Oracle OpenWorld 2016 kicks off on September 18th in San Francisco with ten tracks, including a Data Center track highlighting innovation in databases including MemSQL and Oracle.
We built MemSQL to be a flexible ecosystem technology, as exemplified by several features. First, we offer users flexible deployments – whether it’s hybrid cloud, on-premises, VMs, or containers. Second, our connector tools are open source, such as MemSQL Spark Connector and Streamliner, which lets you build real-time pipelines and import from popular datastores like HDFS, S3, and MySQL. And MemSQL is a memory-first engine, designed for concurrent data ingest and analytics. These ingredients make MemSQL a perfect real-time addition to any stack. Several of our customers combine MemSQL with traditional systems, in particular Oracle databases. MemSQL and Oracle can be deployed side by side to enhance scalability, distributed processing, and real-time analytics.
Three Ways MemSQL Complements Oracle
MemSQL as the Real-Time Analytics Engine
Data can be copied from Oracle to MemSQL using a data capture tool, and analytical queries can be performed in real time.
MemSQL for Stream Processing with Kafka and Spark
MemSQL can serve as the stream processing layer in front of an Oracle database. Use Apache Kafka or Apache Spark to help build real-time data pipelines.
MemSQL as the High Speed Ingest Layer
Using MemSQL as the data ingest layer on top of an Oracle database allows ingest at in-memory speed.
Visit the MemSQL Booth 1821 at Oracle OpenWorld
Grab a complimentary copy of our O’Reilly Book: Building Real-Time Data Pipelines, take home a MemSQL t-shirt, and enter for a chance to win an Estes Proto-X Drone during the show expo hours:
Monday, September 19, 10:15AM – 5:30PM
Tuesday, September 20, 10:15AM – 5:15PM
Wednesday, September 21, 10:15AM – 4:15PM
Members of the MemSQL team will be available for questions and will also be demonstrating our newest showcase application, MemEx, modeling real-time supply chain analytics.
Get the full event details here: memsql.com/oow