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new 76adfa252 docs: Update benchmark results (#4300)
76adfa252 is described below
commit 76adfa252df0d989b187df13418ac5b716e816ba
Author: Andy Grove <[email protected]>
AuthorDate: Tue May 12 10:51:30 2026 -0600
docs: Update benchmark results (#4300)
---
README.md | 8 ++++----
.../0.16.0/tpch_allqueries_with_tuned.png | Bin 0 -> 25345 bytes
docs/source/about/gluten_comparison.md | 2 +-
.../source/contributor-guide/benchmark-results/tpc-h.md | 2 +-
docs/source/index.md | 8 ++++----
5 files changed, 10 insertions(+), 10 deletions(-)
diff --git a/README.md b/README.md
index 3787a49d2..cba865d96 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ Apache DataFusion Comet is a high-performance accelerator for
Apache Spark, buil
performance of Apache Spark workloads while leveraging commodity hardware and
seamlessly integrating with the
Spark ecosystem without requiring any code changes.
-**Comet provides a 2x speedup for TPC-H @ 1TB, resulting in 50% cost savings.**
+**Comet provides a ~2x speedup for TPC-DS @ SF 1000 (1TB), resulting in ~50%
cost savings.**
That 2x speedup gives you a choice: finish the same Spark workload in half the
time on the cluster you already have,
or match your current Spark performance on roughly half the resources. Either
way, the gain translates directly into
@@ -48,9 +48,9 @@ lower cloud bills, reduced on-prem capacity, and lower energy
usage, with no cha
DataFrame, or PySpark code. Comet runs on commodity hardware: no GPUs, FPGAs,
or other specialized accelerators are
required, so the savings come from better utilization of the infrastructure
you already run on.
-
+
-
+
See the [Comet Benchmarking
Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html)
for more details.
@@ -81,7 +81,7 @@ benefits of Comet's acceleration capabilities without
disrupting your Spark appl
## Getting Started
-Comet supports Apache Spark 3.4, 3.5, and 4.0, and provides experimental
support for Spark 4.1 and 4.2. See the
+Comet supports Apache Spark 3.4, 3.5, 4.0, and 4.1, and provides experimental
support for Spark 4.2. See the
[installation
guide](https://datafusion.apache.org/comet/user-guide/installation.html) for
the detailed
version, Java, and Scala compatibility matrix.
diff --git
a/docs/source/_static/images/benchmark-results/0.16.0/tpch_allqueries_with_tuned.png
b/docs/source/_static/images/benchmark-results/0.16.0/tpch_allqueries_with_tuned.png
new file mode 100644
index 000000000..96177b092
Binary files /dev/null and
b/docs/source/_static/images/benchmark-results/0.16.0/tpch_allqueries_with_tuned.png
differ
diff --git a/docs/source/about/gluten_comparison.md
b/docs/source/about/gluten_comparison.md
index c7807eabc..3e59feffb 100644
--- a/docs/source/about/gluten_comparison.md
+++ b/docs/source/about/gluten_comparison.md
@@ -24,7 +24,7 @@ between them. This document is likely biased because the
Comet community maintai
We recommend trying out both Comet and Gluten to see which is the best fit for
your needs.
-This document is based on Comet 0.15.0 and Gluten 1.6.0.
+This document is based on Comet 0.16.0 and Gluten 1.6.0.
## Architecture
diff --git a/docs/source/contributor-guide/benchmark-results/tpc-h.md
b/docs/source/contributor-guide/benchmark-results/tpc-h.md
index 5a3ca2141..c489f8c99 100644
--- a/docs/source/contributor-guide/benchmark-results/tpc-h.md
+++ b/docs/source/contributor-guide/benchmark-results/tpc-h.md
@@ -25,7 +25,7 @@ The following benchmarks were performed on an EKS cluster
(`r6i.24xlarge` instan
Total time to run all queries (lower is better).
-
+
The following charts are based on the tuned run using hash join.
diff --git a/docs/source/index.md b/docs/source/index.md
index ba421a603..7424cffcc 100644
--- a/docs/source/index.md
+++ b/docs/source/index.md
@@ -40,14 +40,14 @@ Comet also accelerates Apache Iceberg, when performing
Parquet scans from Spark.
Comet delivers a performance speedup for many queries, enabling faster data
processing and shorter time-to-insights.
-The following charts demonstrate Comet accelerating TPC-H @ 1 TB. See the
[Comet Benchmarking
Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html)
+The following charts demonstrate Comet accelerating TPC-DS @ 1 TB. See the
[Comet Benchmarking
Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html)
for details.
-
+
-Here is a breakdown showing relative performance of Spark and Comet for each
TPC-H query.
+Here is a breakdown showing relative speedup for each TPC-DS query.
-
+
## Use Commodity Hardware
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