Exalytics vs. HANA: What are they thinking?
I’ve been trying to sort through the noise around Exalytics and see if there are any conclusions to be drawn from the architecture. But this post is more about the noise. The vast majority of the articles I’ve read posted by industry analysts suggest that Exalytics is Oracle‘s answer to SAP‘s HANA. See:
But I do not see it?
Exalytics is a smart cache that holds a redundant copy of aggregated data in memory to offload aggregate queries from your data warehouse or mart. The system is a shared-memory implementation that does not scale out as the size of the aggregates increase. It does scale up by daisy-chaining Exalytics boxes to store more aggregates. It is a read-only system that requires another DBMS as the source of the aggregated data. Exalytics provides a performance boost for Oracle including for Exadata (remember, Exadata performs aggregation in the RAC layer… when RAC is swamped Exalytics can offload some processing).
HANA is a fully functional in-memory shared-nothing columnar DBMS. It does not store a copy of the data.. it stores the data. It can be updated. HANA replaces Oracle… it does not speed it up.
I’ll post more on Exalytics… and on HANA… but there is no Exalytics vs. HANA competition ahead. There will be no Exalytics vs. HANA POCs. They are completely different technologies solving different problems with the only similarity being that they both leverage the decreasing costs of RAM to eliminate the expense of I/O to disk or SSD devices. Don’t let the common phrase “in-memory” confuse you.