All, I received this today, is this appropriate list use? Note: This was unsolicited.
Thanks John From: Pierce Lamb <pl...@snappydata.io> 11:57 AM (1 hour ago) to me Hi John, I saw you on the Spark Mailing List and noticed you worked for ***** and wanted to reach out. My company, SnappyData, just launched an open source OLTP + OLAP Database built on Spark. Our lead investor is Pivotal, whose largest owner is EMC which makes ***** like a father figure :) SnappyData’s goal is two fold: Operationalize Spark and deliver truly interactive queries. To do this, we first integrated Spark with an in-memory database with a pedigree of production customer deployments: GemFireXD (GemXD). GemXD operationalized Spark via: -- True high availability -- A highly concurrent environment -- An OLTP engine that can process transactions (mutable state) With GemXD as a storage engine, we packaged SnappyData with Approximate Query Processing (AQP) technology. AQP enables interactive response times even when data volumes are huge because it allows the developer to trade latency for accuracy. AQP queries (SQL queries with a specified error rate) execute on sample tables -- tables that have taken a stratified sample of the full dataset. As such, AQP queries enable much faster decisions when 100% accuracy isn’t needed and sample tables require far fewer resources to manage. If that sounds interesting to you, please check out our Github repo (our release is hosted there under “releases”): https://github.com/SnappyDataInc/snappydata We also have a technical paper that dives into the architecture: http://www.snappydata.io/snappy-industrial Are you currently using Spark at ****? I’d love to set up a call with you and hear about how you’re using it and see if SnappyData could be a fit. In addition to replying to this email, there are many ways to chat with us: https://github.com/SnappyDataInc/snappydata#community-support Hope to hear from you, Pierce pl...@snappydata.io http://www.twitter.com/snappydata