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The following commit(s) were added to refs/heads/dev by this push:
new 005d807f Revised the Pinot feature list (#93)
005d807f is described below
commit 005d807fe091ff2dbde3e277343c848064a770ef
Author: Tim Berglund <[email protected]>
AuthorDate: Fri Sep 22 15:41:29 2023 -0600
Revised the Pinot feature list (#93)
---
website/src/pages/index.js | 117 ++++++++++++++-------------------------------
1 file changed, 36 insertions(+), 81 deletions(-)
diff --git a/website/src/pages/index.js b/website/src/pages/index.js
index e8a4cd0f..0f4fada4 100755
--- a/website/src/pages/index.js
+++ b/website/src/pages/index.js
@@ -1,10 +1,3 @@
-// /**
-// * Copyright (c) 2017-present, Facebook, Inc.
-// *
-// * This source code is licensed under the MIT license found in the
-// * LICENSE file in the root directory of this source tree.
-// */
-
import React, { useState, useEffect } from "react";
import CodeBlock from "@theme/CodeBlock";
@@ -25,136 +18,98 @@ import PinotQuery from '@site/static/img/ingest-query.svg';
import styles from "./index.module.css";
import "./index.css";
-import AwesomeSlider from 'react-awesome-slider';
import 'react-awesome-slider/dist/styles.css';
import 'react-awesome-slider/dist/custom-animations/cube-animation.css';
-import SwiftSlider from 'react-swift-slider'
-import withAutoplay from 'react-awesome-slider/dist/autoplay'
import ReactPlayer from "react-player/youtube";
-import styled from 'styled-components'
-import Head from '@docusaurus/Head';
-const companiesData = require(`../data/companies-data.js`);
-const companiesList = companiesData.getCompaniesList();
const AnchoredH2 = Heading("h2");
-const WhoUsesPinotSEO = () => (
- <Head>
- <meta property="og:description" content="Who used Apache Pinot?" />
- <meta property="og:description" content="Who used Pinot?" />
- <meta property="og:description" content="Companies using Pinot?" />
- <meta property="og:description" content="Companies using Apache Pinot?" />
- <meta charSet="utf-8" />
- <title>Who used Apache Pinot?</title>
- <link rel="canonical" href="http://mysite.com/example"; />
- </Head>
-);
const features = [
{
- title: "Blazing Fast",
+ title: "Fast queries",
icon: "zap",
description: (
<>
- Pinot is designed to answer OLAP queries with low latency on
- immutable data and mutable data(Upsert Support)
+ Pinot can filter and aggregate petabyte data sets with P90
latencies in the tens of milliseconds—fast enough to return live results
interactively in the UI.
</>
),
},
{
- title: "Pluggable indexing",
- icon: "unlock",
+ title: "High concurrency",
+ icon: "cpu",
description: (
<>
- Pluggable indexing technologies - Sorted Index, Bitmap Index,
- Inverted Index, StarTree Index, Bloom Filter, Range Index,
- Text Search Index(Lucence/FST), Json Index, Geospatial Index
+ With user-facing applications querying Pinot directly, it can
serve hundreds of thousands of concurrent queries per second.
</>
),
},
{
- title: "Near Real time ingestion",
- icon: "rss",
+ title: "Batch and streaming ingest",
+ icon: "corner-down-right",
description: (
<>
- Near Realtime ingestion with
- {" "}<Link to="https://kafka.apache.org/";>Apache Kafka</Link>,
- {" "}<Link to="https://pulsar.apache.org/";>Apache
Pulsar</Link>,
- {" "}<Link to="https://aws.amazon.com/kinesis/";>Kinesis</Link>
- supports {" "}<Link to="https://www.json.org/";>JSON</Link>,
- {" "}<Link to="https://avro.apache.org/";>Avro</Link>,
- {" "}<Link
to="https://developers.google.com/protocol-buffers/";>ProtoBuf</Link>,
- {" "}<Link to="https://thrift.apache.org/";>Thrift</Link>
formats
+ Ingest from <Link to="https://kafka.apache.org/";>Apache
Kafka</Link>, <Link to="https://pulsar.apache.org/";>Apache Pulsar</Link>, and
<Link to="https://aws.amazon.com/kinesis/";>AWS Kinesis</Link> in real time.
Batch ingest from Hadoop, Spark, AWS S3, and more. Combine batch and streaming
sources into a single table for querying.
</>
),
},
{
- title: "Horizontally scalable",
- icon: "code",
- description: <>Horizontally scalable and fault tolerant</>,
- },
- {
- title: "JOINS in Pinot",
- icon: "shuffle",
+ title: "Upserts",
+ icon: "arrow-up",
description: (
<>
- Apache Pinot supports dimension{" "}
- <Link
to="https://docs.pinot.apache.org/users/user-guide-query/lookup-udf-join";>lookup
joins</Link> currently.{" "}
- <Link to="https://github.com/apache/pinot/issues/8260";>Full
SQL join</Link> support in Apache Pinot is{" "}
- <Link
to="https://startree.ai/blog/apache-pinot-native-join-support";>coming
soon.</Link>{" "}
- In the interim, full SQL joins can be performed by querying
Pinot via the{" "}
- <Link to="https://trino.io/";>Trino</Link> or{" "}
- <Link to="https://prestodb.io/";>PrestoDB</Link> connector.
+ Ingest the same record many times, but see only the latest
value at query time. Upserts are built-in and production-tested since version
0.6.
</>
),
},
+
{
- title: "SQL Query Interface",
- icon: "search",
+ title: "Versatile joins",
+ icon: "shuffle",
description: (
<>
- Apache Pinot provides <Link
to="https://docs.pinot.apache.org/users/user-guide-query/querying-pinot";>SQL
interface</Link> for querying interactively, as well as programmatically via
<Link
to="https://docs.pinot.apache.org/users/api/querying-pinot-using-standard-sql";>rest-api</Link>.
+ Perform arbitrary fact/dimension and fact/fact joins on
petabyte data sets.
</>
),
},
+
{
- title: "Hybrid tables",
- icon: "list",
+ title: "Rich indexing options",
+ icon: "layers",
description: (
<>
- Consist of of{" "}
- <Link to="http://pinot.apache.org/img/dynamic-table.png";>
- both offline and realtime table
- </Link>
- . Use realtime table only to cover segments for which offline
- data may not be available yet
+ Choose from pluggable indexes including <Link
to="https://docs.pinot.apache.org/basics/indexing/timestamp-index";>timestamp</Link>,
<Link
to="https://docs.pinot.apache.org/basics/indexing/inverted-index";>inverted</Link>,
<Link
to="https://docs.pinot.apache.org/basics/indexing/star-tree-index";>star-tree</Link>,
<Link to="https://docs.pinot.apache.org/basics/indexing/bloom-filter";>Bloom
filter</Link>, <Link
to="https://docs.pinot.apache.org/basics/indexing/range-index";>range [...]
</>
),
},
+
+ {
+ title: "Built for scale",
+ icon: "cloud",
+ description: <>
+ Pinot is horizontally scalable and fault-tolerant, adaptable to
workloads across the storage and throughput spectrum.
+ </>,
+ },
+
{
- title: "Anomaly Detection",
- icon: "bar-chart",
+ title: "SQL query interface",
+ icon: "database",
description: (
<>
- Run ML Algorithms to detect Anomalies on the data stored in
- Pinot. Use{" "}
- <Link to="https://docs.pinot.apache.org/integrations/thirdeye";>
- ThirdEye
- </Link>{" "}
- with Pinot for Anomaly Detection and Root Cause Analysis
+ The highly standard SQL query interface is accessible through
a built-in query editor and a REST API.
</>
),
},
+
{
- title: "Smart Alerts in ThirdEye",
- icon: "bell",
+ title: "Built-in multitenancy",
+ icon: "grid",
description: (
<>
- Detect the right anomalies by customizing anomaly detect flow
- and notification flow
+ Manage and secure data in isolated logical namespaces for
cloud-friendly resource management.
</>
),
- },
+ }
];
function Features({ features }) {
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![http://pinot.apache.org/img/dynamic-table.png"](http://pinot.apache.org/img/dynamic-table.png"){kind=link}