<commit_before><html>

<head>
<title>LucidDB Home Page Main Frame</title>
<link rel="stylesheet" type="text/css" href="stylesheet.css" />
</head>

<body>

LucidDB is the first and only open-source RDBMS purpose-built entirely
for data warehousing and business intelligence.  It is based on
architectural cornerstones such as column-store, bitmap indexing, hash
join/aggregation, and page-level multiversioning.  Most database
systems (both proprietary and open-source) start life with a focus on
transaction processing capabilities, then get analytical capabilities
bolted on as an afterthought (if at all).  By contrast, every
component of LucidDB was designed with the requirements of flexible,
high-performance data integration and sophisticated query processing
in mind.  Moreover, comprehensiveness within the focused scope of its
architecture means simplicity for the user: no DBA required.

<p>

Rather than throwing hardware at data warehousing problems by relying
on expensive clusters or specialized "appliances", the scalability
offered by LucidDB's unique architecture allows you to achieve great
performance using only a single off-the-shelf Linux or Windows server.
Besides keeping costs down, this also minimizes maintenance and
administration hassles.

<p>

Still wondering why you might want to spend time trying out LucidDB
when the open-source DBMS field is already crowded with so many good
horses?  Use the navigation bar on the left to browse features,
architecture, roadmap, and other docs to find out.

<p>

<b>Project News</b>

<p>

22-Mar-2008: Release 0.7.3 is now available.  The major new feature
in this release is intelligent prefetch for all access paths;
together with improvements in data caching and asynchronous I/O, these provides
improved performance when accessing large amounts of data on disk.
<p>

23-Nov-2007: Release 0.7.2 is now available.  The major new feature
in this release is the ESTIMATE STATISTICS clause for faster
<a target="_top" 
href="http://docs.eigenbase.org/LucidDbAnalyzeTable">
ANALYZE TABLE</a>.  The TABLESAMPLE query construct is provided as
a companion feature.
<p>

18-Aug-2007: Release 0.7.1 is now available.  Major new features
include nested loop join support (used for implementing arbitrary
outer join conditions) and <a target="_top"<commit_msg>DEV/LUCIDDB:  one more doc update<commit_after><html>

<head>
<title>LucidDB Home Page Main Frame</title>
<link rel="stylesheet" type="text/css" href="stylesheet.css" />
</head>

<body>

LucidDB is the first and only open-source RDBMS purpose-built entirely
for data warehousing and business intelligence.  It is based on
architectural cornerstones such as column-store, bitmap indexing, hash
join/aggregation, and page-level multiversioning.  Most database
systems (both proprietary and open-source) start life with a focus on
transaction processing capabilities, then get analytical capabilities
bolted on as an afterthought (if at all).  By contrast, every
component of LucidDB was designed with the requirements of flexible,
high-performance data integration and sophisticated query processing
in mind.  Moreover, comprehensiveness within the focused scope of its
architecture means simplicity for the user: no DBA required.

<p>

Rather than throwing hardware at data warehousing problems by relying
on expensive clusters or specialized "appliances", the scalability
offered by LucidDB's unique architecture allows you to achieve great
performance using only a single off-the-shelf Linux or Windows server.
Besides keeping costs down, this also minimizes maintenance and
administration hassles.

<p>

Still wondering why you might want to spend time trying out LucidDB
when the open-source DBMS field is already crowded with so many good
horses?  Use the navigation bar on the left to browse features,
architecture, roadmap, and other docs to find out.

<p>

<b>Project News</b>

<p>

22-Mar-2008: Release 0.7.3 is now available.  The major new feature
in this release is intelligent prefetch for all access paths;
together with improvements in data caching and asynchronous I/O, these provides
improved performance when accessing large amounts of data on disk.
<p>

17-Dec-2007: We're looking for LucidDB users who are able to act as
references for a report on open-source data warehousing.  If you 
are using LucidDB and can share your experience, please let us know at the 
<a href="http://sourceforge.net/mail/?group_id=157599">users mailing list</a>.
<p>

23-Nov-2007: Release 0.7.2 is now available.  The major new feature
in this release is the ESTIMATE STATISTICS clause for faster
<a target="_top" 
href="http://docs.eigenbase.org/LucidDbAnalyzeTable">
ANALYZE TABLE</a>.  The TABLESAMPLE query construct is provided as
a companion feature.
<p>

18-Aug-2007: Release 0.7.1 is now available.  Major new features
include nested loop join support (used for implementing arbitrary
outer join conditions) and <a target="_top"
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