Generally available Kudu
I talked with Cloudera about Kudu in early May. Besides giving me a lot of information about Kudu, Cloudera also helped confirm some trends I’m seeing elsewhere, including: Security is an ever bigger...
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Interana
Interana has an interesting story, in technology and business model alike. For starters: Interana does ad-hoc event series analytics, which they call “interactive behavioral analytics solutions”....
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Introduction to Crate.io and CrateDB
Crate.io and CrateDB basics include: Crate.io makes CrateDB. CrateDB is a quasi-RDBMS designed to receive sensor data and similar IoT (Internet of Things) inputs. CrateDB’s creators were perhaps a...
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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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Cloudera Kudu deep dive
This is part of a three-post series on Kudu, a new data storage system from Cloudera. Part 1 is an overview of Kudu technology. Part 2 (this post) is a lengthy dive into how Kudu writes and reads data....
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Introduction to Cloudera Kudu
This is part of a three-post series on Kudu, a new data storage system from Cloudera. Part 1 (this post) is an overview of Kudu technology. Part 2 is a lengthy dive into how Kudu writes and reads data....
View ArticleTeradata will support Presto
At the highest level: Presto is, roughly speaking, Facebook’s replacement for Hive, at least for queries that are supposed to run at interactive speeds. Teradata is announcing support for Presto with a...
View ArticleMemSQL 4.0
I talked with my clients at MemSQL about the release of MemSQL 4.0. Let’s start with the reminders: MemSQL started out as in-memory OTLP (OnLine Transaction Processing) DBMS … … but quickly positioned...
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Teradata bought Hadapt and Revelytix
My client Teradata bought my (former) clients Revelytix and Hadapt.* Obviously, I’m in confidentiality up to my eyeballs. That said — Teradata truly doesn’t know what it’s going to do with those...
View Article21st 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...
View ArticleUsing 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,...
View ArticleIntroduction to CitusDB
One of my lesser-known clients is Citus Data, a largely Turkish company that is however headquartered in San Francisco. They make CitusDB, which puts a scale-out layer over a collection of...
View ArticleMemSQL update
I stopped by MemSQL last week, and got a range of new or clarified information. For starters: Even though MemSQL (the product) was originally designed for OLTP (OnLine Transaction Processing), MemSQL...
View ArticleNoSQL vs. NewSQL vs. traditional RDBMS
I frequently am asked questions that boil down to: When should one use NoSQL? When should one use a new SQL product (NewSQL or otherwise)? When should one use a traditional RDBMS (most likely Oracle,...
View ArticleMemSQL 3.0
Memory-centric data management is confusing. And so I’m going to clarify a couple of things about MemSQL 3.0 even though I don’t yet have a lot of details.* They are: MemSQL has historically been an...
View ArticleThoughts on in-memory columnar add-ons
Oracle announced its in-memory columnar option Sunday. As usual, I wasn’t briefed; still, I have some observations. For starters: Oracle, IBM (Edit: See the rebuttal comment below), and Microsoft are...
View ArticleThings I keep needing to say
Some subjects just keep coming up. And so I keep saying things like: Most generalizations about “Big Data” are false. “Big Data” is a horrific catch-all term, with many different meanings. Most...
View ArticleHortonworks, Hadoop, Stinger and Hive
I chatted yesterday with the Hortonworks gang. The main subject was Hortonworks’ approach to SQL-on-Hadoop — commonly called Stinger — but at my request we cycled through a bunch of other topics as...
View ArticleImpala and Parquet
I visited Cloudera Friday for, among other things, a chat about Impala with Marcel Kornacker and colleagues. Highlights included: Impala is meant to someday be a competitive MPP (Massively Parallel...
View ArticleIBM BLU
I had a good chat with IBM about IBM BLU, aka BLU Accelerator or Accleration. BLU basics start: BLU is a part of DB2. BLU works like a columnar analytic DBMS. If you want to do a join combining BLU and...
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