Oracle Database In-Memory comes with big performance promises. But examine a few performance tradeoffs, change requirements, and acceleration constraints.
of the technology. Importantly, it will be up to the vendors, not customers, to do that optimization work as part of 12c certification.
4. You can't explore data in memory unless you put it there. Ellison spoke of exploratory analysis scenarios and the possibility of getting rid of predefined multi-dimensional cubes, but how is this possible without everything in memory?
"In this first release, there will be no dynamic loading of data into memory [based on queries], so you have to predefine that," said Shetler. "If you put five columns in memory and you query demands access to six, you're hobbling response times because you're going to flash or disk for that last column. In our tests, customers tended to put whole tables or whole partitions into memory, and if they have enough DRAM, they don't even think about economizing."
In a future release, Oracle is planning to add automated advisor tools that look at data-access patterns over time and suggest which tables to place into memory, Shetler said. Microsoft introduced similar tools with its Microsoft SQL Server OLTP In-Memory option, and customers say they greatly simplify decisions around which data to store in memory.
5. Oracle is not proposing to get rid of data warehouses. At one point during his presentation, Ellison said the In-Memory option would "make everything a lot simpler ... and you can use a transactional system as a data warehouse." This sounds like an echo of SAP's "radical simplification" claims, but it seemed unexpected coming from Oracle, which makes tons of money on data warehouse deployments. What did Ellison really mean?
"We're not talking about getting rid of data warehouses, because they're not just for analytics, they're a system of record," said Shetler, noting that Ellison "probably meant to say or should have said" data marts. "Marts tend to be separate copies of the production database used for analytics and reporting. With the In-Memory Option, you run mart applications against the production database."
Oracle CEO Larry Ellison announces July availability of the Oracle Database In-Memory option.
6. The in-memory option does not require Oracle Engineered Systems. Despite all the touts of Exadata and M6 Sparc during Tuesday's presentation, the in-memory option will run on any hardware certified to run Oracle 12c, Shetler said. "Scale-out [deployment] and fault-tolerance are dependent upon the RAC clustering technology, but that's available on any [certified] hardware."
Oracle took its in-memory option through a three-month, 60-company beta program, according to Shetler. In contrast, Microsoft went through its customary private and public community technology previews with In-Memory OLTP. Each preview was months long, and in the end, Microsoft saw tens of thousands of downloads and bug reports from customers. By comparison, the Oracle release seems a little rushed. Rest assured features like deployment advisors and dynamic loading based on query patterns -- techniques already used by competitors and elsewhere by Oracle itself -- will appear in a follow-up release of the in-memory option.
Make no mistake: Oracle Database In-Memory will bring important benefits to customers. And Oracle is certainly not alone in highlighting the high points while soft pedaling certain details of its in-memory promise. SAP's promised "radical transformation" of IT infrastructure, for example, can't happen "without disruption" as it claims -- particularly in analytical deployments.
With Oracle Database In-Memory, analytical improvements are a sure thing and modest transactional improvements are possible, but you or your software vendors will have to make some changes to make the most of the technology.
IBM, Microsoft, Oracle, and SAP are fighting to become your in-memory technology provider. Do you really need the speed? Get the digital In-Memory Databases issue of InformationWeek today.
Doug Henschen is Executive Editor of InformationWeek, where he covers the intersection of enterprise applications with information management, business intelligence, big data and analytics. He previously served as editor in chief of Intelligent Enterprise, editor in chief of ... View Full Bio
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?