diff --git a/_data/capability-matrix.yml b/_data/capability-matrix.yml
index 785854a1bf0e9..f34527d8b653b 100644
--- a/_data/capability-matrix.yml
+++ b/_data/capability-matrix.yml
@@ -249,8 +249,8 @@ categories:
l2: supported
l3: ''
- class: spark
- l1: 'No'
- l2: ''
+ l1: 'Partially'
+ l2: currently only supported in batch
l3: ''
- name: Session windows
diff --git a/_pages/capability-matrix.md b/_pages/capability-matrix.md
index f1b4b0512adb4..359164d1933fb 100644
--- a/_pages/capability-matrix.md
+++ b/_pages/capability-matrix.md
@@ -4,7 +4,9 @@ title: "Apache Beam Capability Matrix"
permalink: /capability-matrix/
---
+
# Apache Beam Capability Matrix
+Last updated: {{ site.time | date: '%Y-%m-%d %H:%M %Z' }}
Apache Beam (incubating) provides a portable API layer for building sophisticated data-parallel processing engines that may be executed across a diversity of exeuction engines, or runners. The core concepts of this layer are based upon the Beam Model (formerly referred to as the [Dataflow Model](http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf)), and implemented to varying degrees in each Beam runner. To help clarify the capabilities of individual runners, we've created the capability matrix below.
@@ -22,12 +24,14 @@ Note that in the future, we intend to add additional tables beyond the current s
{% include capability-matrix-common.md %}
{% assign cap-data=site.data.capability-matrix %}
+
+
{% assign cap-style='cap-summary' %}
{% assign cap-view='summary' %}
{% assign cap-other-view='full' %}
{% assign cap-toggle-details=1 %}
-{% assign cap-display='none' %}
+{% assign cap-display='block' %}
{% include capability-matrix.md %}
@@ -36,6 +40,7 @@ Note that in the future, we intend to add additional tables beyond the current s
{% assign cap-view='full' %}
{% assign cap-other-view='summary' %}
{% assign cap-toggle-details=0 %}
-{% assign cap-display='block' %}
+{% assign cap-display='none' %}
{% include capability-matrix.md %}
+
Apache Beam (incubating) provides a portable API layer for building sophisticated data-parallel processing engines that may be executed across a diversity of exeuction engines, or runners. The core concepts of this layer are based upon the Beam Model (formerly referred to as the Dataflow Model), and implemented to varying degrees in each Beam runner. To help clarify the capabilities of individual runners, we’ve created the capability matrix below.