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new 90efaee899 Update website to new description
90efaee899 is described below
commit 90efaee89969b38b06c3df3fb25f4ce7fbee449b
Author: Jingsong <[email protected]>
AuthorDate: Mon Mar 4 14:44:17 2024 +0800
Update website to new description
---
main/index.html | 30 +++++++++++++++---------------
1 file changed, 15 insertions(+), 15 deletions(-)
diff --git a/main/index.html b/main/index.html
index f348d6f3a9..9fc80ad8f0 100755
--- a/main/index.html
+++ b/main/index.html
@@ -44,7 +44,7 @@ under the License.
<div class="row py-5">
<div class="col-xl-7 col-lg-9">
<h1 class="fw-bold lh-1 pb-5 hero-title" style="color:
#ffffff;">Apache Paimon™ <sup><span class="badge rounded-pill bg-primary"
style="font-size: .25em">Incubating</span></sup></h1>
- <p class="lead pb-5 fs-4" style="color: #ffffff;">Streaming data
lake platform with high-speed data ingestion, changelog tracking and efficient
real-time analytics.</p>
+ <p class="lead pb-5 fs-4" style="color: #ffffff;">A lake format
that enables building a Realtime Lakehouse Architecture with Flink and Spark
for both streaming and batch operations. Innovatively combines lake format and
LSM structure, bringing realtime streaming updates into the lake
architecture.</p>
<div class="d-grid gap-2 d-md-flex justify-content-md-start">
<a role="button" class="btn btn-info btn-lg dropdown-toggle
px-5 m-1" href="#" role="button" id="getStartedLink" data-bs-toggle="dropdown"
aria-haspopup="true" aria-expanded="false">
Get Started
@@ -83,18 +83,18 @@ under the License.
<div class="card-body">
<div class="text-center text-primary">
<h2><i class="bi bi-shuffle"></i></h2>
- <h5>Unified Batch & Streaming</h5>
+ <h5>Real-time Updates</h5>
</div>
- <div class="py-3">Batch writes and reads, streaming updates,
changelog producing, all supported.</div>
+ <div class="py-3">Primary-key table supports real-time streaming
updates of large amounts of data. Real-time query within 1 minute.</div>
</div>
</div>
<div class="card shadow col-md-10 col-lg-5 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-water"></i></h2>
- <h5>Data Lake Capabilities</h5>
+ <h2><i class="bi bi-table"></i></h2>
+ <h5>Append Table</h5>
</div>
- <div class="py-3">Low cost, high reliability, scalable metadata.
Apache Paimon™ has every advantage as a data lake storage.</div>
+ <div class="py-3">Append table (no primary-key) provides large
scale batch & streaming processing capability. Supports z-order sorting.</div>
</div>
</div>
<div class="card shadow col-md-10 col-lg-5 m-3">
@@ -109,28 +109,28 @@ under the License.
<div class="card shadow col-md-10 col-lg-5 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-clipboard2-pulse"></i></h2>
- <h5>Changelog Producing</h5>
+ <h2><i class="bi bi-calendar-event"></i></h2>
+ <h5>Data Skipping</h5>
</div>
- <div class="py-3">Apache Paimon™ can produce correct and
complete changelog from any data source, simplifying your streaming
analytics.</div>
+ <div class="py-3">Based on indexes such as minmax, filter
irrelevant files and provide high-performance queries.</div>
</div>
</div>
<div class="card shadow col-md-10 col-lg-5 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-table"></i></h2>
- <h5>Rich Table Types</h5>
+ <h2><i class="bi bi-clipboard2-pulse"></i></h2>
+ <h5>Changelog Producing</h5>
</div>
- <div class="py-3">Aside from primary-key tables, Apache
Paimon™ also supports append-only table, providing orderly streaming
reading to replace the message queue.</div>
+ <div class="py-3">Produce correct and complete changelog from
any data source in real-time, simplifying your streaming analytics.</div>
</div>
</div>
<div class="card shadow col-md-10 col-lg-5 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-grid-1x2"></i></h2>
- <h5>Schema Evolution</h5>
+ <h2><i class="bi bi-clipboard2-pulse"></i></h2>
+ <h5>Data Lake Capabilities</h5>
</div>
- <div class="py-3">Apache Paimon™ supports full schema
evolution. You can rename and reorder columns.</div>
+ <div class="py-3">Low cost, High reliability, Scalable metadata,
Time Travel and Full Schema Evolution. All advantage as a data lake
storage.</div>
</div>
</div>
</div>