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---
layout: default
body_class: landing
---
<div class="landing">
<div class="hero-wrapper">
<!-- hero -->
<section class="hero">
<div class="site-container" style="text-align: left;">
<h1>Supercharge PostgreSQL Analytics</h1><br/>
<div class="hero-install">
<!-- <a class="button install light" href="//{{ site.address }}/docs/run_vidarDB_with_docker/">Install VidarDB<i class="right-arrow white">→</i></a> -->
</div>
</div>
</section>
<!-- hero-notes -->
<section class="hero-notes">
<div class="site-container" style="align: left;">
<div class="social-wrapper">
<!-- <p class="github"><a href="//{{ site.repo }}/vidardb"><i class="icon-github-landing"></i>VidarDB Engine</a></p> -->
<p class="github"><a href="//{{ site.repo }}/PostgresForeignDataWrapper"><i class="icon-github-landing"></i>PostgreSQL Connector</a></p>
<!-- <p class="github"><a href="//{{ site.repo }}/PyVidarDB"><i class="icon-github-landing"></i>Python Client for VidarDB</a></p> -->
</div>
</div>
</section>
</div>
<!-- features -->
<div class="feature modern-stacks" style="display: none">
<div class="site-container">
<h1>How VidarDB Works?</h1>
<p>
VidarDB can do everything PostgreSQL can do, but with our technology, a polymorphic storage engine,
we make VidarDB run like a speedy antelope.
</p>
<section class="feature-content">
<article>
<h2>PostgreSQL Frontend</h2>
<p>
Because VidarDB embraces PostgreSQL ecosystem,
it uses the same terminal and driver as PostgreSQL. No need to change your code,
while all the miracles happen underneath.
</p>
<img src="/assets/images/landing/feature/1-postgres-frontend.png">
</article>
<article>
<h2>In-place Machine Learning</h2>
<p>
It is never required to dump your data from the database to your machine learning tool anymore.
VidarDB simplifies your process by running your machine learning algorithm directly in the database
via your familiar SQL.
</p>
<img src="/assets/images/landing/feature/2-vidardb-ml.png">
</article>
<article>
<h2>Blazingly Fast Querying</h2>
<p>
Unlike general operational database, VidarDB is designed for <strong>modern memory hierarchy</strong>,
with up to orders of magnitude faster in data ingestion and querying recent data.
Fresh data sit in RAM first, and will be automatically flushed to secondary memory when RAM is full.
</p>
<img src="/assets/images/landing/feature/3-vidardb-ram.png">
</article>
<article>
<h2>Responsive Data Analysis</h2>
<p>
VidarDB natively supports business intelligence. The <strong>Column Store</strong>,
an integral part of our innovative data structure, enables data analysis
extremely responsive by fetching only portion of the data.
Unlike general data warehouse, VidarDB ingests data up to orders of magnitude faster.
</p>
<img src="/assets/images/landing/feature/4-column-store.png">
</article>
</section>
</div>
</div>
<!-- features -->
<div class="feature modern-stacks">
<div class="site-container">
<h1><a href="//{{ site.address }}/docs/what_is_vidarDB/">What is VidarDB?</a></h1>
<section class="feature-content">
<article>
<h2><a href="//{{ site.address }}/docs/specification/#fast-analytics">Analyze results at supercharged speeds!</a></h2>
<p>
At an order of magnitude faster query speeds, analysts can run more complex queries to better leverage organizational data assets, or work more productively.
We have validated the speed of our patented solution using the TPC-H methodology.
</p>
<img src="/assets/images/landing/feature/2-tpch_queries.png">
</article>
<article>
<h2><a href="//{{ site.address }}/docs/specification/#fast-data-ingestion">Ingest data 70 times faster!</a></h2>
<p>
At up to 70 times the intake speeds, data can be available to the analysts in (essentially) real time. Data can produce valuable information as soon as they are collected.
We have validated the speed of our patented solution using the TPC-H methodology.
</p>
<img src="/assets/images/landing/feature/1-data_ingestion.png">
</article>
<article>
<h2><a href="//{{ site.address }}/docs/specification/#postgresql-extension">VidarDB is a PostgreSQL extension.</a></h2>
<p>
PostgreSQL is an open-source relational database system emphasizing extensibility and SQL compliance.
With billions of downloads, it is supported by a problem solving community.
VidarDB can be installed in 10 minutes as a PostgreSQL extension.
</p>
<img src="/assets/images/landing/feature/3-postgres_extension.png">
</article>
<article>
<h2>Supports all data types.</h2>
<p>
VidarDB has been developed to support all data types, including user defined types.
For example: Numeric, Date and Time, Character and String, Geospatial, Binary, Money, XML, Documents, and Tables, etc…
</p>
<img src="/assets/images/landing/feature/4-data_types.png">
</article>
<article>
<h2><a href="//{{ site.address }}/docs/specification/#efficient-use-of-resources">Makes efficient use of infrastructure.</a></h2>
<p>
Others make use of horizontal scaling (more nodes) or vertical scaling (costlier nodes) to improve analytical performance.
Our patented solution makes an order of magnitude better use of the existing infrastructure. You can scale later if you have to.
</p>
<img src="/assets/images/landing/feature/5-efficiency_infrastructure.png">
</article>
<article>
<h2><a href="//{{ site.address }}/docs/specification/#immediacy-of-data-analysis">Immediacy of data analysis.</a></h2>
<p>
Very fast data ingestion is enabled by VidarDB's FADS data structure. That speed allows more frequent data dumping from any operational databases.
Business information is closer to real time. Faster ingestion, and queries, save time and money.
</p>
<img src="/assets/images/landing/feature/6-immediacy_of_data_analysis.png">
</article>
</section>
</div>
</div>
<!-- ai-features -->
<section class="ai-feature modern-stacks" style="display: none">
<div class="site-container">
<h1>Typical Examples</h1>
<div class="column-left">
<h4 style="text-align: center;">Linear Regression</h4>
<img src="/assets/images/landing/ai-feature/linear-regression-1.png">
</div>
<div class="column-center">
<h4 style="text-align: center;">Logistic Regression</h4>
<img src="/assets/images/landing/ai-feature/logistic-regression-1.png">
</div>
<div class="column-right">
<h4 style="text-align: center;">K-Means</h4>
<img src="/assets/images/landing/ai-feature/k-means-1.png">
</div>
</div>
</section>
<!-- intro -->
<section class="intro modern-stacks" style="display: none">
<div class="site-container">
<article>
<div class="vidardb-text">
<h1>What is VidarDB?</h1>
<p>
VidarDB is an <strong>open-source</strong>, <strong>polymorphic</strong> database with lightning speed (<strong>10~100X </strong>faster)
and <strong>in-place machine learning </strong>support. No more installation, maintenance and costs of multiple data processing tools.
</p>
<img src="/assets/images/landing/vidardb-intro.png">
</div>
</article>
<article>
<div class="vidardb-video">
<video
id="my-player"
class="video-js vjs-fill vjs-16-9 vjs-paused vjs-controls-enabled vjs-workinghover vjs-v7 vjs-user-active vjs-theme-sea"
controls
preload="auto"
poster="/assets/images/landing/vidardb-video-cover.png"
data-setup='{}'>
<source src="/assets/images/landing/vidardb-intro-video.mp4" type="video/mp4"></source>
</video>
<p></p>
<a class="button outlined dark" href="//{{ site.address }}/docs/what_is_vidarDB/">Learn more<i class="right-arrow">go</i></a>
</div>
</article>
</div>
</section>
<!-- features -->
<div class="feature modern-stacks" style="display: none">
<div class="site-container">
<h1>How VidarDB Works?</h1>
<p>
VidarDB can do everything PostgreSQL can do, but with our technology, a polymorphic storage engine,
we make VidarDB run like a speedy antelope.
</p>
<section class="feature-content">
<article>
<h2>PostgreSQL Frontend</h2>
<p>
Because VidarDB embraces PostgreSQL ecosystem,
it uses the same terminal and driver as PostgreSQL. No need to change your code,
while all the miracles happen underneath.
</p>
<img src="/assets/images/landing/feature/1-postgres-frontend.png">
</article>
<article>
<h2>In-place Machine Learning</h2>
<p>
It is never required to dump your data from the database to your machine learning tool anymore.
VidarDB simplifies your process by running your machine learning algorithm directly in the database
via your familiar SQL.
</p>
<img src="/assets/images/landing/feature/2-vidardb-ml.png">
</article>
<article>
<h2>Blazingly Fast Querying</h2>
<p>
Unlike general operational database, VidarDB is designed for <strong>modern memory hierarchy</strong>,
with up to orders of magnitude faster in data ingestion and querying recent data.
Fresh data sit in RAM first, and will be automatically flushed to secondary memory when RAM is full.
</p>
<img src="/assets/images/landing/feature/3-vidardb-ram.png">
</article>
<article>
<h2>Responsive Data Analysis</h2>
<p>
VidarDB natively supports business intelligence. The <strong>Column Store</strong>,
an integral part of our innovative data structure, enables data analysis
extremely responsive by fetching only portion of the data.
Unlike general data warehouse, VidarDB ingests data up to orders of magnitude faster.
</p>
<img src="/assets/images/landing/feature/4-column-store.png">
</article>
</section>
</div>
</div>
<!-- use cases -->
<section class="explain-section modern-stacks" style="display: none">
<div class="site-container">
<h1>VidarDB Use Cases</h1>
<p></p>
<div class="half_container">
<div class="half_container_image">
<img src="/assets/images/landing/cases/1-cases-iot.png" alt="Internet of Things(IOT)">
</div>
<div class="half_container_text">
<h2>Internet of Things (IoT)</h2>
<p>
VidarDB not only ingests your sensor data super fast,
but also enables real-time data analysis and in-place machine learning
without moving your data to other tools. You can notify your customers immediately.
</p>
</div>
</div>
<div class="boxes_divider"></div>
<div class="half_container half_container_divider">
<div class="half_container_image">
<img src="/assets/images/landing/cases/2-cases-data-analysis.png" alt="Data Analysis">
</div>
<div class="half_container_text">
<h2>Data Analysis</h2>
<p>
Whether business intelligence or artificial intelligence,
VidarDB guarantees you the interactive data analysis,
and even enables you, without ETL, querying the fresh data with much more business value.
</p>
</div>
</div>
<div class="regular_divider"></div>
<div class="half_container">
<div class="half_container_image">
<img src="/assets/images/landing/cases/3-cases-app_web.png" alt="App & Web">
</div>
<div class="half_container_text">
<h2>App & Web</h2>
<p>
VidarDB lets you focus on your business logics and web interface,
because VidarDB is not only easy to use with a familiar frontend,
but also it takes care of the performance of data processing for you.
</p>
</div>
</div>
<div class="boxes_divider"></div>
<div class="half_container half_container_divider">
<div class="half_container_image">
<img src="/assets/images/landing/cases/4-cases-streaming.png" alt="Streaming">
</div>
<div class="half_container_text">
<h2>Streaming</h2>
<p>
Monitor your software system or hardware equipment with sensors?
Real-time dashboards go smoothly in VidarDB, and detecting instant accident is a piece of cake.
</p>
</div>
</div>
</div>
</section>
<!-- mailchimp signup -->
<div class="container" style="border-top:solid 1px #ccc;">
<!-- Begin Mailchimp Signup Form -->
<link href="/assets/css/horizontal-slim-10_7.css" rel="stylesheet" type="text/css">
<style type="text/css">
#mc_embed_signup{background:#fff; clear:left; font:14px Helvetica,Arial,sans-serif; width:100%;}
/* Add your own Mailchimp form style overrides in your site stylesheet or in this style block.
We recommend moving this block and the preceding CSS link to the HEAD of your HTML file. */
</style>
<div id="mc_embed_signup" style="display: none;">
<form action="https://163.us5.list-manage.com/subscribe/post?u=4e94372016af846855c8b56a0&id=6412871fc8" method="post" id="mc-embedded-subscribe-form" name="mc-embedded-subscribe-form" class="validate" target="_blank" novalidate>
<div id="mc_embed_signup_scroll">
<h1 class="no-anchor">Stay in the loop.</h1>
<p class="lead">Sign up now to get priority notifications about <em>VidarDB</em>.</p>
<br/>
<input type="email" value="" name="EMAIL" class="email" id="mce-EMAIL" placeholder="email address" required>
<!-- real people should not fill this in and expect good things - do not remove this or risk form bot signups-->
<div style="position: absolute; left: -5000px;" aria-hidden="true"><input type="text" name="b_4e94372016af846855c8b56a0_6412871fc8" tabindex="-1" value=""></div>
<div class="clear"><input type="submit" value="Subscribe" name="subscribe" id="mc-embedded-subscribe" class="button"></div>
</div>
</form>
</div>
</div>
<!-- support velocity -->
<div class="container" style="border-top:solid 1px #ccc; background:#fff;">
<div class="md-guide-feature">
<h2 class="no-anchor">Supported by</h2>
<br />
<div class="row justify-content-center align-items-center">
<div class="col-lg-3 col-md-4 col-8 mb-4">
<a href="//www.acceleratorcentre.com/programs/ac-jumpstart" style="margin-left:10px"><img style="max-width:10%" src="/assets/images/ac-jumpstart.png" alt="AC JumpStart"></a>
<a href="//velocityincubator.com/"><img style="max-width:10%" src="/assets/images/velocity.png" alt="Velocity"></a>
</div>
</div>
</div>
</div>
</div>