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docs: sync benchmark tables for lance-csr 0.3.1 #69

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docs: sync benchmark tables for lance-csr 0.3.1
prrao87 Oct 27, 2026
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docs: sync benchmark tables from the mains-power runs
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104 changes: 52 additions & 52 deletions README.md
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Expand Up @@ -207,37 +207,37 @@ Over the 14 queries, lance-csr's speed relative to each engine:

| lance-csr mode | vs Neo4j | vs Kuzu | vs Ladybug |
| --- | ---: | ---: | ---: |
| In memory | 2.8× faster | 4.3× faster | 2.2× faster |
| Lazy (Lance on disk) | 1.3× faster | 2.0× faster | 0.92× (slower) |
| In memory | 3.9× faster | 6.1× faster | 3.2× faster |
| Lazy (Lance on disk) | 1.8× faster | 2.8× faster | 1.3× faster |

<!-- /bench:ic:summary -->

Mean query latency in milliseconds (lower is better, fastest per query in bold):

<!-- bench:ic:table -->

| Query | lance-csr 0.2.0, in memory | lance-csr 0.2.0, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 |
| Query | lance-csr 0.3.1, in memory | lance-csr 0.3.1, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 |
| --- | ---: | ---: | ---: | ---: | ---: |
| IC1 | 26.84 | 32.72 | 51.39 | **13.51** | n/a |
| IC2 | **2.72** | 29.38 | 44.73 | 24.97 | 15.56 |
| IC3 | **75.28** | 515.33 | 894.91 | 105.21 | 100.16 |
| IC4 | **6.42** | 14.66 | 13.05 | 29.66 | 11.83 |
| IC5 | **95.15** | 114.29 | 1,022.62 | 747.75 | 309.02 |
| IC6 | 23.76 | **23.40** | 231.25 | 1,114.76 | 234.21 |
| IC7 | 21.86 | 37.82 | **7.14** | 453.74 | 370.55 |
| IC8 | **2.16** | 3.96 | 3.00 | 73.44 | 4.95 |
| IC9 | **43.62** | 1,144.25 | 802.28 | 130.96 | 62.14 |
| IC10 | 105.03 | 143.71 | 91.68 | 74.90 | **13.69** |
| IC11 | 5.02 | 7.80 | 11.02 | 4.71 | **2.51** |
| IC12 | 151.98 | 167.25 | 133.87 | **92.26** | 133.84 |
| IC13 | 4.86 | 4.99 | **0.92** | 14.16 | 47.55 |
| IC14 | **64.43** | 65.08 | 522.56 | 1,871.19 | n/a |
| IC1 | 26.23 | 32.17 | 51.39 | **13.51** | n/a |
| IC2 | **2.74** | 26.18 | 44.73 | 24.97 | 15.56 |
| IC3 | **59.31** | 424.82 | 894.91 | 105.21 | 100.16 |
| IC4 | **5.94** | 13.44 | 13.05 | 29.66 | 11.83 |
| IC5 | **81.50** | 106.39 | 1,022.62 | 747.75 | 309.02 |
| IC6 | **24.68** | 27.14 | 231.25 | 1,114.76 | 234.21 |
| IC7 | 20.74 | 32.28 | **7.14** | 453.74 | 370.55 |
| IC8 | **2.04** | 3.06 | 3.00 | 73.44 | 4.95 |
| IC9 | **41.78** | 825.02 | 802.28 | 130.96 | 62.14 |
| IC10 | 100.21 | 136.60 | 91.68 | 74.90 | **13.69** |
| IC11 | 3.73 | 6.05 | 11.02 | 4.71 | **2.51** |
| IC12 | **19.77** | 26.75 | 133.87 | 92.26 | 133.84 |
| IC13 | 1.11 | 1.45 | **0.92** | 14.16 | 47.55 |
| IC14 | **46.80** | 47.88 | 522.56 | 1,871.19 | n/a |

<!-- /bench:ic:table -->

<!-- bench:ic:notes -->

- Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`c185123`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/c185123edd58b37b417bc4deb2fec643fdbd5e61). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`f3e63fd`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/f3e63fd2b7239a1364a864458f3e7ae07f0d833f). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.
- Ladybug 0.21.2: IC1 returned a wrong answer; IC14 failed (RuntimeError), so they are not timed.

Expand All @@ -258,53 +258,53 @@ Over the 30 queries, lance-csr's speed relative to each engine:

| lance-csr mode | vs Neo4j | vs Kuzu | vs Ladybug | vs lance-graph |
| --- | ---: | ---: | ---: | ---: |
| In memory | 3.3× faster | 3.7× faster | 2.4× faster | 4.2× faster |
| Lazy (Lance on disk) | 1.9× faster | 2.2× faster | 1.4× faster | 2.5× faster |
| In memory | 3.6× faster | 4.1× faster | 2.6× faster | 4.6× faster |
| Lazy (Lance on disk) | 2.1× faster | 2.3× faster | 1.5× faster | 2.6× faster |

<!-- /bench:q30:summary -->

Mean query latency in milliseconds (lower is better, fastest per query in bold):

<!-- bench:q30:table -->

| Query | lance-csr 0.2.0, in memory | lance-csr 0.2.0, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 | lance-graph 0.5.4 |
| Query | lance-csr 0.3.1, in memory | lance-csr 0.3.1, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 | lance-graph 0.5.4 |
| --- | ---: | ---: | ---: | ---: | ---: | ---: |
| Q1 | **0.74** | 1.18 | 1.28 | 1.73 | 1.22 | 1.30 |
| Q2 | **0.58** | 1.41 | 3.26 | 1.32 | 1.12 | 2.34 |
| Q3 | 0.69 | 0.83 | **0.66** | 1.03 | 0.79 | 1.86 |
| Q4 | 0.54 | 0.83 | 2.66 | 0.85 | **0.39** | 2.98 |
| Q5 | **0.82** | 2.24 | 2.78 | 3.44 | 4.00 | 2.04 |
| Q6 | **0.47** | 0.75 | 2.60 | 0.66 | 0.79 | 0.73 |
| Q7 | 1.09 | 1.13 | **0.43** | 27.73 | 25.11 | 15.68 |
| Q8 | **0.68** | 1.82 | 7.29 | 2.72 | 3.38 | 1.14 |
| Q9 | 0.86 | 1.38 | **0.76** | 1.73 | 1.34 | 1.89 |
| Q10 | **0.77** | 0.98 | 3.79 | 1.55 | 1.78 | 26.69 |
| Q11 | **1.59** | 1.99 | 10.28 | 7.96 | 4.63 | 3.08 |
| Q12 | **0.84** | 7.77 | 2.55 | 17.16 | 7.84 | 18.68 |
| Q13 | **0.80** | 1.06 | 6.65 | 42.66 | 5.84 | 9.62 |
| Q14 | 0.55 | 0.69 | **0.46** | 1.56 | 0.90 | 2.91 |
| Q15 | **0.56** | 0.78 | 2.37 | 2.38 | 1.16 | 3.02 |
| Q16 | **0.70** | 1.16 | 1.26 | 1.78 | 1.04 | 4.33 |
| Q17 | **0.98** | 1.44 | 3.09 | 2.62 | 1.74 | 2.30 |
| Q18 | **0.70** | 1.17 | 3.11 | 1.51 | 1.22 | 1.76 |
| Q19 | **0.98** | 1.61 | 4.86 | 11.66 | 3.43 | 19.93 |
| Q20 | **2.12** | 19.59 | 421.92 | 13.25 | 14.15 | 3.13 |
| Q21 | 0.77 | 0.94 | 0.51 | **0.44** | 0.50 | 1.46 |
| Q22 | **0.71** | 0.93 | 2.66 | 23.34 | 7.46 | 13.41 |
| Q23 | **0.74** | 1.22 | 3.13 | 1.19 | 0.79 | 2.42 |
| Q24 | **0.69** | 1.07 | 0.72 | 1.23 | 0.81 | 1.75 |
| Q25 | **0.80** | 1.24 | 2.86 | 1.45 | 1.27 | 1.47 |
| Q26 | 0.75 | 1.10 | **0.65** | 3.37 | 1.15 | 2.93 |
| Q27 | **0.87** | 1.33 | 2.22 | 17.96 | 3.71 | 24.84 |
| Q28 | **1.39** | 2.31 | 2.37 | 1.51 | 1.78 | 2.50 |
| Q29 | **0.69** | 1.03 | 2.62 | 1.02 | 0.72 | 2.96 |
| Q30 | 35.36 | 39.70 | 1,359.98 | 146.52 | 97.77 | **34.31** |
| Q1 | **0.66** | 1.13 | 1.28 | 1.73 | 1.22 | 1.30 |
| Q2 | **0.51** | 1.33 | 3.26 | 1.32 | 1.12 | 2.34 |
| Q3 | **0.62** | 0.77 | 0.66 | 1.03 | 0.79 | 1.86 |
| Q4 | 0.48 | 0.75 | 2.66 | 0.85 | **0.39** | 2.98 |
| Q5 | **0.77** | 2.23 | 2.78 | 3.44 | 4.00 | 2.04 |
| Q6 | **0.41** | 0.71 | 2.60 | 0.66 | 0.79 | 0.73 |
| Q7 | 0.98 | 1.05 | **0.43** | 27.73 | 25.11 | 15.68 |
| Q8 | **0.61** | 1.75 | 7.29 | 2.72 | 3.38 | 1.14 |
| Q9 | 0.81 | 1.32 | **0.76** | 1.73 | 1.34 | 1.89 |
| Q10 | **0.70** | 0.91 | 3.79 | 1.55 | 1.78 | 26.69 |
| Q11 | **1.47** | 1.89 | 10.28 | 7.96 | 4.63 | 3.08 |
| Q12 | **0.69** | 6.80 | 2.55 | 17.16 | 7.84 | 18.68 |
| Q13 | **0.74** | 0.99 | 6.65 | 42.66 | 5.84 | 9.62 |
| Q14 | 0.48 | 0.65 | **0.46** | 1.56 | 0.90 | 2.91 |
| Q15 | **0.51** | 0.70 | 2.37 | 2.38 | 1.16 | 3.02 |
| Q16 | **0.62** | 1.06 | 1.26 | 1.78 | 1.04 | 4.33 |
| Q17 | **0.87** | 1.37 | 3.09 | 2.62 | 1.74 | 2.30 |
| Q18 | **0.63** | 1.07 | 3.11 | 1.51 | 1.22 | 1.76 |
| Q19 | **0.90** | 1.33 | 4.86 | 11.66 | 3.43 | 19.93 |
| Q20 | **2.05** | 16.45 | 421.92 | 13.25 | 14.15 | 3.13 |
| Q21 | 0.70 | 0.79 | 0.51 | **0.44** | 0.50 | 1.46 |
| Q22 | **0.65** | 0.88 | 2.66 | 23.34 | 7.46 | 13.41 |
| Q23 | **0.66** | 1.18 | 3.13 | 1.19 | 0.79 | 2.42 |
| Q24 | **0.63** | 1.00 | 0.72 | 1.23 | 0.81 | 1.75 |
| Q25 | **0.72** | 1.13 | 2.86 | 1.45 | 1.27 | 1.47 |
| Q26 | 0.67 | 1.02 | **0.65** | 3.37 | 1.15 | 2.93 |
| Q27 | **0.80** | 1.24 | 2.22 | 17.96 | 3.71 | 24.84 |
| Q28 | **1.36** | 2.25 | 2.37 | 1.51 | 1.78 | 2.50 |
| Q29 | **0.62** | 0.97 | 2.62 | 1.02 | 0.72 | 2.96 |
| Q30 | 43.67 | 47.50 | 1,359.98 | 146.52 | 97.77 | **34.31** |

<!-- /bench:q30:table -->

<!-- bench:q30:notes -->

- Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`6260689`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/6260689aa1fba4eeb4e99958430386b2fcd13f71). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`b649bc1`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/b649bc166cb5a04a542882fc070d9c4d83507c65). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.

<!-- /bench:q30:notes -->
Expand Down
3 changes: 3 additions & 0 deletions _typos.toml
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@@ -0,0 +1,3 @@
[default]
# Git commit hashes, such as the benchmark commits pinned in docs/sync_benchmarks.py.
extend-ignore-re = ["\\b[0-9a-f]{7,40}\\b"]
104 changes: 52 additions & 52 deletions docs/benchmarks.md
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Expand Up @@ -42,37 +42,37 @@ Over the 14 queries, lance-csr's speed relative to each engine:

| lance-csr mode | vs Neo4j | vs Kuzu | vs Ladybug |
| --- | ---: | ---: | ---: |
| In memory | 2.8× faster | 4.3× faster | 2.2× faster |
| Lazy (Lance on disk) | 1.3× faster | 2.0× faster | 0.92× (slower) |
| In memory | 3.9× faster | 6.1× faster | 3.2× faster |
| Lazy (Lance on disk) | 1.8× faster | 2.8× faster | 1.3× faster |

<!-- /bench:ic:summary -->

??? info "Per-query mean latency (ms, lower is better, fastest in bold)"

<!-- bench:ic:table -->

| Query | lance-csr 0.2.0, in memory | lance-csr 0.2.0, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 |
| Query | lance-csr 0.3.1, in memory | lance-csr 0.3.1, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 |
| --- | ---: | ---: | ---: | ---: | ---: |
| IC1 | 26.84 | 32.72 | 51.39 | **13.51** | n/a |
| IC2 | **2.72** | 29.38 | 44.73 | 24.97 | 15.56 |
| IC3 | **75.28** | 515.33 | 894.91 | 105.21 | 100.16 |
| IC4 | **6.42** | 14.66 | 13.05 | 29.66 | 11.83 |
| IC5 | **95.15** | 114.29 | 1,022.62 | 747.75 | 309.02 |
| IC6 | 23.76 | **23.40** | 231.25 | 1,114.76 | 234.21 |
| IC7 | 21.86 | 37.82 | **7.14** | 453.74 | 370.55 |
| IC8 | **2.16** | 3.96 | 3.00 | 73.44 | 4.95 |
| IC9 | **43.62** | 1,144.25 | 802.28 | 130.96 | 62.14 |
| IC10 | 105.03 | 143.71 | 91.68 | 74.90 | **13.69** |
| IC11 | 5.02 | 7.80 | 11.02 | 4.71 | **2.51** |
| IC12 | 151.98 | 167.25 | 133.87 | **92.26** | 133.84 |
| IC13 | 4.86 | 4.99 | **0.92** | 14.16 | 47.55 |
| IC14 | **64.43** | 65.08 | 522.56 | 1,871.19 | n/a |
| IC1 | 26.23 | 32.17 | 51.39 | **13.51** | n/a |
| IC2 | **2.74** | 26.18 | 44.73 | 24.97 | 15.56 |
| IC3 | **59.31** | 424.82 | 894.91 | 105.21 | 100.16 |
| IC4 | **5.94** | 13.44 | 13.05 | 29.66 | 11.83 |
| IC5 | **81.50** | 106.39 | 1,022.62 | 747.75 | 309.02 |
| IC6 | **24.68** | 27.14 | 231.25 | 1,114.76 | 234.21 |
| IC7 | 20.74 | 32.28 | **7.14** | 453.74 | 370.55 |
| IC8 | **2.04** | 3.06 | 3.00 | 73.44 | 4.95 |
| IC9 | **41.78** | 825.02 | 802.28 | 130.96 | 62.14 |
| IC10 | 100.21 | 136.60 | 91.68 | 74.90 | **13.69** |
| IC11 | 3.73 | 6.05 | 11.02 | 4.71 | **2.51** |
| IC12 | **19.77** | 26.75 | 133.87 | 92.26 | 133.84 |
| IC13 | 1.11 | 1.45 | **0.92** | 14.16 | 47.55 |
| IC14 | **46.80** | 47.88 | 522.56 | 1,871.19 | n/a |

<!-- /bench:ic:table -->

<!-- bench:ic:notes -->

- Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`c185123`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/c185123edd58b37b417bc4deb2fec643fdbd5e61). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`f3e63fd`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/f3e63fd2b7239a1364a864458f3e7ae07f0d833f). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.
- Ladybug 0.21.2: IC1 returned a wrong answer; IC14 failed (RuntimeError), so they are not timed.

Expand All @@ -99,53 +99,53 @@ Over the 30 queries, lance-csr's speed relative to each engine:

| lance-csr mode | vs Neo4j | vs Kuzu | vs Ladybug | vs lance-graph |
| --- | ---: | ---: | ---: | ---: |
| In memory | 3.3× faster | 3.7× faster | 2.4× faster | 4.2× faster |
| Lazy (Lance on disk) | 1.9× faster | 2.2× faster | 1.4× faster | 2.5× faster |
| In memory | 3.6× faster | 4.1× faster | 2.6× faster | 4.6× faster |
| Lazy (Lance on disk) | 2.1× faster | 2.3× faster | 1.5× faster | 2.6× faster |

<!-- /bench:q30:summary -->

??? info "Per-query mean latency (ms, lower is better, fastest in bold)"

<!-- bench:q30:table -->

| Query | lance-csr 0.2.0, in memory | lance-csr 0.2.0, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 | lance-graph 0.5.4 |
| Query | lance-csr 0.3.1, in memory | lance-csr 0.3.1, lazy | Neo4j 2026.09.0 | Kuzu 0.11.3 | Ladybug 0.21.2 | lance-graph 0.5.4 |
| --- | ---: | ---: | ---: | ---: | ---: | ---: |
| Q1 | **0.74** | 1.18 | 1.28 | 1.73 | 1.22 | 1.30 |
| Q2 | **0.58** | 1.41 | 3.26 | 1.32 | 1.12 | 2.34 |
| Q3 | 0.69 | 0.83 | **0.66** | 1.03 | 0.79 | 1.86 |
| Q4 | 0.54 | 0.83 | 2.66 | 0.85 | **0.39** | 2.98 |
| Q5 | **0.82** | 2.24 | 2.78 | 3.44 | 4.00 | 2.04 |
| Q6 | **0.47** | 0.75 | 2.60 | 0.66 | 0.79 | 0.73 |
| Q7 | 1.09 | 1.13 | **0.43** | 27.73 | 25.11 | 15.68 |
| Q8 | **0.68** | 1.82 | 7.29 | 2.72 | 3.38 | 1.14 |
| Q9 | 0.86 | 1.38 | **0.76** | 1.73 | 1.34 | 1.89 |
| Q10 | **0.77** | 0.98 | 3.79 | 1.55 | 1.78 | 26.69 |
| Q11 | **1.59** | 1.99 | 10.28 | 7.96 | 4.63 | 3.08 |
| Q12 | **0.84** | 7.77 | 2.55 | 17.16 | 7.84 | 18.68 |
| Q13 | **0.80** | 1.06 | 6.65 | 42.66 | 5.84 | 9.62 |
| Q14 | 0.55 | 0.69 | **0.46** | 1.56 | 0.90 | 2.91 |
| Q15 | **0.56** | 0.78 | 2.37 | 2.38 | 1.16 | 3.02 |
| Q16 | **0.70** | 1.16 | 1.26 | 1.78 | 1.04 | 4.33 |
| Q17 | **0.98** | 1.44 | 3.09 | 2.62 | 1.74 | 2.30 |
| Q18 | **0.70** | 1.17 | 3.11 | 1.51 | 1.22 | 1.76 |
| Q19 | **0.98** | 1.61 | 4.86 | 11.66 | 3.43 | 19.93 |
| Q20 | **2.12** | 19.59 | 421.92 | 13.25 | 14.15 | 3.13 |
| Q21 | 0.77 | 0.94 | 0.51 | **0.44** | 0.50 | 1.46 |
| Q22 | **0.71** | 0.93 | 2.66 | 23.34 | 7.46 | 13.41 |
| Q23 | **0.74** | 1.22 | 3.13 | 1.19 | 0.79 | 2.42 |
| Q24 | **0.69** | 1.07 | 0.72 | 1.23 | 0.81 | 1.75 |
| Q25 | **0.80** | 1.24 | 2.86 | 1.45 | 1.27 | 1.47 |
| Q26 | 0.75 | 1.10 | **0.65** | 3.37 | 1.15 | 2.93 |
| Q27 | **0.87** | 1.33 | 2.22 | 17.96 | 3.71 | 24.84 |
| Q28 | **1.39** | 2.31 | 2.37 | 1.51 | 1.78 | 2.50 |
| Q29 | **0.69** | 1.03 | 2.62 | 1.02 | 0.72 | 2.96 |
| Q30 | 35.36 | 39.70 | 1,359.98 | 146.52 | 97.77 | **34.31** |
| Q1 | **0.66** | 1.13 | 1.28 | 1.73 | 1.22 | 1.30 |
| Q2 | **0.51** | 1.33 | 3.26 | 1.32 | 1.12 | 2.34 |
| Q3 | **0.62** | 0.77 | 0.66 | 1.03 | 0.79 | 1.86 |
| Q4 | 0.48 | 0.75 | 2.66 | 0.85 | **0.39** | 2.98 |
| Q5 | **0.77** | 2.23 | 2.78 | 3.44 | 4.00 | 2.04 |
| Q6 | **0.41** | 0.71 | 2.60 | 0.66 | 0.79 | 0.73 |
| Q7 | 0.98 | 1.05 | **0.43** | 27.73 | 25.11 | 15.68 |
| Q8 | **0.61** | 1.75 | 7.29 | 2.72 | 3.38 | 1.14 |
| Q9 | 0.81 | 1.32 | **0.76** | 1.73 | 1.34 | 1.89 |
| Q10 | **0.70** | 0.91 | 3.79 | 1.55 | 1.78 | 26.69 |
| Q11 | **1.47** | 1.89 | 10.28 | 7.96 | 4.63 | 3.08 |
| Q12 | **0.69** | 6.80 | 2.55 | 17.16 | 7.84 | 18.68 |
| Q13 | **0.74** | 0.99 | 6.65 | 42.66 | 5.84 | 9.62 |
| Q14 | 0.48 | 0.65 | **0.46** | 1.56 | 0.90 | 2.91 |
| Q15 | **0.51** | 0.70 | 2.37 | 2.38 | 1.16 | 3.02 |
| Q16 | **0.62** | 1.06 | 1.26 | 1.78 | 1.04 | 4.33 |
| Q17 | **0.87** | 1.37 | 3.09 | 2.62 | 1.74 | 2.30 |
| Q18 | **0.63** | 1.07 | 3.11 | 1.51 | 1.22 | 1.76 |
| Q19 | **0.90** | 1.33 | 4.86 | 11.66 | 3.43 | 19.93 |
| Q20 | **2.05** | 16.45 | 421.92 | 13.25 | 14.15 | 3.13 |
| Q21 | 0.70 | 0.79 | 0.51 | **0.44** | 0.50 | 1.46 |
| Q22 | **0.65** | 0.88 | 2.66 | 23.34 | 7.46 | 13.41 |
| Q23 | **0.66** | 1.18 | 3.13 | 1.19 | 0.79 | 2.42 |
| Q24 | **0.63** | 1.00 | 0.72 | 1.23 | 0.81 | 1.75 |
| Q25 | **0.72** | 1.13 | 2.86 | 1.45 | 1.27 | 1.47 |
| Q26 | 0.67 | 1.02 | **0.65** | 3.37 | 1.15 | 2.93 |
| Q27 | **0.80** | 1.24 | 2.22 | 17.96 | 3.71 | 24.84 |
| Q28 | **1.36** | 2.25 | 2.37 | 1.51 | 1.78 | 2.50 |
| Q29 | **0.62** | 0.97 | 2.62 | 1.02 | 0.72 | 2.96 |
| Q30 | 43.67 | 47.50 | 1,359.98 | 146.52 | 97.77 | **34.31** |

<!-- /bench:q30:table -->

<!-- bench:q30:notes -->

- Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`6260689`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/6260689aa1fba4eeb4e99958430386b2fcd13f71). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`b649bc1`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/b649bc166cb5a04a542882fc070d9c4d83507c65). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.

<!-- /bench:q30:notes -->
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