Soufflé Datalog engine
E938555
Datalog compiler
logic programming system
open-source software
program analysis tool
static analysis framework
Soufflé Datalog engine is a high-performance, open-source Datalog compiler and analysis framework widely used for static program analysis and other logic-based data processing tasks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Soufflé Datalog engine canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T11630867 — 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: Soufflé Datalog engine Context triple: [Bernhard Scholz, knownFor, Soufflé Datalog engine]
-
A.
DLV
DLV is the commonly used abbreviation for the German Athletics Association, the national governing body for athletics in Germany.
-
B.
Practical Aspects of Declarative Languages
Practical Aspects of Declarative Languages is an academic conference focused on the practical implementation, application, and evaluation of declarative programming languages and related technologies.
-
C.
SPICE in-memory engine
SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
-
D.
INGRES relational database system
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
E.
BlazingSQL
BlazingSQL is an open-source SQL engine that enables GPU-accelerated data processing and analytics, often used within the NVIDIA RAPIDS ecosystem for high-performance query execution on large datasets.
- 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: Soufflé Datalog engine Target entity description: Soufflé Datalog engine is a high-performance, open-source Datalog compiler and analysis framework widely used for static program analysis and other logic-based data processing tasks.
-
A.
DLV
DLV is the commonly used abbreviation for the German Athletics Association, the national governing body for athletics in Germany.
-
B.
Practical Aspects of Declarative Languages
Practical Aspects of Declarative Languages is an academic conference focused on the practical implementation, application, and evaluation of declarative programming languages and related technologies.
-
C.
SPICE in-memory engine
SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
-
D.
INGRES relational database system
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
E.
BlazingSQL
BlazingSQL is an open-source SQL engine that enables GPU-accelerated data processing and analytics, often used within the NVIDIA RAPIDS ecosystem for high-performance query execution on large datasets.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Datalog compiler
ⓘ
logic programming system ⓘ open-source software ⓘ program analysis tool ⓘ static analysis framework ⓘ |
| designGoal |
expressive Datalog extensions
ⓘ
high performance on large datasets ⓘ scalability ⓘ |
| domain |
compiler analysis
ⓘ
data mining ⓘ program analysis ⓘ security analysis ⓘ |
| feature |
ahead-of-time compilation to C++
ⓘ
command-line interface ⓘ high-performance Datalog compilation ⓘ incremental evaluation support ⓘ relational data model ⓘ support for I/O via CSV and other formats ⓘ support for aggregates in Datalog ⓘ support for facts and rules in Datalog ⓘ support for large-scale analyses ⓘ support for parallel evaluation ⓘ support for profiling and performance analysis ⓘ support for provenance (explanations) ⓘ support for records and algebraic data types ⓘ |
| inputFormat | Datalog source files ⓘ |
| isOpenSource | true ⓘ |
| license | University of Illinois/NCSA Open Source License ⓘ |
| maintainedBy | Soufflé open-source community ⓘ |
| name | Soufflé ⓘ |
| outputFormat |
generated C++ code
ⓘ
relational data files ⓘ |
| primaryUse |
logic-based data processing
ⓘ
static program analysis ⓘ |
| programmingLanguage | C++ ⓘ |
| sourceCodeRepository | https://github.com/souffle-lang/souffle ⓘ |
| supportsLanguage | Datalog ⓘ |
| supportsPlatform |
Linux
ⓘ
Windows (via WSL or ports) ⓘ
linked to:
Windows (via ports such as MinGW and Cygwin)
macOS ⓘ |
| usedBy |
academia
ⓘ
industry ⓘ researchers in programming languages ⓘ static analysis tool developers ⓘ |
| usedFor |
alias analysis
ⓘ
constraint solving over relations ⓘ control-flow analysis ⓘ data-flow analysis ⓘ points-to analysis ⓘ |
| website | https://souffle-lang.github.io ⓘ |
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: Soufflé Datalog engine Description of subject: Soufflé Datalog engine is a high-performance, open-source Datalog compiler and analysis framework widely used for static program analysis and other logic-based data processing tasks.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.