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                                                    NewSQL

                                                    Discussion of NewSQL products and vendors such as Akiban, Tokutek, VoltDB and dbShards. See also transparent sharding.

                                                    May 20, 2015

                                                    MemSQL 4.0

                                                    I talked with my clients at MemSQL about the release of MemSQL 4.0. Let’s start with the reminders:

                                                    The main new aspects of MemSQL 4.0 are:

                                                    There’s also a new free MemSQL “Community Edition”. MemSQL hopes you’ll experiment with this but not use it in production. And MemSQL pricing is now wholly based on RAM usage, so the column store is quasi-free from a licensing standpoint is as well.

                                                    Read more

                                                    November 30, 2014

                                                    Thoughts and notes, Thanksgiving weekend 2014

                                                    I’m taking a few weeks defocused from work, as a kind of grandpaternity leave. That said, the venue for my Dances of Infant Calming is a small-but-nice apartment in San Francisco, so a certain amount of thinking about tech industries is inevitable. I even found time last Tuesday to meet or speak with my clients at WibiData, MemSQL, Cloudera, Citus Data, and MongoDB. And thus:

                                                    1. I’ve been sloppy in my terminology around “geo-distribution”, in that I don’t always make it easy to distinguish between:

                                                    The latter case can be subdivided further depending on whether multiple copies of the data can accept first writes (aka active-active, multi-master, or multi-active), or whether there’s a clear single master for each part of the database.

                                                    What made me think of this was a phone call with MongoDB in which I learned that the limit on number of replicas had been raised from 12 to 50, to support the full-replication/latency-reduction use case.

                                                    2. Three years ago I posted about agile (predictive) analytics. One of the points was:

                                                    … if you change your offers, prices, ad placement, ad text, ad appearance, call center scripts, or anything else, you immediately gain new information that isn’t well-reflected in your previous models.

                                                    Subsequently I’ve been hearing more about predictive experimentation such as bandit testing. WibiData, whose views are influenced by a couple of Very Famous Department Store clients (one of which is Macy’s), thinks experimentation is quite important. And it could be argued that experimentation is one of the simplest and most direct ways to increase the value of your data.

                                                    3. I’d further say that a number of developments, trends or possibilities I’m seeing are or could be connected. These include agile and experimental predictive analytics in general, as noted in the previous point, along with:? Read more

                                                    July 14, 2014

                                                    21st Century DBMS success and failure

                                                    As part of my series on the keys to and likelihood of success, I outlined some examples from the DBMS industry. The list turned out too long for a single post, so I split it up by millennia. The part on 20th Century DBMS success and failure went up Friday; in this one I’ll cover more recent events, organized in line with the original overview post. Categories addressed will include analytic RDBMS (including data warehouse appliances), NoSQL/non-SQL short-request DBMS, MySQL, PostgreSQL, NewSQL and Hadoop.

                                                    DBMS rarely have trouble with the criterion “Is there an identifiable buying process?” If an enterprise is doing application development projects, a DBMS is generally chosen for each one. And so the organization will generally have a process in place for buying DBMS, or accepting them for free. Central IT, departments, and — at least in the case of free open source stuff — developers all commonly have the capacity for DBMS acquisition.

                                                    In particular, at many enterprises either departments have the ability to buy their own analytic technology, or else IT will willingly buy and administer things for a single department. This dynamic fueled much of the early rise of analytic RDBMS.

                                                    Buyer inertia is a greater concern.

                                                    A particularly complex version of this dynamic has played out in the market for analytic RDBMS/appliances.

                                                    Otherwise I’d say:? Read more

                                                    May 6, 2014

                                                    Notes and comments, May 6, 2014

                                                    After visiting California recently, I made a flurry of posts, several of which generated considerable discussion.

                                                    Here is a catch-all post to complete the set.? Read more

                                                    May 1, 2014

                                                    MemSQL update

                                                    I stopped by MemSQL last week, and got a range of new or clarified information. For starters:

                                                    On the more technical side: Read more

                                                    March 28, 2014

                                                    NoSQL vs. NewSQL vs. traditional RDBMS

                                                    I frequently am asked questions that boil down to:

                                                    The details vary with context — e.g. sometimes MySQL is a traditional RDBMS and sometimes it is a new kid — but the general class of questions keeps coming. And that’s just for short-request use cases; similar questions for analytic systems arise even more often.

                                                    My general answers start:

                                                    In particular, migration away from legacy DBMS raises many issues:? Read more

                                                    February 9, 2014

                                                    Distinctions in SQL/Hadoop integration

                                                    Ever more products try to integrate SQL with Hadoop, and discussions of them seem confused, in line with Monash’s First Law of Commercial Semantics. So let’s draw some distinctions, starting with (and these overlap):

                                                    In particular:

                                                    Let’s go to some examples. Read more

                                                    November 10, 2013

                                                    RDBMS and their bundle-mates

                                                    Relational DBMS used to be fairly straightforward product suites, which boiled down to:

                                                    Now, however, most RDBMS are sold as part of something bigger.

                                                    Read more

                                                    November 8, 2013

                                                    Comments on the 2013 Gartner Magic Quadrant for Operational Database Management Systems

                                                    The 2013 Gartner Magic Quadrant for Operational Database Management Systems is out. “Operational” seems to be Gartner’s term for what I call short-request, in each case the point being that OLTP (OnLine Transaction Processing) is a dubious term when systems omit strict consistency, and when even strictly consistent systems may lack full transactional semantics. As is usually the case with Gartner Magic Quadrants:

                                                    Anyhow:? Read more

                                                    August 31, 2013

                                                    Tokutek’s interesting indexing strategy

                                                    The general Tokutek strategy has always been:

                                                    But the details of “writes indexes efficiently” have been hard to nail down. For example, my post about Tokutek indexing last January, while not really mistaken, is drastically incomplete.

                                                    Adding further confusion is that Tokutek now has two product lines:

                                                    TokuMX further adds language support for transactions and a rewrite of MongoDB’s replication code.

                                                    So let’s try again. I had a couple of conversations with Martin Farach-Colton, who:

                                                    The core ideas of Tokutek’s architecture start: Read more

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