oracle: All content tagged as oracle in NoSQL databases and polyglot persistence
In 2005, Tim O’Reilly said: “data is the next Intel Inside“. Today IDC Mario Morales (VP of semiconductor research) says data is the new currency. All’s good until you read the continuation:
And the companies that understand this are the ones already developing the analytics and infrastructure to extract that value—companies like IBM, HP, Intel, Microsoft, TI, Freescale and Oracle.
The article (nb: may require registration) continues by looking at what each of these companies are doing in the Big Data space, but focuses a large part on IBM Watson.
Going back to the question “who’s leading the Big Data way“, let’s take a quick look at the technology behind Watson. According to Jeopardy Goes to Hadoop and About Watson, Watson technology is based on Apache Hadoop, using an IBM language technology built on the Apache UIMA platform and running Linux on IBM boxes.
To me it looks like open source is leading the advances in Big Data and these large organizations are just connecting the dots (as in packaging these technologies for enterprise environments and contributing missing pieces here and there). When did this happen before?
Original title and link: Data Is the New Currency. But Who’s Leading the Way? ( ©myNoSQL)
It didn’t take long for IBM to follow Oracle’s foray into the NoSQL space by announcing that IBM DB2 and Informix will include NoSQL features.
So, we actually took one of these NoSQL triplestores from the open source [community and] we modified it to sit on top of DB2 so that it can use DB2’s indexing, DB2’s logging, DB2’s solution for high availability [and] and all the things you would expect.
Reports are not very clear yet, but it seems that DB2 NoSQLish features are based on IBM’s Rational Jazz tripplestore solution—an approach similar to Oracle’s NoSQL Database 11G which is based on Oracle’s BerkleyDB Java Edition.
When speculating about Oracle’s future in the NoSQL market I was writing that I expect Oracle to extend the support for NoSQLish interfaces to its core database products. And it looks like IBM is taking exactly this route:
Curt Cotner: “All of the DB2 and IBM Informix customers will have access to that and it will be part of your existing stack and you won’t have to pay extra for it. We’ll put that into our database products because we think that this is [something] that people want from their application programming experience, and it makes sense to put it natively inside of DB2.”
Looking back at these events (Oracle’s NoSQL database, Oracle Big Data appliance, IBM DB2 and Informix supporting NoSQL features), makes me think if and how are these related to the new Enterprise NoSQL trend I’ve mentioned earlier.
Original title and link: IBM DB2 to Include NoSQL Features ( ©myNoSQL)
Oracle Big Data Appliance Sales Pitch
Offering customers an end-to-end solution for Big Data, the Oracle Big Data Appliance, in conjunction with Oracle Exadata Database Machine and the new Oracle Exalytics Business Intelligence Machine, delivers everything customers need to acquire, organize, analyze and maximize the value of Big Data within their enterprise.
What’s in the box?
- Oracle Big Data Appliance: The Oracle Big Data Appliance is an engineered system optimized for acquiring, organizing and loading unstructured data into Oracle Database 11g.
- Oracle Data Integrator Application Adapter for Hadoop: The new Hadoop adapter simplifies data integration from Hadoop and an Oracle Database through Oracle Data Integrator’s easy to use interface.
- Oracle Loader for Hadoop: Oracle Loader for Hadoop enables customers to use Hadoop MapReduce processing to create optimized data sets for efficient loading and analysis in Oracle Database 11g. Unlike other Hadoop loaders, it generates Oracle internal formats to load data faster and use less database system resources.
- Oracle R Enterprise: Oracle R Enterprise integrates the open-source statistical environment R with Oracle Database 11g. Analysts and statisticians can run existing R applications and use the R client directly against data stored in Oracle Database 11g, vastly increasing scalability, performance and security. The combination of Oracle Database 11g and R delivers an enterprise-ready deeply-integrated environment for advanced analytics.
The Oracle Big Data Appliance official page is here.
Oracle Big Data Appliance Market Positioning
Engineered to work together, the Oracle Big Data Appliance is easily integrated with Oracle Database 11g, Oracle Exadata Database Machine, and Oracle Exalytics Business Intelligence Machine. In essence, said oracle, it is designed to deliver extreme analytics on all data types, with enterprise-class performance, availability, supportability and security.
Mendelsohn said the company would pitch the Big Data Appliance as a companion to the Exadata platform and an additional tool for understanding customer behaviour rather than just another repository for information.
“Big is interesting, but traditional warehouses deal with that quite well,” he explained.
Today’s announcement is likely to put pressure on rivals such as Teradata, IBM, SAP, Microsoft and EMC to ramp up their own offerings. The onus is on them to “match and surpass Oracle in their roadmaps, offerings and partnerships,” Kobielus said. “Forrester expects M&A activity in these arenas to ramp up now that Oracle has made these aggressive moves.”
Pricing and a release date for the machine weren’t immediately available on Monday. When available, it will compete with products such as Aster Data, Netezza and Greenplum.
Oracle Big Data Appliance Technical Details
A rack with InfiniBand, full of 2U servers similar to Exadata Storage. No flash storage needed so couple sockets and a dozen of disks will do. Maybe more ram than Exadata storage cells themselves. I suspect you could have as many servers as you want in a configuration but since Hadoop clusters are usually dozens and more nodes, full rack seems reasonable with about 20 Hadoop compute nodes to start with. Real deployments should easily go into multiple racks stacked together.
The underlying hardware for the Big Data Appliance is Oracle’s Exadata x86 clusters, which support a parallel implementation of the Oracle 11g R2 database running on top of Oracle’s RHEL-ish clone of Linux. Oracle Enterprise Linux and Oracle’s twist on the open source Xen hypervisor are the appliance’s underlying layer.
The rack-based appliance will house 18 server systems and will hold up to 432TB of data and 864GB of memory. The appliance will form the basis of the company’s push into the big data management and analysis space.
The Big Data Appliance (BDA) has 18 Sun x4270 M2 servers per rack. As usual, you can add racks together for larger clusters. Each node has 48G RAM, 12 intel cores and 24Tb of storage. Less memory than in the Exadata 2×2 nodes and no SSD indicates that the plan is to hit the spinning magnetic devices a lot for data storage and processing. Not a big deal in Hadoop where this is the design assumption, but not optimal for the NoSQL portion of the device.
In addition there is 40gb/s infiniband and 10g/s Ethernet. The choice of infiniband for Hadoop machine is a bit odd, since Hadoop was designed to do most of the processing on the machine that holds the data and avoid overloading the network. On the other hand, connecting the Hadoop cluster to an Exadata machine with infiniband will allow for fast data loading. Which is exactly what Oracle is after.
ETL can deploy on the Hadoop cluster and you can model that using Oracle Integrator ETL tool and then deploy that on Hadoop MapReduce platform. We provide load balancing and after preprocessing is done, [the loader moves] the data set into Oracle. The finished data set then can be piped into Exalytics for analytic dashboards and reports.
Oracle Big Data Appliance: What does it mean to the market and competitors?
I have been around databases for 20 years, and have tons of respect for Oracle. When someone of their caliber releases a NoSQL solution, it takes us beyond the era of speculation and “niche” and squarely into the mainstream. It validates our work and our passion and paints a very exciting future for big data databases.
Whether you use Oracle or not, today’s announcement moves the big data world forward. We have de facto agreement on Hadoop and R as core infrastructure, and we have healthy competition at the database and NoSQL layer.
In my opinion this is a good thing for alternative database vendors. Competition is already thriving in the sector and I don’t think one more competitor, even one as large as Oracle, will alter the dynamics dramatically. But many customers will take Oracle’s arrival in the space as a sign that this trend is significant and it is a space they should look at. If Oracle’s offering is strong, we may lose some market share to them, but their presence will make it a bigger market.
One of the big issues at play here is whether enterprises want expensive Oracle appliances, open core software running on commodity hardware or pay-as-you-go public cloud services. As Wikibon analyst Jeff Kelley notes, “Ellison knows Oracle needs to have some Hadoop/NoSQL offering, but the open source/commodity hardware/scale-out approach to Big Data is the antithesis of the Oracle way: closed source/Sun-only hardware/scale-up.”
Got big data problems? Got cloud angst? Just put all your worries in a big iron box. At least that’s what I took away after two hours of keynotes from Oracle and EMC executives this morning. Big data and the cloud are euphemisms for huge information management and business challenges, but listening to the keynotes, you’d think it’s just a technical problem. The proliferation of vast amounts of unstructured content and a revolution in IT provisioning models, and even digital dependent revenue streams are not issues to be trifled with. But at the opening of Open World, the dumbing down of these challenges is exactly what happened. The vision communicated is that the solution is that you can put it all in a big data box, or a BI machine.
According to Oracle, the Big Data Appliance is a new system that includes an open source distribution of Apache Hadoop, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R.
My predictions turned true. Almost all.
Original title and link: Oracle Big Data Appliance Roundup: What, Why, How ( ©myNoSQL)
A bit after posting my predictions about the Oracle NoSQL database, I’ve received a link to a PDF introducing the Oracle NoSQL database, embedded below for your reference.
- based on BerkleyDB Java Edition. Thus it is a key-value store
a commercial productavailable as a Community edition and an Enterprise edition
- single-master with multireplicas.
- PAXOS-based automated fail-over master election
- supports configurable consistency policies
- update: there’s no download available yet, the term mentioned being mid-October
Update: There’s an official product page: Oracle NoSQL Database Technical Overview.
Oracle NoSQL database key features:
- Simple Data Model
- Key-value pair data structure, keys are composed of Major & Minor keys
- Easy-to-use Java API with simple Put, Delete and Get operations
- Automatic, hash-function based data partitioning and distribution
- Intelligent NoSQL Database driver is topology and latency aware, providing optimal data access
- Predictable behavior
- ACID transactions, configurable globally and per operation
- Bounded latency via B-tree caching and efficient query dispatching
- High Availability
- No single point of failure
- Built-in, configurable replication
- Resilient to single and multi-storage node failure
- Disaster recovery via data center replication
- Easy Administration
- Web console or command line interface
- System and node management
- Shows system topology, status, current load, trailing and average latency, events and alerts
There’s been a lot of speculation about the announcements coming from Oracle’s OpenWorld event. A first part was revealed during the keynote in the form of an in-memory analytics appliance called Exalytics . But there’s talk about a Big Data Appliance and an Oracle NoSQL database.
Here’re my predictions
Oracle became very aggressive in selling products based on hardware, software, and services. So they’ll announce a Hadoop appliance integrated with an existing Oracle product. It could be either the Oracle Exadata or even the newly announced Exalytics.
This appliance will place Oracle in competition with all other Hadoop appliance sellers: EMC, NetApp, IBM. Also these days most of the analytics databases try to integrate with Hadoop.
Oracle already has a couple of non-relational solutions in their portfolio: BerkleyDB, TimesTen, Coherence. And they’ve already started to test the NoSQL market by announcing the MySQL and MySQL Cluster NoSQL hybrid systems.
I don’t expect Oracle NoSQL database to be a new product. Just a rebranding or repackaging of one of the above mentioned ones. Probably the TimesTen.
Oracle will invest more into integrating its line of products with Hadoop. Having both a Hadoop and an in-memory analytics appliance will make them very competitive in this space.
Oracle will extend the support for NoSQLish interfaces (memcached) to its other database products.
What are your predictions?
Original title and link: The Oracle NoSQL Database and Big Data Appliance ( ©myNoSQL)