The LDBC SNB Interactive workload captures transactional graph processing scenario with complex read queries that access the neighbourhood of a given node in the graph and update operations that continuously insert new data in the graph. Its data sets are available in the CWI/SURF data repository.
The workload produces the throughput metric to characterize the performance at the given scale. The full disclosure reports (FDRs) further detail the performance of the system under test by listing the data loading time and single query execution times.
For an overview of the workload, see the SIGMOD 2015 paper and the 2024 presentation by Gábor Szárnyas. For a detailed specification, see the LDBC Social Network Benchmark specification.
The tables below contain audited results. Note that the system cost indicates the 3-year TCO (total cost of ownership), which is the sum of the license, hardware, and maintenance costs (where maintenance means 24/7 support with a response time of less than 4 hours).
Audited results using a declarative query language
Benchmark setup | SF | Hardware | Performance | Performance (price-adj.) |
Documents |
---|---|---|---|---|---|
|
30 | Huawei Cloud ac8.48xlarge.4 96×AMD 2.4GHz vCPUs, 768GiB RAM |
37,775.91 ops/s | 86.278 | |
100 | Huawei Cloud ac8.48xlarge.4 96×AMD 2.4GHz vCPUs, 768GiB RAM |
45,432.22 ops/s | 103.764 | ||
300 | Huawei Cloud ac8.48xlarge.4 96×AMD 2.4GHz vCPUs, 768GiB RAM |
40,347.04 ops/s | 92.15 | ||
|
30 | AWS r6id.8xlarge 32×Intel Xeon Platinum 8375C vCPUs, 256GiB RAM, 1R/1W thread |
3.04 ops/s | 0.014 | |
30 | AWS r6id.8xlarge 32×Intel Xeon Platinum 8375C vCPUs, 256GiB RAM, 2R/2W threads |
6.76 ops/s | 0.031 | ||
30 | AWS r6id.8xlarge 32×Intel Xeon Platinum 8375C vCPUs, 256GiB RAM, 4R/4W threads |
12.16 ops/s | 0.056 |
Audited results using an imperative language
Benchmark setup | SF | Hardware | Performance | Performance (price-adj.) |
Documents |
---|---|---|---|---|---|
|
100 | Alibaba Cloud ecs.r8a.16xlarge 64×AMD EPYC 9T24 @ 3.7GHz vCPUs, 512GiB RAM |
130,098.36 ops/s | 1,273.873 | |
300 | Alibaba Cloud ecs.r8a.16xlarge 64×AMD EPYC 9T24 @ 3.7GHz vCPUs, 512GiB RAM |
131,263.87 ops/s | 1,285.285 | ||
1000 | Alibaba Cloud ecs.r8a.16xlarge 64×AMD EPYC 9T24 @ 3.7GHz vCPUs, 512GiB RAM |
127,784.51 ops/s | 1,251.216 | ||
|
30 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 384GiB RAM |
37,631.25 ops/s | 132.133 | |
100 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 384GiB RAM |
48,764.08 ops/s | 171.223 | ||
300 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 384GiB RAM |
48,311.63 ops/s | 169.635 | ||
|
30 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8175M vCPUs, 384GiB RAM |
33,180.87 ops/s | 334.363 | |
100 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8175M vCPUs, 384GiB RAM |
33,625.36 ops/s | 338.842 | ||
300 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8175M vCPUs, 384GiB RAM |
33,261.38 ops/s | 335.175 | ||
|
30 | Alibaba Cloud ecs.g8y.16xlarge 64×Arm-based YiTian 710 vCPUs, 256GiB RAM |
16,133.08 ops/s | 394.372 | |
100 | Alibaba Cloud ecs.g8y.16xlarge 64×Arm-based YiTian 710 vCPUs, 256GiB RAM |
16,966.26 ops/s | 414.739 | ||
300 | Alibaba Cloud ecs.g8y.16xlarge 64×Arm-based YiTian 710 vCPUs, 256GiB RAM |
13,532.62 ops/s | 330.804 | ||
|
30 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 384GiB RAM |
12,252.50 ops/s | 42.079 | |
100 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 384GiB RAM |
12,934.61 ops/s | 44.422 | ||
300 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 384GiB RAM |
12,721.24 ops/s | 43.689 | ||
|
30 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 372GB RAM |
9,285.86 ops/s | 35.27 | |
100 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 372GB RAM |
8,501.21 ops/s | 32.289 | ||
300 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8259CL vCPUs, 372GB RAM |
8,370.52 ops/s | 31.793 | ||
|
30 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8175M vCPUs, 374GB RAM |
5,436.47 ops/s | 19.37 | |
100 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8175M vCPUs, 374GB RAM |
5,010.77 ops/s | 17.854 | ||
300 | AWS r5d.12xlarge 48×Intel Xeon Platinum 8175M vCPUs, 374GB RAM |
4,855.52 ops/s | 17.301 |
Results as a CSV file
The audited LDBC SNB Interactive results displayed above are available as a CSV file.
LDBC-certified auditors
SNB Interactive audits can be commissioned from the following LDBC-certified auditors:
- Márton Búr
- Arnau Prat-Pérez
- David Püroja
Legacy audited results
Social Network Benchmark Interactive, version 0.2.2
Future workloads
The LDBC SNB Interactive v2 workload is currently under development. See the TPCTC 2023 paper “The LDBC Social Network Benchmark Interactive Workload v2: A Transactional Graph Query Benchmark with Deep Delete Operations” and its slide deck for details.