Entries from September 2013 ↓
September 30th, 2013 — Data management
Three reasons why Nirvanix failed. And more
And that’s the data day, today.
September 25th, 2013 — Data management
Who is responsible for managing Hadoop clusters within your organisation? That’s one of the primary questions being asked in the 451 Research 2013 Hadoop survey.
While many organisations are adopting or evaluating Hadoop, our research to date indicates that much of that adoption is tactical rather than strategic at this stage.
As such much of the adoption is led by functional business units (particularly the marketing department), rather than the central IT organisation.
However, as adoption of Hadoop grows, we increasingly see central IT departments looking to standardise their approach to Hadoop with reference configurations and strategic relationships with key suppliers.
The early responses to our Hadoop survey are therefore interesting: so far a higher proportion of respondents indicate that the central IT department is (or will be in the case of those in the process of adoption) responsible for managing Hadoop clusters within their organisation.
This is quite surprising to us. We’ll have to dig into the results to evaluate properly once the survey closes, but interestingly the early results show that the proportion indicating that the central IT department is/will be responsible for managing Hadoop is significantly higher among respondents that are still in the process of evaluating and deploying Hadoop, compared to those that already have deployments up and running.
This would suggest that the next generation of Hadoop adopters are taking a more strategic view of the data processing platform.
To give your view on this and other questions related to the adoption of Hadoop, please take our 451 Research 2013 Hadoop survey.
September 19th, 2013 — Data management
Splunk acquires BugSense. Recommind raises $15m from SAP Ventures. And more
And that’s the data day, today.
September 18th, 2013 — Data management
What is your preferred infrastructure for Hadoop deployments? That’s one of the primary questions being asked in the 451 Research 2013 Hadoop survey. The answer will have significant implications for the future direction of Hadoop.
While one of the primary benefits of Hadoop – low cost data storage – means that for many organisations the primary infrastructure for Hadoop has been commodity hardware, many systems and storage vendors now offer their own dedicated appliances and/or reference architecture for Hadoop.
We expect to see more of these dedicated Hadoop configurations as the incumbent infrastructure vendors look to cash-in on Hadoop adoption and try to add greater value.
We also see some companies exploring the potential for Hadoop in the cloud, as well as hosted deployments, and on virtual infrastructure – although those are arguably in the early stages of technical maturity, and adoption.
Which infrastructure configurations are most popular? That’s one of the things our survey is designed to find out. The early results perhaps unsurprisingly indicate a greater preference for Hadoop being deployed on commodity hardware. However, cloud and virtual deployments have also scored well.
Interestingly, the early results show the preference for Hadoop on cloud infrastructure is significantly higher among respondents that are still in the development and test stage with Hadoop, which supports our anecdotal evidence about the use-cases for Hadoop in the cloud.
In order to get a little more detail on deployment preferences, the survey also asks about the level of consideration, testing and adoption for dedicated Hadoop hardware and Hadoop-as-a-service offerings respectively.
Among the choices in the dedicated hardware category are offerings from DataDirect Networks, Dell, HP, Oracle, IBM, Pivotal, Teradata, Cisco and NetApp.
The choices in the Hadoop-as-a-service category include Altiscale, Amazon EMR (including MapR), MapR on Google Compute Engine, Microsoft Windows Azure HDInsight Service, Mortar Data, Qubole, Rackspace Big Data, SunGard Unified Analytics Services and Treasure Data.
To give your view on this and other questions related to the adoption of Hadoop, please take our 451 Research 2013 Hadoop survey.
September 13th, 2013 — Data management
Google confirms move to MariaDB. SAP acquires KXEN. And more.
And that’s the data day, today.
September 10th, 2013 — Data management
What is the relationship between Hadoop and the data warehouse? That’s one of the primary questions being asked in the 451 Research 2013 Hadoop survey. Through our conversations with Hadoop users to date we’ve seen that the answer to that question differs from company to company, depending on how far advanced they are in terms of their adoption.
For the most part we see that Hadoop is being used for workloads that were not previously on the data warehouse as part of a strategy of storing, processing and analyzing data that was previous ignored due to being unsuitable – either in terms of cost or data format – for analysis using a relational data warehouse.
However, we also see some companies taking advantage of the cost advantages of storing data in Hadoop to offload workloads from the data warehouse, either temporarily or permanently.
And at the other end of the spectrum we also see companies in which Hadoop is being used, or at least considered at this stage, as a replacement for the data warehouse.
Which use-cases are most popular? That’s one of the things our survey is designed to find out. The early results indicate a greater preference for Hadoop being used for workloads that were not previously on the data warehouse and also Hadoop being used to permanently migrate some workloads from the data warehouse, but it is still early stages.
While that accounts for the way in which Hadoop is being used today, it doesn’t get to the heart of the long-term potential for Hadoop in relation to the data warehouse. Therefore, the survey also asks about the long-term potential to replace the data warehouse.
Again we see a spectrum of strategies in action, from some companies planning for Hadoop to eventually completely replace the data warehouse, through some moving the majority of workloads to Hadoop, through others moving a minority of workloads to Hadoop, to those that believe Hadoop will never replace the data warehouse.
Again the early survey results are interesting, with ‘a minority of workloads will move to Hadoop’ and ‘Hadoop will never replace the data warehouse’ the most popular answers at this early stage.
To give your view on this and other questions related to the adoption of Hadoop, please take our 451 Research 2013 Hadoop survey.
September 9th, 2013 — Data management
I’ll be taking part in a webinar on Thursday, September 19th at 1pm EST to discuss MySQL scalability and typical use-cases.
How can you scale MySQL-based applications to handle more users, more data and more transactions? How can you build scalability into new app design? How can you scale existing apps without disrupting your MySQL ecosystem?
Specifically I will be discussing:
– MySQL scalability limits with existing In-house & Amazon hosted apps
– Building new apps with MySQL scalability in mind.
– Getting beyond DIY sharding limitations
I will be joined by Doron Levari, from ScaleBase, who will discuss how ScaleBase enables applications to leverage multiple MySQL instances working together as one.
For further details, and to register, click here.
September 6th, 2013 — Data management
Where database startups go to die. And more.
And that’s the data day, today.
September 5th, 2013 — Data management
If you’re using or considering using Hadoop, please help shape our understanding of global Hadoop usage by taking our 2013 Hadoop survey, which can be found at http://www.surveymonkey.com/s/451Hadoop
The aim of this survey is to identify trends in Hadoop usage, as well as attitudes to Hadoop as it relates to data warehousing.
There are a minimum of 15 questions to answer, and a maximum of 24 (including three optional questions) depending on your organisation’s level of adoption, and the entire survey should take no longer than fifteen minutes to complete.
Some of the specific aspects covered by the survey are:
- Current and planned Hadoop usage
- Responsibility for managing Hadoop clusters
- Preferred infrastructure for Hadoop deployments
- Hadoop and the data warehouse
- Potential Hadoop improvements
- Hadoop-as-a-Service
- Hadoop hardware
- Alternative file systems
- SQL-on/in-Hadoop
All individual responses are of course confidential. The results will be published as part of a major research report due during Q4 which will include market sizing estimates for the analytic database sector, as well as Hadoop. The full report will be available to 451 Research clients, while the results of the survey will also be made freely available.
Thank you in advance for your participation.
http://www.surveymonkey.com/s/451Hadoop
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