Dear all,
We are glad to announce the release of a new tool to manage HDF files. The
background of the release of this exciting tool called HDFql is as
follows:
Researchers, engineers, data managers, and students using the data format
HDF currently waste a lot of unnecessary time managing HDF files. That is
because to date, the APIs available for HDF have been highly complex. With
HDF becoming increasingly common in the big data arena, a faster and
simpler solution is needed.
Imagine being able to handle HDF files with a language as easy and
powerful as SQL. Today this becomes a reality via our release of the
freeware HDFql.
HDFql stands for "Hierarchical Data Format query language" and is the
first tool that enables users to manage HDF files through a high-level
language. Not only that, HDFql allows users to both read and write HDF
files across a variety of operating systems and programming languages
(Windows, Linux, OS X; C/C++, Java, Python, C#).
HDFql was designed to be simple to use and similar to SQL, thus
dramatically reducing users' learning effort and time needed to manage HDF
files.
For illustrative examples and to download HDFql for free, visit
http://www.hdfql.com.
Dear all,
Big thanks for the encouraging feedback for HDFql! We are happy to announce the
release of HDFql 1.1.0.
This version includes:
- New "ENABLE CACHE" operation (users can now configure cache per file or dataset)
- New "SHOW CACHE" operation (users can now view cache configuration per file or
dataset)
- Support for Microsoft Visual Studio 2013
- Updated reference manual
- (For more details, please check the release notes at
http://www.hdfql.com/resources/RELEASE.txt)
What's next? HDFql 1.2.0 will be released soon - expect the following goodies:
- Support of extendible datasets
- Support of compound datatypes
- Support of enumeration datatypes
- Support for Microsoft Visual Studio 2015
In the meantime, we hope you enjoy managing HDF data simpler, cleaner, and faster
with HDFql 1.1.0!
ยทยทยท
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HDFql stands for "Hierarchical Data Format query language" and is the first tool
that enables users to manage HDF files through a high-level language. HDFql allows
users to both read and write HDF files across a variety of operating systems and
programming languages (Windows, Linux, OS X; C/C++, Java, Python, C#). Designed to
be simple to use and similar to SQL, HDFql dramatically reduces users' learning
effort and time needed to manage HDF files. / hdfql.com
