2 comments

Mark Madsen

Interesting debate, and maybe one where the granularity of the question is a problem.

You used Greenplum as an example of an OSS company. Bizgres is open source. The Greenplum database is not, so far as I can tell. I haven’t gone into the details of how they leverage Postgres without having to open the Greenplum database but it’s a question on my list for them.

I think the proper focus isn’t the company but the product. There we run into the problem of product vs. versions of the product.

I was thinking about this with regard to JasperSoft recently. They differentiated from Pentaho by having the commercially licensed and open source versions be identical. I saw something that indicates they are now backing away from this and will have a commercial version with somewhat different features.

03/01/07 @ 20:00
Comment from:

Mark,

as far as I know, Bizgres is the Greenplum database, but much as MySQL has dual-licensing, Bizgres is the free, open source version, with Greenplum founding the Bizgres project as the BI/query optimized distro of PostgreSQL, and then adding even more to it, such as MPP [similar to Oracle’s OPS] to make their commercially licensed version.

Also, it’s my understanding that Pentaho dropped their “professional” version - they went 100% open source some months ago.

I think that there will be continual grey areas while business models for open source are tested and solidified.

03/01/07 @ 22:27
June 2018
Mon Tue Wed Thu Fri Sat Sun
        1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30  
 << <   > >>

At the beginning, The Open Source Solutions Blog was a companion to the Open Source Solutions for Business Intelligence Research Project, and book. But back in 2005, we couldn't find a publisher. As Apache Hadoop and its family of open source projects proliferated, and in many ways, took over the OSS data management and analytics world, our interests became more focused on streaming data management and analytics for IoT, the architecture for people, processes and technology required to bring value from the IoT through Sensor Analytics Ecosystems, and the maturity model organizations will need to follow to achieve SAEIoT success. OSS is very important in this world too, for DMA, API and community development.

37.652951177164 -122.490877706959

Search

  XML Feeds

mindmaps

Our current thinking on sensor analytics ecosystems (SAE) bringing together critical solution spaces best addressed by Internet of Things (IoT) and advances in Data Management and Analytics (DMA) is here.

Recent Posts

powered by b2evolution free blog software