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                                                    ScaleDB

                                                    MySQL storage engine developer ScaleDB.

                                                    April 16, 2015

                                                    Notes on indexes and index-like structures

                                                    Indexes are central to database management.

                                                    Perhaps it’s time for a round-up post on indexing. ??

                                                    1. First, let’s review some basics. Classically:

                                                    2. Further:? Read more

                                                    April 14, 2013

                                                    Introduction to Deep Information Sciences and DeepDB

                                                    I talked Friday with Deep Information Sciences, makers of DeepDB. Much like TokuDB — albeit with different technical strategies — DeepDB is a single-server DBMS in the form of a MySQL engine, whose technology is concentrated around writing indexes quickly. That said:

                                                    *For reasons that do not seem closely related to product reality, DeepDB is marketed as if it supports “unstructured” data today.

                                                    Other NewSQL DBMS seem “designed for big data and the cloud” to at least the same extent DeepDB is. However, if we’re interpreting “big data” to include multi-structured data support — well, only half or so of the NewSQL products and companies I know of share Deep’s interest in branching out. In particular:

                                                    Edit: MySQL has some sort of an optional NoSQL interface, and hence so presumably do MySQL-compatible TokuDB, GenieDB, Clustrix, and MemSQL.

                                                    Also, some of those products do not today have the transparent scale-out that Deep plans to offer in the future.

                                                    Read more

                                                    January 5, 2013

                                                    NewSQL thoughts

                                                    I plan to write about several NewSQL vendors soon, but first here’s an overview post. Like “NoSQL”, the term “NewSQL” has an identifiable, recent coiner — Matt Aslett in 2011 — yet a somewhat fluid meaning. Wikipedia suggests that NewSQL comprises three things:

                                                    I think that’s a pretty good working definition, and will likely remain one unless or until:

                                                    To date, NewSQL adoption has been limited.

                                                    That said, the problem may lie more on the supply side than in demand. Developing a competitive SQL DBMS turns out to be harder than developing something in the NoSQL state of the art.

                                                    Read more

                                                    January 5, 2013

                                                    Data(base) virtualization — a terminological mess

                                                    Data/database virtualization seems to be a hot subject right now, and vendors of a broad variety of different technologies are all claiming to be in the space. A terminological mess has ensued, as Monash’s First and Third Laws of Commercial Semantics are borne out in spades.

                                                    If something is like “virtualization”, then it should resemble hypervisors such as VMware. To me:

                                                    Anything that claims to be “like virtualization” should be viewed in that light. Read more

                                                    July 15, 2011

                                                    Soundbites: the Facebook/MySQL/NoSQL/VoltDB/Stonebraker flap, continued

                                                    As a follow-up to the latest Stonebraker kerfuffle, Derrick Harris asked me a bunch of smart followup questions. My responses and afterthoughts include:

                                                    Continuing with that discussion of DBMS alternatives:

                                                    And while we’re at it — going schema-free often makes a whole lot of sense. I need to write much more about the point, but for now let’s just say that I look favorably on the Big Four schema-free/NoSQL options of MongoDB, Couchbase, HBase, and Cassandra.

                                                    April 19, 2011

                                                    Notes on short-request scale-out MySQL

                                                    A press person recently asked about:

                                                    … start-ups that are building technologies to enable MySQL and other SQL databases to get over some of the problems they have in scaling past a certain size. … I’d like to get a sense as to whether or not the problems are as severe and wide spread as these companies are telling me? If so, why wouldn’t a customer just move to a new database?

                                                    While that sounds as if he was asking about scale-out relational DBMS in general, MySQL or otherwise, short-request or analytic, it turned out that he was asking just about short-request scale-out MySQL. My thoughts and comments on that narrower subject include(d) but are not limited to:? Read more

                                                    August 18, 2010

                                                    I’m collecting data points on NoSQL and HVSP adoption

                                                    I was asked to do a magazine article on NoSQL, where by “NoSQL” is meant “whatever they talk about at NoSQL conferences.” By now the number of publications planning to run the article is up to 2, the deadline is next week and, crucially, it has been agreed that I may talk about HVSP in general, NoSQL and SQL alike.

                                                    It also is understood that, realistically, I can’t be expected to know and mention the very latest news for all the many products in the categories. Even so, I think this would be fine time to check just where NoSQL and HVSP adoption stand. Here is most of what I know, or links to same; it would be great if you guys would contribute additional data in the comment thread.

                                                    In the NoSQL area:? Read more

                                                    April 13, 2008

                                                    ScaleDB presents The Revenge of the Pointer

                                                    The MySQL user conference is upon us, and hence so are MySQL-related product announcements, including storage engines. One such is Kickfire. ScaleDB — smaller and earlier-stage — is another.

                                                    In a nutshell, ScaleDB’s proposition is:

                                                    Like many software companies with non-US roots, ScaleDB seems to have started with a single custom project, using a Patricia trie indexing system. Then they decided Patricia tries might be really useful for relational OLTP as well. The ScaleDB team now features four developers, plus half-time or so “Chief Architect” involvement from Vern Watts. Watts seems to pretty much have been Mr. IMS for the past four decades, and thus surely knows a whole lot about pointer-based database management systems; presumably, he’s responsible for the generic DBMS design features that are being added to the innovative indexing scheme. On ScaleDB’s advisory board is PeopleSoft veteran Rick Berquist, about whom I’ve had fond thoughts ever since he talked me into focusing on consulting as the core of my business.*

                                                    *More precisely, Rick pretty much tricked me into doing a day of consulting for $15K, then revealed that’s what he’d done, expressing the thought that he’d very much gotten his money’s worth. But I digress …

                                                    ScaleDB has no customers to date, but hopes to be in beta by the end of this year. Angels and a small VC firm have provided bridge loans; otherwise, ScaleDB has no outside investment. ScaleDB’s business model thoughts include: Read more

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