M-A-O-L

Spot on article about Database as a Service Cloud DaaS Managed Service Fuels NewSQL Market:

While this sounds simple, public cloud companies soon learn that the Devil is in the details. Managing someone else’s database, without insight into their business processes, performance demands, scaling demands, evolving application requirements, and more, is extremely challenging and demands a new class of DBMS. These demands have created a market need that is now being filled by companies using the moniker “NewSQL”.

I’m not sold on calling this NewSQL, but hey, people like to invent new names from time to time…

There’s a lot going on in the NoSQL world, or maybe Derrick Harris was just exceptionally busy last night…

• EMC throws lots of hardware at Hadoop
• DataStax gets $11M, fuses NoSQL and Hadoop
• Neo raises $10.6M for Neo4j as graph DBs take off
• NoSQL Database Company Neo Technology Raises $10.6 Million

Wow!

Oracle Openworld must be close, because the rumour mill starts heating up… Piper Jaffray is predicting that Oracle will release an Exadata Mini machine that will fit under ones desk (via DBMS2). And Jean-Pierre Dijcks compiled a list of Big Data related sessions at Openworld, Big Data may very well be the key note topic, I hear, so it’s worth spending some time at these sessions.

Some Sybase PR about their latest release: Sybase Adaptive Server Enterprise 15.7 Boosts Performance and Lowers Cost of Managing Exploding Data Volumes

ASE 15.7 further reduces cost of operations by simplifying administration and enhancing system security, providing a database manager that remains easy to manage while protecting against intrusion. ASE 15.7’s online operations and extended diagnostic features increase data availability, optimize the data for application performance and quickly pinpoint bottlenecks to speed performance. Strong password encryption and single login profiles protect the database from unauthorized external access attempts and make it easier to manage large numbers of users.

Sybase 15.7 is quite a major update to 15.5, there are more details in the Sybase ASE 15.7 New Features guide.

Oracle’s MySQL Blog reports about New Commercial Extensions for MySQL Enterprise Edition:

MySQL 5.5 GA and MySQL 5.6 Development Milestone Releases have delivered many new compelling features to the MySQL users and community for testing, feedback and use.

In addition, commercial customers have access to a number of commercial extensions already included in MySQL Enterprise Edition:

• MySQL Enterprise Monitor
• MySQL Enterprise Backup

Continuing the business model of MySQL, we are adding three new commercial extensions to MySQL Enterprise Edition:

• MySQL Enterprise Scalability
• MySQL Enterprise High Availability
• MySQL Enterprise Security

Via Heise, who have some coverage in German.

Another Hadoop alternative? Their claim to fame appears to be that they’ve been in enterprise production use for longer than Hadoop, and as such may be more attractive to enterprise software buyers.

HPCC Systems, the division of LexisNexis Risk Solutions dedicated to big data, has released the open source code of its data-processing-and-delivery software it’s positioning as a better version of Hadoop

Via LexisNexis open sources code for Hadoop alternative.

David Menninger writes a nice intro to Splunk in Splunk Makes Machine-Generated Big Data Serve Analytics:

Splunk focuses on a specific segment of the big-data market: machine-generated data. This type of data originates constantly from many sources throughout an organization and in large quantities. The other common characteristic of machine-generated data is that generally it is less structured than data in typical relational databases. Often the information is captured as logs consisting of text files containing various record lengths and record structures. To effectively utilize this loosely structured information in real time, two challenges must be overcome: loading the data quickly and easily navigating through and analyzing the information once it is loaded.

I’m apparently not the only one having difficulties succinctly defining what Big Data is – let alone is there agreement in the industry, as to what the Big Data category should or should not include, as seen in Monash’s latest rambling “Big data” has jumped the shark. Over time Big Data as a term will likely either start to mean everything involving a lot of data (in anybody’s definition of “a lot”), or be replaced with a better term.

Andreessen Horowitz Leads $5.7M Round In Analytics Platform For Hadoop Data Platfora:

Platfora works with existing Hadoop clusters, including Cloudera, MapR, and Amazon EMR, among others, and automatically turns these huge amounts of data into dimensional and predictive dashboards, reports and insights. The company’s server architecture enables sub-second report delivery, analytics overlay, and drill down performance.

I wouldn’t be surprised if the guys building on top of Hadoop made a lot more money than those providing Hadoop itself.

Nati Shalom throws one in for Big Data Application Platforms:

Big Data Application platforms are unique in the sense that they need to be able handle massive amounts of data and therefore need to come with built-in support for things like Map/Reduce, Integration with external NoSQL databases, parallel processing, and data distribution services and on top of that, they should make the use of those new patterns simple from a development perspective.Below is a more concrete list of the specific characteristics and features that define what Big Data Application Platform ought to be. I’ve tried to point to the specific Java EE equivalent API and how it would need be extended to support Big Data application.

via the High Scalability blog.