1. RetroDB ( We have seen it all) Donald Kossmann Systems Group, ETH Zurich

2. We got it all right… why is nobody listening? 

3. Why is nobody listening? Web (e.g. Amazon, Facebook, Google) – reinventing the wheel is cooler than listening – do not worry about them Enterprise (e.g., Amadeus, Credit Suisse, …) – they do listen – but, new problem: No more silos! (aka Big Data) – RDBMS not a good match for that new problem – we need to repackage! (I do not know about Scientific applications)

4. Repackaging DB Technology Blob store as a service (HDFS++)

5. Repackaging DB Technology Blob store as a service (HDFS++) OLTP

6. Repackaging DB Technology Blob store as a service (HDFS++) OLTP OLAPOLAP OLAPOLAP Streaming

7. Repackaging DB Technology HDFS OLTP OLAPOLAP OLAPOLAP Streaming Graph Search … … ML

8. Repackaging DB Technology Data in Blob Store, Processing in Compute Nodes Great advantages – scales storage and processing individually – no need to worry about “multi-tenancy” & silos – fault-tolerance for free – commodity building blocks (KVS, 2PC, SI, SQL, …) – it is cool because Google does it Great disadvantages – poor data locality (data shipping) – poor semantics (sharing increases noise)

9. What we need to do! Optimize Shared Memory DBMS – split work between tiers: e.g., push down scans – shared scans in storage tier – new ways to implement ACID in client/server system – (many more optimizations) Get semantics right – it is one big soup of data – but everybody wants to look at it in different ways And build a really good HDFS++ – across the storage hierarchy (DRAM, SSD, NVRAM, disk)

10. What we need NOT do! 300 gazillion TPS in a single box – great, but who needs that? – what to do with the data once it is in there? Think about caching – if you have locality, make it explicit Worry about eventual consistency, NoSQL, … or dismiss anything else we have done!