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DaaS: All content tagged as DaaS in NoSQL databases and polyglot persistence

Standalone Heroku Postgres’ Unanswered Question

While the offer is clear and valuable in itself:

  • 99.99% uptime
  • 99.999999999% (eleven nines) durability
  • read-only asynchronous replicas
  • database cloning

I’ve been reading all posts about the announcement looking for the answer to the most obvious question: why would you use Heroku’s Postgres service from outside the Heroku platform?

As far as I can tell:

  • the network latency will be significant
  • network partitions will occur (more often than having both you application and data in the same DC)
  • transfer costs will be significant

So what is the answer?

Media coverage :

Original title and link: Standalone Heroku Postgres’ Unanswered Question (NoSQL database©myNoSQL)

Traditional SQL DaaS vs NewSQL

Mike Hogan (CEO ScaleDB) provides some very valid issues with traditional relational databases operating as Databases-as-a-Service:

When moving from a self-managed database—either in the cloud or on premise—to a DaaS, the “DBA-in-the-cloud” doesn’t have that visibility into the business requirements, performance requirements, development schedule, and more. This lack of visibility turns the already challenging task of hand-tuning the database into a near impossibility using traditional databases.

And these are just the most visible ones.

On the other hand, I totally agree with Markus ‘maol’ Perdrizat pointing out that NewSQL is not the only solution to these problems:

I agree with the problem positioning, but feel strongly that NewSQL is not a requirement to address the problem here, you can equally work a little services layer and put all the control into the hands of the user, essentially replacing (a lot of) the DBA tasks with automation and APIs.

What NewSQL gives you though, and we see that with Xeround and supposedly also ScaleDB, is the elasticity and transparent sharding that’s difficult to achieve with the more traditional Oracle, Sybase or SQL Server databases that are still often required in the enterprise space.

Original title and link: Traditional SQL DaaS vs NewSQL (NoSQL database©myNoSQL)


Hadoop-Enabled SOA Architectures

John Akred (data and platforms lead at Accenture Technology Labs) for ZDNet:

We take the data infrastructure layer, and take data stores like Hadoop, and the existing enterprise systems that give that data valuable context and integrate those at the data layer. And we abstract that integrated data platform from the consuming applications via service-oriented data access patterns. So we’re exposing our enterprise data platform to the enterprise via services rather than direct query access.

Service oriented architectures aren’t new. But realizing the abstraction of the applications from the data layers via service oriented architectures has not been easy, and in many cases enterprises end up essentially implementing point to point interfaces over service oriented architectures. When you get to the data platform view, its really important to build well-known web services that enable data access, so that application developers are no longer having to understand the performance characteristics and implementation of a database.

This sounds more like data-centric architecture or if you want Data(base)-as-a-Service. Hadoop can be indeed an important part of a Data(base)-as-a-Platform solution on its analytic side.

Original title and link: Hadoop-Enable SOA Architecture (NoSQL database©myNoSQL)


Google Launches Google Cloud SQL a Relational Database as a Service

Google has just announced a new (lab) product: Google Cloud SQL which is Google’s Database-as-a-Service version of Amazon RDS—based on initial information, Google Cloud SQL could be characterized as a very basic/intro version of Amazon RDS.

Main features listed in the announcement:

  • Managed environment
  • High reliability and availability - your data is replicated synchronously to multiple data centers. Machine, rack and data center failures are handled automatically to minimize end-user impact. It also support asynchronous replication
  • Familiar MySQL database environment with JDBC support (for Java-based App Engine applications) and DB-API support (for Python-based App Engine applications). It even support data import and export using mysqldump
  • Simple and powerful integration with Google App Engine.
  • Command line tool
  • SQL prompt in the Google APIs Console

The service is free for now and Google promises a 30 days notice without giving any hints on the pricing model though.

Original title and link: Google Launches Google Cloud SQL a Relational Database as a Service (NoSQL database©myNoSQL)

CloudSpokes: From Microsoft Azure to

CloudSpokes, an Appirio-led community rearchitected their solution from Windows Azure to Salesforce’s

Initially, Messinger said, his team was really happy with Windows Azure’s table storage and blob storage features, but trouble arose when it came to deploying computing resources called “Web Roles.” […]

Additionally, said Messinger, Windows Azure required some level of database-administration know-how, which is something the CloudSpokes didn’t really want to deal with. It wanted to focus on the front end and other business-critical aspects rather than on DBA work. So it looked to, and Messinger and Singh haven’t looked back since beginning the transition in mid-July.

This is the first time I’m reading a scenario where DaaS (database as a service) is explicitely mentioned as the main reason for migrating the architecture of an application.

Original title and link: CloudSpokes: From Microsoft Azure to (NoSQL database©myNoSQL)


The Future of Cloud Services: IDC Report

An IDC Report about the impact of cloud computing on the IT market:

In 2015, public cloud services will account for 46 percent of net new growth in overall IT spending in five key product categories – applications, application development and deployment, systems infrastructure software, basic storage, and servers, according to the report.

Software-oriented cloud services (SaaS) will account for roughly three quarters of all spending on public cloud IT services throughout the forecast. This includes all three software-oriented cloud categories, not just applications. Spending on hardware-oriented cloud services (servers and storage) will be largely driven by SaaS providers building out their infrastructure.

If I read this correctly, there’s now word about Database-as-a-Service.

Original title and link: The Future of Cloud Services: IDC Report (NoSQL database©myNoSQL)


About the MongoLab, MongoDB DaaS, Investment

MongoLab’s offering capitalizes on two important trends we see impacting the vast majority of our portfolio companies:  the rapid adoption of the cloud deployment model and and the increasing use of “Big Data” and NoSQL tools. […] Of the many offerings in the “Big Data” and NoSQL universe, we like the fact that MongoLab has chosen to specialize in 10gen’s MongoDB.  MongoDB’s scalability (in size and read/write volume), its ability to run MapReduce jobs and its accelerating adoption among developers are all compelling aspects of the MongoDB platform.

MongoDB adoption is great.

Original title and link: About the MongoLab, MongoDB DaaS, Investment (NoSQL databases © myNoSQL)