Hi Ashish, A bit of information from our side - I represent Human Inference, a data quality company owned by Neopost. MetaModel was originally founded in our R&D labs :-)
We use MetaModel in a bunch of applications, primarily: DataCleaner - www.datacleaner.org - an open source data quality solution - with over 15,000 registered users. To my knowledge they use all the connectors and in data load sizes ranging from tiny to huge. Data Improver - www.dataimprover.com - a cloud-based contact/mailing data cleansing street. It's sold primarily in the UK but expanding to US, Germany, NL and probably more in the future. The sources here are CSV and Excel files. HIquality MDM - our Master Data Management hub which is consuming data from many sources, so the wide array of connectors is a huge value-add there too. One commonality about all three applications is that it is primarily using MM for batch processing. Typically onboarding a big load of records, doing some complex processing on them and inserting them then into a cleansed new datastore. Some of the tools obviously also then does adhoc querying afterwards, but that's then more in an environment that is more homogenic. Best regards, Kasper 2015-06-08 8:18 GMT+02:00 Ashish Mukherjee <[email protected]>: > Hello, > > I am aware couple of companies are using MM for their production > applications, ,as stated on this list. > > For a better understanding of the trends in terms of its use and scale of > operation, I was wondering what are the connectors which people are using > most and what are the typical data sizes being queried through MM etc. > Which data stores do people generally query together or use in a combined > way? > > Would any users of MM be willing to share some info related to this? > > Thanks, > Ashish >
