Big Data. Big Decisions
InformationWeek
Special Coverage Series


Rollout: We Put Microsoft Data Protection Manager To The Test

DPM 2007 is a credible entry, as long as you're backing up only Microsoft applications.

Microsoft relied on third parties for enterprise backup and disaster recovery of Windows server products until a few years ago. The first iteration of Data Protection Manager was fraught with inadequacies, including an inability to take snapshots of the Exchange Information Store without first shutting down the store. Backup and recovery over a WAN was also problematic, and bare-metal restores of servers were extremely cumbersome.

Fast-forward to the recent release of Microsoft System Center Data Protection Manager 2007. Testing in our Boston Real-World Labs showed that many weaknesses have been addressed, while some previous strengths have been further improved. If you're primarily a Microsoft shop, it's worth a look.

DPM provides backup and recovery for Exchange 2003 and 2007, SQL Server, SharePoint, Windows Server and Virtual Server, and Windows XP and Vista. Leveraging the Volume Shadow Copy Service, DPM takes a full snapshot of the application database. Then, in intervals of up to 15 minutes, it sends only block-level file and database changes to the DPM Server.

DPM can perform lossless recovery for SQL and Exchange, letting IT restore data close to the exact point of failure using a combination of snapshots and transaction logs. In lossless recovery, the most recent interval snapshot is restored, all transaction logs are automatically replayed and applied to the database, and the database is mounted online and ready for production. Note that if the partition containing your database is completely lost, DPM can help only if you've kept your log files and database volumes separate. If you've put your logs and database on the same volume, and you lose that volume, you'll have no transaction logs to play forward and will be stuck using the database contained in the most recent snapshot.

THE UPSHOT
CLAIM:  Microsoft touts Data Protection Manager 2007 as an easy, scalable way to enable continuous backup and recovery of Microsoft server apps. This release addresses shortcomings in full restores; continuous backup and restore of Exchange, SQL, and SharePoint; and the ability to back up and restore branch office servers over a WAN.

CONTEXT:  Symantec Backup Exec is not only the market leader, it's also application- and operating system-agnostic. But DPM is less expensive and provides all the necessary backup/restore functions for Microsoft-only environments.

CREDIBILITY:  The second generation of Microsoft's DPM is much improved. However, it does require a significant application infrastructure and effort to put into production. Look elsewhere if you need multi-OS support.

Because e-mail is a critical application, we put DPM to the test in an Exchange 2003 environment. We deployed the DPM Agent software to the Exchange server in our lab. Thankfully, the DPM backup agent is a single, integrated component, so only one agent is required to protect SQL, Exchange, and SharePoint, and the DPM management console can centrally deploy the agent software to many machines simultaneously.

DPM's intelligence was evident during client setup. In the case of Exchange, we followed best practices by separating our log file directory from our operating system and mail store volume. DPM interrogated the Exchange processes to automatically detect the paths to our Exchange transaction logs, OS, and mail stores. After setup, we configured DPM to take snapshots of our mail store every 15 minutes and save them to a separate backup volume, with a daily off-load to secondary tape storage.

To test Exchange lossless recovery, we sent e-mail to our test client in between snapshot intervals, and then pulled the plug. In theory, all incoming e-mail hits our information store and is recorded in the Exchange transaction logs until a full backup comes along and flushes the transaction logs. By pulling the plug between snapshots, we forced DPM to prove that it could restore each individual message using a combination of transaction log data and the last available snapshot of our mail store.

DPM's restore procedure runs as follows: It automatically dismounts the mail store, performs the restore, plays forward the transaction logs, and remounts the mail store. The messages we sent between backups were there--DPM passed the lossless recovery test.

Microsoft claims this lossless recovery is a unique feature, so we did some fact checking and found that Symantec Backup Exec supported the same lossless recovery option back in version 10d.

In addition, Backup Exec can drill down and browse individual mailbox folders, even individual messages, through the management GUI. DPM can't, and the lack of this capability may cause problems for Exchange admins who need to restore individual messages on an ad hoc basis.

DPM handled SQL and SharePoint restores similarly well. The hardest part of testing these features was properly identifying and installing the prerequisite software needed to get DPM to properly back up SQL and SharePoint. Despite Microsoft's claims that DPM is designed to enable Exchange, SQL, and SharePoint admins to do their own restores, we found DPM sufficiently complex that we question the wisdom of that concept.

 1 | 2  | Next Page »


Related Links

Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.