LevelDB
E717513
LevelDB is a fast, lightweight, open-source key–value storage library developed by Google, designed for high-performance reads and writes using a log-structured merge-tree architecture.
All labels observed (2)
| Label | Occurrences |
|---|---|
| LevelDB canonical | 4 |
| LevelDB key-value store | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8151862 — 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: LevelDB Context triple: [RocksDB, basedOn, LevelDB]
-
A.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
-
B.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
C.
LSM
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
D.
Indexed Database API
The Indexed Database API is a low-level web browser API that enables client-side storage of significant amounts of structured data, including files and blobs, with powerful indexing and querying capabilities.
-
E.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
- 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: LevelDB Target entity description: LevelDB is a fast, lightweight, open-source key–value storage library developed by Google, designed for high-performance reads and writes using a log-structured merge-tree architecture.
-
A.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
-
B.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
C.
LSM
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
D.
Indexed Database API
The Indexed Database API is a low-level web browser API that enables client-side storage of significant amounts of structured data, including files and blobs, with powerful indexing and querying capabilities.
-
E.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
embedded database
ⓘ
key–value storage library ⓘ log-structured merge-tree database ⓘ |
| dataOrdering | lexicographical order of keys ⓘ |
| defaultCompression | Snappy NERFINISHED ⓘ |
| designGoal |
embeddable in applications
ⓘ
high read performance ⓘ high write throughput ⓘ lightweight library ⓘ |
| developer | Google ⓘ |
| doesNotSupport |
SQL
NERFINISHED
ⓘ
concurrent writes from multiple processes to the same database ⓘ network access ⓘ relational data model ⓘ |
| feature |
SSTable files
ⓘ
checksums for data integrity ⓘ compaction ⓘ configurable block size ⓘ configurable cache size ⓘ memtable ⓘ write-ahead log ⓘ |
| inspired |
HyperLevelDB
NERFINISHED
ⓘ
RocksDB NERFINISHED ⓘ |
| license |
BSD-style license
ⓘ
New BSD License NERFINISHED ⓘ |
| openSource | true ⓘ |
| operatingSystem | cross-platform ⓘ |
| programmingLanguage | C++ ⓘ |
| provides |
C bindings via third-party wrappers
ⓘ
C++ API ⓘ |
| repository | https://github.com/google/leveldb ⓘ |
| sourceModel | open source ⓘ |
| storageEngine | log-structured merge-tree ⓘ |
| supports |
Linux
NERFINISHED
ⓘ
Windows NERFINISHED ⓘ arbitrary byte arrays as keys ⓘ arbitrary byte arrays as values ⓘ backward iteration ⓘ batch writes ⓘ compression ⓘ forward iteration ⓘ key–value data model ⓘ macOS NERFINISHED ⓘ ordered mapping from string keys to string values ⓘ range scans ⓘ snapshots ⓘ |
| usedBy |
Apache Cassandra (as an option in some components)
NERFINISHED
ⓘ
Bitcoin Core NERFINISHED ⓘ Google Chrome NERFINISHED ⓘ HyperLevelDB (as a fork) NERFINISHED ⓘ Riak (as a backend option) NERFINISHED ⓘ |
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: LevelDB Description of subject: LevelDB is a fast, lightweight, open-source key–value storage library developed by Google, designed for high-performance reads and writes using a log-structured merge-tree architecture.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
LevelDB key-value store