ldbc_snb_datagen_hadoop
ldbc_snb_datagen_spark
ldbc_snb_datagen_hadoop | ldbc_snb_datagen_spark | |
---|---|---|
1 | 5 | |
12 | 166 | |
- | 2.4% | |
5.8 | 3.7 | |
9 months ago | 22 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ldbc_snb_datagen_hadoop
-
How to Perform Load Testing against Nebula Graph with K6
cd nebula-bench sudo yum install -y git \ make \ file \ libev \ libev-devel \ gcc \ wget \ python3 \ python3-devel \ java-1.8.0-openjdk \ maven pip3 install --user -r requirements.txt # Using `snb.interactive.1` parameter in ldbc_snb_datagen_hadoop, for more infor https://github.com/ldbc/ldbc_snb_datagen_hadoop/wiki/Configuration python3 run.py data # Date generated by mv mv target/data/test_data/ ./sf1
ldbc_snb_datagen_spark
-
Benchgraph Backstory: The Untapped Potential
Because of the size, complexity, and feedback from the community, we decided to add a larger dataset. So the next dataset should be large, more complex, and recognizable. The choice was easy here; the industry-leading benchmark group Linked Data Benchmark Council (LDBC), which Memgraph is a part of, has open-sourced the datasets for benchmarking. The exact dataset is the social network dataset. It is a synthetically generated dataset representing a social network. It is being used in LDBC audited benchmarks, SNB interactive, and SNB Buissines intelligence benchmarks. Keep in mind that this is NOT an official implementation of an LDBC benchmark, the open-source dataset is being used as a basis for benchmarks, and it will be used for our in-house testing process and improving Memgraph.
-
Postgres: The Graph Database You Didn't Know You Had
I designed and maintain several graph benchmarks in the Linked Data Benchmark Council, including workloads aimed for databases [1]. We make no restrictions on implementations, they can any query language like Cypher, SQL, etc.
In our last benchmark aimed at analytical systems [2], we found that SQL queries using WITH RECURSIVE can work for expressing reachability and even weighted shortest path queries. However, formulating an efficient algorithm yields very complex SQL queries [3] and their execution requires a system with a sophisticated optimizer such as Umbra developed at TU Munich [4]. Industry SQL systems are not yet at this level but they may attain that sometime in the future.
Another direction to include graph queries in SQL is the upcoming SQL/PGQ (Property Graph Queries) extension. I'm involved in a project at CWI Amsterdam to incorporate this language into DuckDB [5].
[1] https://ldbcouncil.org/benchmarks/snb/
[2] https://www.vldb.org/pvldb/vol16/p877-szarnyas.pdf
[3] https://github.com/ldbc/ldbc_snb_bi/blob/main/umbra/queries/...
[4] https://umbra-db.com/
[5] https://www.cidrdb.org/cidr2023/slides/p66-wolde-slides.pdf
- Bullshit Graph Database Performance Benchmarks
-
From Data Preprocessing to Using Graph Database
Pull the source code from https://github.com/ldbc/ldbc_snb_datagen/tree/stable.To generate data for scale factor 1-1000, use the stable branch.
What are some alternatives?
NebulaGraph-Bench - Collection of benchmark services and tools for NebulaGraph
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
nebula-importer - Nebula Graph Importer with Go
ldbc_snb_bi - Reference implementations for the LDBC Social Network Benchmark's Business Intelligence (BI) workload
k6-plugin
benchgraph
nebula-ansible
arcadedb - ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
ldbc_snb_interactive_v1_impls - Reference implementations for LDBC Social Network Benchmark's Interactive workload.
simple-graph - This is a simple graph database in SQLite, inspired by "SQLite as a document database"
nebula-docker-compose - Docker compose for Nebula Graph
ustore - Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️