Security is not only the the number one concern for adopting cloud computing, it is also a serious barrier to the adopt-ability of cloud computing. Also, security considerations are causing the Virtual Machine (VM) operating system to evolve. All this came out at the SDForum Cloud SIG night on Cloud Security (the presentations are on the SIG page). There were three speakers and a lot was said. I am just going to highlight a few things that struck me as important.
Firstly, Dr Chenxi Wang from Forrester Research spoke on cloud security issues and trends. She highlighted the issue of compliance to various regulations and how it clashes with what the cloud providers have to offer. One concern is where data is stored, as countries have different regulations for data privacy and record keeping on individuals. If data from one country happened to be stored in another country, that could create a problem with complex legal ramifications that would be expensive to resolve. On the other side of the equation are the cloud system vendors who want to provide a generic service with as few constraints as possible. Having to give a guarantee about where data is stored would make their service offering more complicated and expensive to provide.
Another more specific example of the clash between compliance and what cloud vendors provide is with the PCI security standard in credit card card industry. One PCI requirement is that all computer systems used for PCI applications are scanned for vulnerabilities at least ever three months. Most cloud vendors are unwilling to have their systems scanned for vulnerabilities for a variety of reasons, one of which I will discuss shortly. The solution may be specialized cloud services that are aimed at specific industries. IBM is experimenting with a cloud service that they claim is PCI compliant. These specific services will be more expensive and we will have wait and see whether they succeed.
Chris Richter from Savvis, a cloud provider spoke next. He mentioned standards as a way to resolve the issued described above. The International Standards Organization is creating the ISO 27000 suite of standards for information security. So far ISO 27001 "Information security management systems — Requirements" and ISO 27002 "Code of practice for information security management" are the most mature and relevant standards. As with other ISO standards like ISO 9000 quality standard, there is certification process which will allow cloud providers to make standards based security claims about the service that they provide.
Finally, Dave Asprey from Trend Micro discussed the evolving nature of the VM technology that underlies cloud computing offerings. The original VMware vision was that a virtual machine would be used to develop software for a real physical machine so they spent a lot of time and effort on faithfully replication every aspect of a physical machine in their virtual machine. Now the use case has shifted to making more efficient use of resources. However, a problem is that common operations can bring a set of virtual machines to a standstill if they all decide to do the same common operation at the same time.
Again, vulnerability scanning shows the problem. If the company default is that the anti-virus scan is scheduled for lunchtime Wednesday, then the whole virtual machine infrastructure can be brought to its knees when everyone's VM starts its scan at the same time. Furthermore, because many of the files being scanned may be shared by all the virtual machines, having each VM scan them is a huge waste of resources. Anti-virus software companies are working with the VM software vendors to provide a vulnerability scan that is VM aware and that uses new VM APIs to perform its function is an efficient and non-disruptive way. While this is necessary it seems to run counter to the original notion that each VM is an entirely separate entity that is completely unaware that other VMs exist.
Wednesday, March 30, 2011
Sunday, March 13, 2011
Database System Startups Capitulate
In the last decade, there have been many database system startups, most of them aimed at the analytics market. In the last year, several of the most prominent ones have sold out to large companies. Here are my notes on what has happened.
Netezza to IBM
Netezza is database appliance that uses hardware assistance to do search. Recently it has been quite successful, with revenues getting into the $200M range. Netezza was founded in 2000 and sold out to IBM for $1.7B. The deal closed in November 2010. The Netezza hardware assistance is a gismo near the disk head that decides which data to read. Many people, myself included, think that special purpose hardware in this application is of marginal value at best. You can get better price performance and much more flexibility with commodity hardware and clever software. IBM seems to be keeping Netezza at arms length as a separate company and brand, which is unusual as IBM normally integrates the companies it buys into its existing product lines.
Greenplum to EMC
Greenplum is a massive multi-processor database system. For example, Brian Dolan told the BI SIG last year how Fox Interactive Media (MySpace) used a 40 host Greenplum database system to do their data analytics. The company was founded in 2003. The sale to EMC closed in July 2010. The price is rumoured to be somewhere at the top of the $300M to $400M range. EMC is a storage system vendor that has been growing very fast, partly by acquiring successful companies. EMC owns VMWare (virtualization), RSA (security) and many other businesses. The Greenplum acquisition adds big data to big storage.
Vertica to HP
Vertica is a columnar database system for analytics. The privately held company started in 2005 with respected database guru Mike Stonebreaker as a founder. The sale was announced in February 2011. The sale price has not been announced. I have heard a rumour of $180M which seems low, although the company received only $30M in VC funding. Initially Vertica seemed to be doing well, however in the last year it seems to have lost momentum.
The other interesting part of this equation is HP which used to be a big partner with Oracle for database software. When Oracle bought HP hardware rival Sun Microsystems in 2009, HP was left in a dangerous position as they did not have a database system to call their own. I was surprised that nobody commented on this at the time. In the analytics area, HP tried to fill in with the NeoView database system, which proved to be such a disaster that they recently cancelled it and bought Vertica instead. NeoView was based on the Tandem transaction processing database system. Firstly, it is difficult to get database system that is optimized for doing large numbers of small transactions to do large analytic queries well, and the Tandem system is highly optimized for transaction processing. Secondly, the Tandem database system only ran on the most expensive hardware that HP had to offer so it was very expensive to implement.
Aster Data Systems to Teradata
Aster Data is a massive multi-processor database system, which in theory is a little more flexible about using a cluster of hosts than Greenplum. The company was founded in 2006 and sold out to Teradata for about $300M in March 2011. Teradata, founded in 1979 and acquired by NCR in 1991 was spun out of NCR in 2007 and since then has been sucessfully growing in the data warehouse space. It is not clear how Aster Data and Teradata will integrate their product lines. One thing is that Aster data gives Teradata a scalable offering in the cloud computing space. Teradata has been angling to get into this space for some time as we heard last summer when Daniel Graham spoke the the BI SIG.
Recently there have been a lot of database systems startups, and several of them are still independent. On the other side, there are not a lot of companies that might want to buy a database systems vendor. Furthermore, there is a strong movement to NoSQL databases which are easier to develop and where there are several strong contenders. The buyout prices are good, but apart from Netezza the prices are no blowout. The VCs behind these sales probably decided that they do not want to be left standing when the music stops and so sold out for a good but not great profit.
Netezza to IBM
Netezza is database appliance that uses hardware assistance to do search. Recently it has been quite successful, with revenues getting into the $200M range. Netezza was founded in 2000 and sold out to IBM for $1.7B. The deal closed in November 2010. The Netezza hardware assistance is a gismo near the disk head that decides which data to read. Many people, myself included, think that special purpose hardware in this application is of marginal value at best. You can get better price performance and much more flexibility with commodity hardware and clever software. IBM seems to be keeping Netezza at arms length as a separate company and brand, which is unusual as IBM normally integrates the companies it buys into its existing product lines.
Greenplum to EMC
Greenplum is a massive multi-processor database system. For example, Brian Dolan told the BI SIG last year how Fox Interactive Media (MySpace) used a 40 host Greenplum database system to do their data analytics. The company was founded in 2003. The sale to EMC closed in July 2010. The price is rumoured to be somewhere at the top of the $300M to $400M range. EMC is a storage system vendor that has been growing very fast, partly by acquiring successful companies. EMC owns VMWare (virtualization), RSA (security) and many other businesses. The Greenplum acquisition adds big data to big storage.
Vertica to HP
Vertica is a columnar database system for analytics. The privately held company started in 2005 with respected database guru Mike Stonebreaker as a founder. The sale was announced in February 2011. The sale price has not been announced. I have heard a rumour of $180M which seems low, although the company received only $30M in VC funding. Initially Vertica seemed to be doing well, however in the last year it seems to have lost momentum.
The other interesting part of this equation is HP which used to be a big partner with Oracle for database software. When Oracle bought HP hardware rival Sun Microsystems in 2009, HP was left in a dangerous position as they did not have a database system to call their own. I was surprised that nobody commented on this at the time. In the analytics area, HP tried to fill in with the NeoView database system, which proved to be such a disaster that they recently cancelled it and bought Vertica instead. NeoView was based on the Tandem transaction processing database system. Firstly, it is difficult to get database system that is optimized for doing large numbers of small transactions to do large analytic queries well, and the Tandem system is highly optimized for transaction processing. Secondly, the Tandem database system only ran on the most expensive hardware that HP had to offer so it was very expensive to implement.
Aster Data Systems to Teradata
Aster Data is a massive multi-processor database system, which in theory is a little more flexible about using a cluster of hosts than Greenplum. The company was founded in 2006 and sold out to Teradata for about $300M in March 2011. Teradata, founded in 1979 and acquired by NCR in 1991 was spun out of NCR in 2007 and since then has been sucessfully growing in the data warehouse space. It is not clear how Aster Data and Teradata will integrate their product lines. One thing is that Aster data gives Teradata a scalable offering in the cloud computing space. Teradata has been angling to get into this space for some time as we heard last summer when Daniel Graham spoke the the BI SIG.
Recently there have been a lot of database systems startups, and several of them are still independent. On the other side, there are not a lot of companies that might want to buy a database systems vendor. Furthermore, there is a strong movement to NoSQL databases which are easier to develop and where there are several strong contenders. The buyout prices are good, but apart from Netezza the prices are no blowout. The VCs behind these sales probably decided that they do not want to be left standing when the music stops and so sold out for a good but not great profit.
Labels:
Analytics,
Cloud Computing,
Concurrency,
Database
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