
| instanceOf |
Cassandra-compatible database
ⓘ
NoSQL database ⓘ distributed database ⓘ |
| AlternatorCompatibility |
Amazon DynamoDB API
ⓘ
linked to:
Amazon DynamoDB
|
| architecture |
sharded per-core architecture
ⓘ
shared-nothing ⓘ |
| basedOn | Seastar framework ⓘ |
| compatibleWith | Apache Cassandra ⓘ |
| consistencyModel | tunable consistency per operation ⓘ |
| dataModel | partition key and clustering key-based tables ⓘ |
| developer |
ScyllaDB Inc.
ⓘ
linked to:
ScyllaDB
|
| dropInReplacementFor | Apache Cassandra ⓘ |
| faultTolerance |
multi-datacenter replication
ⓘ
rack-aware placement ⓘ replication across nodes ⓘ |
| feature |
REST-based management API
ⓘ
auto-tuning caching ⓘ auto-tuning compaction ⓘ automatic hinting ⓘ backpressure mechanisms ⓘ data center-aware replication ⓘ online scaling ⓘ rack-aware replication ⓘ repair-based node operations ⓘ rolling upgrades ⓘ web-based management console ⓘ workload shedding ⓘ |
| hasComponent |
Scylla Alternator
ⓘ
Scylla Manager ⓘ
linked to:
ScyllaDB
Scylla Monitoring Stack ⓘ |
| hasEdition |
Scylla Cloud
ⓘ
Scylla Enterprise ⓘ
linked to:
ScyllaDB
Scylla Open Source ⓘ
linked to:
ScyllaDB
|
| license | AGPLv3 (core) ⓘ |
| optimizedFor |
high availability
ⓘ
high throughput ⓘ horizontal scalability ⓘ low latency ⓘ |
| programmingLanguage | C++ ⓘ |
| supports |
Apache Cassandra drivers
ⓘ
CQL ⓘ
linked to:
Apache Cassandra CQL
Cassandra Query Language ⓘ
linked to:
Apache Cassandra CQL
Docker deployment ⓘ DynamoDB-compatible API via Alternator ⓘ Grafana dashboards ⓘ I/O scheduling ⓘ Kubernetes deployment ⓘ Prometheus metrics ⓘ Raft-based schema management ⓘ SSTable format (Cassandra-compatible) ⓘ automatic load balancing ⓘ automatic sharding ⓘ change data capture ⓘ cloud deployment ⓘ encryption at rest ⓘ encryption in transit ⓘ eventual consistency ⓘ incremental repair ⓘ lightweight transactions ⓘ materialized views ⓘ multi-datacenter replication ⓘ multi-tenant resource isolation ⓘ on-premises deployment ⓘ row-level TTL ⓘ row-level repair ⓘ secondary indexes ⓘ strong consistency (per operation via consistency levels) ⓘ tunable consistency ⓘ workload prioritization ⓘ |
| supportsAPI |
Cassandra native protocol
ⓘ
Thrift (legacy, via compatibility) ⓘ |
| supportsDeployment |
AWS
ⓘ
linked to:
Amazon Web Services
Google Cloud Platform ⓘ
linked to:
Google Cloud
Microsoft Azure ⓘ
linked to:
Azure
bare metal servers ⓘ virtual machines ⓘ |
| supportsLanguageClient |
C#
ⓘ
linked to:
C# programming language
C++ ⓘ Go ⓘ Java ⓘ Node.js ⓘ Python ⓘ Ruby ⓘ |
| targetUser | large-scale, latency-sensitive applications ⓘ |
| useCase |
IoT data
ⓘ
fraud detection ⓘ real-time analytics ⓘ recommendation systems ⓘ time-series data ⓘ user activity tracking ⓘ |
| writtenIn | C++ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ScyllaDB Description of subject: ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: ScyllaDB
linked to: ScyllaDB
linked to: ScyllaDB
linked to: ScyllaDB