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Channel: Database diversity – DBMS 2 : DataBase Management System Services
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Some stuff that’s always on my mind

I have a LOT of partially-written blog posts, but am struggling to get any of them finished (obviously). Much of the problem is that they have so many dependencies on each other. Clearly, then, I...

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Analytics on the edge?

There’s a theory going around to the effect that: Compute power is and will be everywhere, for example in cars, robots, medical devices or microwave ovens. Let’s refer to these platforms collectively...

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MongoDB 3.4 and “multimodel” query

“Multimodel” database management is a hot new concept these days, notwithstanding that it’s been around since at least the 1990s. My clients at MongoDB of course had to join the train as well, but...

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Notes on the transition to the cloud

1. The cloud is super-hot. Duh. And so, like any hot buzzword, “cloud” means different things to different marketers. Four of the biggest things that have been called “cloud” are: The Amazon cloud,...

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Oracle as the new IBM — has a long decline started?

When I find myself making the same observation fairly frequently, that’s a good impetus to write a post based on it. And so this post is based on the thought that there are many analogies between:...

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Readings in Database Systems

Mike Stonebraker and Larry Ellison have numerous things in common. If nothing else: They’re both titanic figures in the database industry. They both gave me testimonials on the home page of my business...

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Differentiation in data management

In the previous post I broke product differentiation into 6-8 overlapping categories, which may be abbreviated as: Scope Accuracy (Other) trustworthiness Speed User experience Cost and sometimes also...

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Notes on packaged applications (including SaaS)

1. The rise of SAP (and later Siebel Systems) was greatly helped by Anderson Consulting, even before it was split off from the accounting firm and renamed as Accenture. My main contact in that group...

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Multi-model database managers

I’d say: Multi-model database management has been around for decades. Marketers who say otherwise are being ridiculous. Thus, “multi-model”-centric marketing is the last refuge of the incompetent....

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Notes on HBase

I talked with a couple of Cloudera folks about HBase last week. Let me frame things by saying: The closest thing to an HBase company, ala MongoDB/MongoDB or DataStax/Cassandra, is Cloudera. Cloudera...

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Data models

7-10 years ago, I repeatedly argued the viewpoints: Relational DBMS were the right choice in most cases. Multiple kinds of relational DBMS were needed, optimized for different kinds of use case. There...

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Using multiple data stores

I’m commonly asked to assess vendor claims of the kind: “Our system lets you do multiple kinds of processing against one database.” “Otherwise you’d need two or more data managers to get the job done,...

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DBMS2 revisited

The name of this blog comes from an August, 2005 column. 8 1/2 years later, that analysis holds up pretty well. Indeed, I’d keep the first two precepts exactly as I proposed back then: Task-appropriate...

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Layering of database technology & DBMS with multiple DMLs

Two subjects in one post, because they were too hard to separate from each other Any sufficiently complex software is developed in modules and subsystems. DBMS are no exception; the core trinity of...

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One database to rule them all?

Perhaps the single toughest question in all database technology is: Which different purposes can a single data store serve well? — or to phrase it more technically — Which different usage patterns can...

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Integrated internet system design

What are the central challenges in internet system design? We probably all have similar lists, comprising issues such as scale, scale-out, throughput, availability, security, programming ease, UI, or...

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Database diversity revisited

From time to time, I try to step back and build a little taxonomy for the variety in database technology. One effort was 4 1/2 years ago, in a pre-planned exchange with Mike Stonebraker (his side,...

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Workday update

In August 2010, I wrote about Workday’s interesting technical architecture, highlights of which included: Lots of small Java objects in memory. A very simple MySQL backing store (append-only, <10...

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Many kinds of memory-centric data management

I’m frequently asked to generalize in some way about in-memory or memory-centric data management. I can start: The desire for human real-time interactive response naturally leads to keeping data in...

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Juggling analytic databases

I’d like to survey a few related ideas: Enterprises should each have a variety of different analytic data stores. Vendors — especially but not only IBM and Teradata — are acknowledging and marketing...

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