The LDBC SNB Interactive workload captures a 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 datasets can be generated using the LDBC SNB Hadoop Datagen and are available for download in the CWI/SURF data repository. The other SNB workload, Business Intelligence (BI) complements the Interactive workload by focusing on analytical query processing.
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 driver is available in the ldbc_snb_interactive_v1_driver GitHub repository and the reference implementations are available in the ldbc_snb_interactive_v1_impls repository.
The tables below contains 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).
| Date | System | SF | Test sponsor | Performance | Perf. per USD |
|---|---|---|---|---|---|
| 2025-04-21 | GraphScope Flex | 30 | Alibaba Cloud | 37,650.00 | 339.97 |
| 2025-04-21 | GraphScope Flex | 100 | Alibaba Cloud | 79,244.18 | 715.55 |
| 2025-04-21 | GraphScope Flex | 300 | Alibaba Cloud | 80,510.79 | 726.99 |
| 2024-05-14 | GraphScope Flex | 100 | Alibaba Cloud | 130,098.36 | 1,273.87 |
| 2024-05-14 | GraphScope Flex | 300 | Alibaba Cloud | 131,263.87 | 1,285.29 |
| 2024-05-14 | GraphScope Flex | 1000 | Alibaba Cloud | 127,784.51 | 1,251.22 |
| 2023-12-25 | AtlasGraph | 30 | StarGraph | 37,631.25 | 132.13 |
| 2023-12-25 | AtlasGraph | 100 | StarGraph | 48,764.08 | 171.22 |
| 2023-12-25 | AtlasGraph | 300 | StarGraph | 48,311.63 | 169.64 |
| 2023-07-13 | GraphScope Flex | 30 | Alibaba DAMO Academy | 33,180.87 | 334.36 |
| 2023-07-13 | GraphScope Flex | 100 | Alibaba DAMO Academy | 33,625.36 | 338.84 |
| 2023-07-13 | GraphScope Flex | 300 | Alibaba DAMO Academy | 33,261.38 | 335.18 |
| 2023-01-31 | GraphDB | 30 | Ontotext | 3.04 | 0.01 |
| 2023-01-31 | GraphDB | 30 | Ontotext | 6.76 | 0.03 |
| 2023-01-31 | GraphDB | 30 | Ontotext | 12.16 | 0.06 |
| 2022-08-16 | TuGraph | 30 | Ant Group | 12,252.50 | 42.08 |
| 2022-08-16 | TuGraph | 100 | Ant Group | 12,934.61 | 44.42 |
| 2022-08-16 | TuGraph | 300 | Ant Group | 12,721.24 | 43.69 |
| 2022-05-16 | Galaxybase | 30 | CreateLink | 9,285.86 | 35.27 |
| 2022-05-16 | Galaxybase | 100 | CreateLink | 8,501.21 | 32.29 |
| 2022-05-16 | Galaxybase | 300 | CreateLink | 8,370.52 | 31.79 |
| 2020-07-26 | TuGraph | 30 | FMA | 5,436.47 | 19.37 |
| 2020-07-26 | TuGraph | 100 | FMA | 5,010.77 | 17.85 |
| 2020-07-26 | TuGraph | 300 | FMA | 4,855.52 | 17.3 |
| 2023-01-28 | TuGraph | 30 | Ant Group | 16,133.08 | 394.37 |
| 2023-01-28 | TuGraph | 100 | Ant Group | 16,966.26 | 414.74 |
| 2023-01-28 | TuGraph | 300 | Ant Group | 13,532.62 | 330.8 |
| 2024-09-16 | Graph Engine Service | 30 | Huawei Cloud | 37,775.91 | 86.28 |
| 2024-09-16 | Graph Engine Service | 100 | Huawei Cloud | 45,432.22 | 103.76 |
| 2024-09-16 | Graph Engine Service | 300 | Huawei Cloud | 40,347.04 | 92.15 |