Sort Libraries for Application Programmers: CoSort Runtime Routines

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Big Data Needs a Big Engine

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Integrate Fast Transforms, Reporting and Security

Want a faster sort engine?

Every computer science curriculum covers sort routines, so you know what they are. Traditional sorting operations are non-linear; as the data doubles, the process of putting that data in order triples. So as as your volumes increase, what ran quickly last month now seems to take longer and longer to finish. If production windows are starting to close, you will want to consider an alternative.

If you think all commercial sorting engines are the same, know that IRI's CoSort has been consistently reported to be the fastest engine for large production data sets on Unix platforms. And beyond speed and scalability are the many additional manipulations you can perform (see below).

Call and askhow affordable, easy, and reliable embedding a perpetual-use CoSort library can be across the Unix, Linux and Windows platforms you support.

There could be a lot more under your hood, too.

As you can see throughout this web site, CoSort is about rapid production of big data. CoSort's SortCL program can, in multiple steps - or all at once - provide high volume:
    • Data Transformation (sort, join, aggregate, PCRE, etc.)
    • Reporting (batch, delta, detail and summary outputs)
    • Protection (field-level encryption, masking, de-ID, etc.)
    • Conversion (of both file formats and data types)

If you call the thread-safe sortcl_routine(api) library, your applications can do all this too, in the same I/O pass. From sorting to summing, and reporting to encryption, you can quickly power your applications with thread-safe SortCL invocations.

CoSort has been successfully integrated and made available for wider distribution by AMS, CA, Cincom, Experian, Fiserv, Kalido, Mereo, Sabre, SAS, SPSS, and Unisys, to name a few. To incorporate any or all of these functions into your product development or application environment, please call us now.

Do you need safe, intelligent test data?

If you develop applications and need to stress test them with the right range of (relational, accurate) safely randomized test data, check out the RowGen test data tool. RowGen is ideal for prototyping and validating applications, and uses common data models and file layouts. What's more, RowGen and SortCL use the same metadata, so if you've learned one, you know the other.

IRI, The CoSort Company