Prost
RDF storage and SPARQL processing on top of Apache Spark.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Rdf2x | 35 | 4 years ago | 4 | apache-2.0 | Java | |||||
| RDF2X converts big RDF datasets to the relational database model, CSV, JSON and ElasticSearch. | ||||||||||
| Archived Sansa Query | 31 | 4 years ago | apache-2.0 | Scala | ||||||
| SANSA Query Layer | ||||||||||
| Sparqlgx | 28 | 3 years ago | 1 | other | OCaml | |||||
| Efficient Distributed Evaluation of SPARQL with Apache Spark | ||||||||||
| Spark | 18 | 12 years ago | 7 | July 16, 2012 | apache-2.0 | Java | ||||
| SPARQL client API and a high-speed protocol implementation | ||||||||||
| Spark Sparql Connector | 17 | 8 years ago | apache-2.0 | Scala | ||||||
| spark-sparql-connector | ||||||||||
| S2x | 10 | 6 years ago | 2 | apache-2.0 | Java | |||||
| S2X (SPARQL on Spark with GraphX) is a SPARQL query processor for Hadoop based on Spark GraphX. It combines graph-parallel abstraction of GraphX to implement the graph pattern matching part of SPARQL with data-parallel computation of Spark to build the results of other SPARQL operators. | ||||||||||
| S2rdf | 8 | 6 years ago | 2 | apache-2.0 | Java | |||||
| S2RDF (SPARQL on Spark for RDF) is a SPARQL query processor for Hadoop based on Spark SQL. It uses the relational interface of Spark for query execution and comes with a novel partitioning schema for RDF called ExtVP (Extended Vertical Partitioning) that is an extension of the Vertical Partitioning (VP) schema introduced by Abadi et al. ExtVP enables to exclude unnecessary data from query processing by taking into account the possible relations between tables in VP. | ||||||||||
| Sempala | 7 | 7 years ago | apache-2.0 | Java | ||||||
| Sempala is a SPARQL-over-SQL approach to provide interactive-time SPARQL query processing on Hadoop. It stores RDF data in a columnar layout (Parquet) on HDFS and uses either Impala or Spark as the execution layer on top of it. SPARQL queries are translated into Impala/Spark SQL for execution. | ||||||||||
| Prost | 5 | 4 years ago | 3 | mit | Java | |||||
| RDF storage and SPARQL processing on top of Apache Spark. | ||||||||||
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