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C2090-541 DB2 9.7 DBA for Linux UNIX and Windows

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C2090-541 exam Dumps Source : DB2 9.7 DBA for Linux UNIX and Windows

Test Code : C2090-541
Test denomination : DB2 9.7 DBA for Linux UNIX and Windows
Vendor denomination : IBM
: 102 real Questions

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IBM IBM DB2 9.7 DBA

The most fulfilling Database-as-a-provider solutions of 2018 | killexams.com real Questions and Pass4sure dumps

what's Database-as-a-provider (DBaaS)?

when they contend databases being consumed as cloud functions, we're talking about database-as-a-carrier (DBaaS). whereas this is rarely a silver bullet that'll simplify the lives of anybody who requires a database for some assignment or app evolution assignment, DBaaS isn't only quite simply it be very flexible. It has lots of the benefits and downsides universal to other capabilities in the cloud, reminiscent of superior cost controls on the one hand but more confined aspects than the on-premises choice on the other hand. although, it additionally doubles as engine-trend application that powers a astronomical array of alternative software-as-a-provider (SaaS) apps, every thing from directly-related statistics visualization tools to firm-spanning commerce resource planning (ERP) structures. however DBaaS is furthermore a solution unto itself with execs and cons unique to database functionalities.

benefits of DBaaS encompass abate entry obstacles, enhanced entry to technologies that were up to now most efficient in attain for huge enterprises, and digitally aboriginal utilize cases comparable to cyber web of things (IoT) statistics streaming, computing device researching (ML) practising, and hybrid functions similar to an adjunct to computing on the aspect.

negative aspects of DBaaS consist of the Popular pressure of databases, the complexity of statistics science, inflexibilities in integrations, network performance concerns, and the complexity that incorporates giant information transfers. when you are relocating choice facts between your DBaaS company and a few different web site, you will furthermore should elect safety precautions, which could contain anything else from robust identity management protocols to implementing a digital inner most network (VPN). furthermore, there are quite a lot of kinds of DBaaS providers from those that result nothing else to huge-scale cloud carrier or internet hosting providers for whom a database is only one provider out of many. identifying the top-rated company from among such a listing potential sifting through a long listing of variables, together with rate, geographic proximity, help, and even the final taks the database is supposed to operate. complete of these barriers can lead to the precise need for assistance from a database administrator (DBA) despite the claims of many DBaaS providers that their systems are self-provider and user-friendly.

The bottom line is that records science is never easy, notwithstanding the database spin-up and configuration is automatic because it is to 1 diploma or another in DBaaS offerings. however there are DBaaS items and features which are simpler to utilize than others, and some are actually well in the powers of universal builders and company analysts.

I performed the experiences during this roundup from the perspective of builders and analysts, and to a lesser diploma, small to midsize groups (SMBs) with few inner IT resources. The goal of this mission was no longer to determine superiority from a strictly technical standpoint, however to identify how neatly a standard consumer is likely to be in a position to utilize the carrier, with out the support of a DBA, whereas still keeping the technology's replete benefit. If the studies had been accomplished based on technical elements alone, then the vendor rankings could tolerate been different.

What 'easy to result utilize of' truly ability in a DBaaS

As with any other SaaS providing, DBaaS is in fact utility on somebody else's servers. it really is genuine even within the unfortunately named "serverless" models. The "easy to use" consideration prerogative here applies to more than just whether or no longer the person interface is person-pleasant, but furthermore to prerogative here:

  • whether suggestions is offered on which database type or engine matches the statistics or workload,
  • How convenient it's to load and transfer facts,
  • How much of the server provisioning and repair configuration is handled by means of ML and automation, and,
  • How tons of the backup and recovery way is computerized.
  • If the user should result an extended listing of choices easily to configure the database, then or not it's no longer in fact effortless to result utilize of for non-DBAs no depend what number of pull-down menus and clarification packing containers the UI has. youngsters, it can be convenient for DBAs to utilize and that's fine, too, however for other functions and a different sort of evaluation. In other phrases, for a DBaaS to be a powerful self-carrier platform, it should eliminate the need for a DBA to be palms-on with each slight consumer interplay.

    however, if it is to be an option or hybrid add-on to an on-premises database and even a corporation's basic database (as is regularly the case with cloud-native companies), then being effortless for DBAs to utilize and monitor should still be the primary issues. as an example, in case your commerce has been operating an illustration of Microsoft's SQL Server on-premises for some years, and now opts to add an instance of Microsoft's Azure SQL Database as a cloud-primarily based backup repository, then most of your end-clients will on no account should touch that illustration. in the equal vein, if the database's basic project should be to vigor another app or workflow, then, again, users won't commonly should engage with it at once. in spite of everything, as soon as a database is up and running, users can result utilize of tools reminiscent of enterprise intelligence (BI), developer, and DevOps apps to result the work they are really interested in. The database remains in the historical past for each one of these situations, and even advanced users other than the DBA will hardly deserve to contact it.

    That referred to, ease of utilize during this overview roundup includes the total spectrum of functions provided. The service lets builders, analysts, and the occasional SMB frequent tech person spin up databases on the fly, with few guidance and slight extra reachable than a bank card and an online-connected desktop.

    by using these parameters, Microsoft Azure SQL Database is the least difficult to use, with MongoDB Atlas coming in an in depth 2d. identifying which of these two Editors' alternative winners you wish to utilize may tolerate extra to result along with your statistics's current structure and the projects you're engaged on than ease of use. IBM Db2 on Cloud is furthermore easy to use, besides the fact that children there are numerous builders who may crave to differ. lots of the griping centers on design restrictions for builders.

    carriers don't look to be equal when it comes to the variety of areas provided. Fewer alternatives could prove a drawback in some compliance eventualities with the european Union's typical information protection regulation (GDPR). They additionally scope in aiding compliance with other rules, with some nevertheless working on these considerations and others at once coming on board. One case in point: As of June 2018, MongoDB Atlas is now compliant with the health insurance Portability and Accountability Act (HIPAA).

    trying out types and the magnitude of areas

    The overview of each product comprises notations on whether trial or free models can be establish and any limitations that might furthermore apply. as an instance, MongoDB Atlas has a "free continually" edition with 512 MB of storage and shared random access reminiscence (RAM). IBM Db2 on Cloud has a free developer version with enterprise facets, but specific-C, its free commercial version, lacks advanced commercial enterprise aspects. Paid types vary less as they are most regularly pegged to storage and computing utilize rather than to features. despite the fact, or not it's essential to be vigilant which elements and regions are available within the numerous versions before you elect one.

    definitely, if it doesn't tolerate advanced commerce features corresponding to IBM Db2 on Cloud's express-C version and furthermore you want those, then that version is never going to work out. Likewise, if in case you tolerate considerations with GDPR to tackle, or lots of users around the world and furthermore you really need to eradicate lag in your app, then Microsoft Azure SQL Database's unbelievable 50 regions around the world in 140 international locations goes to matter as a worthy deal as having more edition alternate options does.

    As to your options with reference to areas, MongoDB Atlas has fifty six. It makes suitable utilize of the areas from Amazon web features (AWS), Google Cloud, and Microsoft Azure considering that it be hosted on complete three. And, counterintuitively, Google BigQuery got here in with the least variety of areas.

    Being able to elect the locality vicinity on your database is essential for two causes. First, on account of laws corresponding to GDPR, you tolerate to result sure about where your records resides (even in the cloud), where it moves, and the way it is used. Being able to elect the remedy vicinity to your database is essential to staying GDPR-compliant, although you don't tolerate any European Union (eu) customer data or ecu worker statistics. a few eventualities succeed prerogative here.

    as an instance, an employee may be American and consequently his statistics is unaffected by using GDPR. His wife can be European or American however their newborn may additionally tolerate twin citizenship if he or she become born in Europe. So, assurance data on them is suffering from GDPR. for this reason, besides the fact that the company has no ecu customer or european employee records, it still finds itself wanting to be GDPR-compliant. That law is severely advanced. and there's one more, even more knotty privacy law from the european coming down the pike. it's prudent, therefore, to understand precisely where your facts is and what's occurring with and to it, even if or no longer you feel you will not tolerate any ecu particular person information to agonize about.

    The nearer your facts and app are to one a different, the greater the performance—that means, the shorter the lag and different considerations. you'll wish to search for alternatives to install your app in the very records core as your database or colocate your database next to your app.

    versions furthermore vary greatly between vendors and additionally inside a single vendor's product lineup. Some are cost-efficient on the front quit however rack up fees with the aid of charging you for a lot of paraphernalia and repair enhancements, equivalent to additional security or backup and restoration functions. be careful for that.

    For this review roundup, I primarily used mid-tier-priced examine money owed that tolerate been install with the aid of the vendors rather than the extra restricted trial or free-tier versions. on occasion I transferred my own check data and sometimes I loaded vendor test facts or labored with their preloaded information sets. in lots of instances, companies provided credits to be certain I might completely test their programs. on occasion, I confirmed free developer editions, as I did with SAP Cloud Platform, SAP HANA carrier as a result of those are always full-featured ones. In every case, the version I established is noted in each and every review writeup.

    SQL or NoSQL?

    a further aspect making direct comparisons extra complicated during this evaluation roundup is within the sorts of databases. As complete statistics professionals recognize, SQL handles structured data and NoSQL is for unstructured statistics, although that astronomical inequity likely is never obvious to universal clients. An instance of structured information is a spreadsheet whereas an illustration of unstructured records is the Twitter feed firehose. SQL databases are constantly referred to as relational databases whereas NoSQL databases are known as nonrelational ones.

    however, when it involves DBaaS, the alternate options are greater numerous than simply making a structured versus unstructured records determination. as an instance, MongoDB Atlas, which is open-source NoSQL, runs on different branded cloud capabilities akin to AWS, Google, and Microsoft clouds. Some providers will lead you during the maze of alternate options on account that their branded DBaaS features offer other product alternate options for different database forms.

    as an example, IBM Db2 on Cloud is SQL, however will funnel users on the outset to Cloudant, an IBM NoSQL DBaaS product, or to open-source databases, reminiscent of MongoDB on IBM, because the uploaded statistics dictates. that is totally advantageous to these with few records science potential or restricted understanding.

    In each and every evaluate, I word whether the DBaaS product is SQL or NoSQL and whether other database options can be establish within the product lineup. With most functions, you are going to need to understand from the outset what category of database you want. With a precious few, such as IBM Db2 on Cloud, the onboarding process will ebook you to the remedy database.

    right here's a short rule of thumb: if you're working with desktop-readable information, then you definately need SQL. believe spreadsheets and IoT information. If it's human suggestions or expressions, then you need NoSQL. believe social media, video data, and audio facts. be forewarned that once in a while the app will propel you a method, constantly admired of SQL. however every so often conclusion desires will propel you one other means: NoSQL scales larger, faster.

    at last, elect into account that ML assists are stronger than flogging the records to your own. ML assist is referred to within the studies as smartly.

  • execs: characteristic-prosperous. convenient to result utilize of. a huge number of areas for more GDPR-compliance alternate options. No app breakage in transfers. laptop learning-based mostly auto-tuning potential. Can utilize older SQL applications relationship returned to 2005.

    Cons: suitable for structured records handiest because the database is SQL. outstanding for advanced queries however unsuitable for messy, human conversation statistics.

    base line: Microsoft Azure SQL Database is a brilliant Database-as-a-service (DBaaS) solution for developers, company analysts, and database directors given its ease of utilize and exemplary controls.

    examine evaluate
  • execs: easy to use. Open supply with powerful scaling, sharding, serverless, and laptop getting to know capabilities.

    Cons: or not it's NoSQL, which is generally unsuitable for advanced queries. Some functions require SQL databases to function, which eliminates NoSQL databases from consideration.

    final analysis: MongoDB Atlas is a developer's dream database, with a brilliantly essential person interface, greater automation than most Database-as-a-carrier (DBaaS) options, hundreds flexibility and controls, constructed-in replication, and nil lock-in.

    read overview
  • pros: responsible and robust. offers clients with quite a lot of controls. Very security aware.

    Cons: complicated to set up and flux records. Requires support from a database administrator and a network skilled for setup. high priced.

    bottom line: Amazon Relational Database provider isn't a beginner-friendly Database-as-a-service (DBaaS) solution, but with the preempt experts helping you out, or not it's an outstanding relational database carrier.

    examine assessment
  • pros: magnificent for big information projects. supple statistics ingestion. mercurial evaluation. Integrates neatly with essentially any classification of records.

    Cons: built for astronomical data so it's overkill for small records units. difficult SQL dialects. Unwieldy expenses devoid of proper consideration to tool utilize and automatic scaling. Flat rate pricing works superior.

    final analysis: Google BigQuery is a superb Database-as-a-carrier (DBaaS) respond for cloud aboriginal organizations and any one working with computing device getting to know software edifice or coping with massive units.

    examine evaluation
  • execs: highly convenient statistics migration and setup. well designed.

    Cons: Fewer dwelling alternate options, which can furthermore influence your efficiency and compliance necessities depending on what you are doing with the database.

    base line: IBM Db2 on Cloud is a dream Database-as-a-service (DBaaS) respond for builders and company analysts as a result of they can utilize it devoid of the advice of a database administrator, even with minimal expertise.

    study assessment
  • pros: outstanding for HANA users and big data builders. yes, that skill web of things, machine learning, and Java, too.

    Cons: Having two diverse developer environments is puzzling and probably restrictive.

    base line: SAP Cloud Platform, SAP HANA service needs to mature, but it's nonetheless an impressive and enchanting Database-as-a-service (DBaaS) solution with many crucial capabilities.

    study review

  • IBM DB2 Will goal Oracle Database developers | killexams.com real Questions and Pass4sure dumps

    news

    IBM DB2 Will target Oracle Database builders
  • through Jeffrey Schwartz
  • 04/24/09
  • IBM this week announced a original version of its flagship DB2 database with application if you want to give compatibility with functions developed for Oracle databases.

    Embedded in IBM's drawing close DB2 9.7, code-named "Cobra" and slated for unencumber in June, is application that offers compatibility with EnterpriseDB Corp.'s Postgres Plus advanced Server database, which helps complete Oracle records varieties, SQL syntax, semantics and different applications constructed with Oracle PL/SQL stored methods. Postgres superior Server is developed on the open supply PostgreSQL database.

    "The set of technologies they tolerate delivered will alleviate developers of custom functions and packaged functions install to DB2," talked about Bernie Spang, director of approach, analytics and records administration for IBM's software community.

    For IBM, or not it's the first time the enterprise has licensed technology from a issuer of open source database utility, though EnterpriseDB founder Andy Astor referred to the utility embedded in DB2 is in keeping with proprietary code.

    "here is now not an open supply play," Astor talked about. "everything else they result is open source however that is likely one of the techniques they result their funds, with the aid of selling that compatibility know-how both to carriers dote IBM, in this case, and to users within the sort of Postgres Plus advanced Server."

    EnterpriseDB aspects to a number of valued clientele including FTD and Sony on-line amusement that tolerate migrated purposes developed for Oracle databases to Postgres Plus. The deal with IBM "offers them with proven performance for enabling compatibility between DB2 and functions written for Oracle," referred to 451 community analyst Matthew Aslett in an email.

    "Database migrations are advanced, time-consuming, expensive and rare, so any functionality that makes the system more convenient is going to be welcomed by those corporations that are organized to result the start," he delivered.

    The licensing pact is the first by means of EnterpriseDB, however Astor pointed out others are being negotiated.

    IBM is hoping the circulate will inspirit greater shoppers to migrate to its InfoSphere Warehouse 9.7 enterprise version, a data-cleaning and enterprise analytics platform in accordance with DB2 and know-how IBM acquired from Cognos.

    the original liberate is centered at bringing information mining, analytics and cubing to departments of corporations and smaller organizations, Spang spoke of. furthermore original in DB2 is alleviate for performing simultaneous transactions throughout XML and relational information.

    in regards to the writer

    Jeffrey Schwartz is govt editor, points, for Redmond Developer information. you could contact him at jschwartz@reddevnews.com.


    DB2: IBM’s original Weapon | killexams.com real Questions and Pass4sure dumps

    No influence discovered, are attempting original key phrase!IBM has already obtained a SAP certification for its DB2 9.7, as a favored SAP implementation database. This aside, IBM and SAP are working together to deliver germane lead for this software and e...

    C2090-541 DB2 9.7 DBA for Linux UNIX and Windows

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    C2090-541 exam Dumps Source : DB2 9.7 DBA for Linux UNIX and Windows

    Test Code : C2090-541
    Test denomination : DB2 9.7 DBA for Linux UNIX and Windows
    Vendor denomination : IBM
    : 102 real Questions

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    DB2 9.7 DBA for Linux UNIX and Windows

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    Chapter 8, Security from "DB2 9 for Linux, UNIX, and Windows Database Administration Study Guide" | killexams.com real questions and Pass4sure dumps

    Roger E. Sanders

    DB2 9 for Linux, UNIX, and Windows Database Administration Certification Study lead (MC Press) Ace the DB2 9 UDB DBA Certification Test (731) with DB2 9 for Linux, UNIX, and Windows Database Administration Certification Study Guide. This comprehensive study lead covers complete areas of the test, providing sample questions for each subject with circumstantial answers. This is an excellent resource for anyone serious about their IBM Certified Database Administrator certification.

    Chapter 8 – Security – author Roger E. Sanders, a DB2 expert involved in the evolution of IBM's DB2 certification exams, focuses on questions that cover the ways DB2 uses to protect data and database objects against unauthorized access and modification. An ability to identify security methods, authorization levels and privileges, as well as knowledge of label based access control (LBAC).

    Take a ogle at this sample chapter.

    This chapter excerpt from DB2 9 for Linux, UNIX, and Windows Database Administration Certification Study Guide, by Roger E. Sanders, is made available from MC Press. October 15, 2007 (ISBN 978-158347-077-0). Copyright © 2007.


    Introduction to DB2 UDB | killexams.com real questions and Pass4sure dumps

    The DB2 Universal Database (UDB) is a cross-platform database system developed by IBM. This chapter introduces the latest version of this software, and enumerates the features that result UDB a suitable choice for your business.

    This chapter is from the engage 

    DATABASE 2 (DB2) Universal Database (UDB) for Linux, UNIX, and Windows is a relational database management system (RDBMS) developed by IBM. Version 8.2, available since September 2004, is the most current version of the product, and the one discussed in this book.

    In this chapter you will learn about:

  • The history of DB2
  • The DB2 portfolio of information management products
  • How DB2 is developed
  • DB2 server editions and clients
  • How DB2 is packaged for developers
  • Syntax diagram conventions
  • Since the 1970s, when IBM Research invented the Relational Model and the Structured Query Language (SQL), IBM has developed a complete family of RDBMS software. evolution started on mainframe platforms such as Virtual Machine (VM), Virtual Storage Extended (VSE), and Multiple Virtual Storage (MVS). In 1983, DB2 for MVS Version 1 was born. "DB2" was used to testify a shift from hierarchical databases&8212;like the Information Management System (IMS) Popular at the time&8212;to the original relational databases. DB2 evolution continued on mainframe platforms as well as on distributed platforms. [1]Figure 1.1 shows some of the highlights of DB2 history.

    In 1996, IBM announced DB2 UDB Version 5 for distributed platforms. With this version, DB2 was able to store complete kinds of electronic data, including traditional relational data, as well as audio, video, and text documents. It was the first version optimized for the Web, and it supported a scope of distributed platforms&8212;for example, OS/2, Windows, AIX, HP-UX, and Solaris&8212;from multiple vendors. Moreover, this universal database was able to hasten on a variety of hardware, from uniprocessor systems and symmetric multiprocessor (SMP) systems to massively parallel processing (MPP) systems and clusters of SMP systems. IBM included the term "Universal" in the denomination to limn the original capabilities of this version. complete versions of DB2 on distributed platforms and on MVS, AS/400, VM, and VSE tolerate adopted the denomination DB2 UDB.

    Today, DB2 represents a portfolio of information management products. Table 1.1 shows the DB2 Information Management portfolio and the product offerings under each classification. To specifically refer to database servers, "UDB" needs to be added to the name, as in DB2 UDB . In most books and documents, including this one, the terms "DB2" and "DB2 UDB" are used interchangeably. Unless otherwise noted, when they utilize any one of these terms in this book, they are referring to DB2 running on Linux, UNIX, or Windows.

    Table 1.1. DB2 Information Management Products

    Information Management Products

    Description

    Product Offerings

    Database Servers

    Store electronic data and enable the sharing of information across multiple platforms.

    IBM DB2 UDB

    IBM Informix

    IBM IMS

    IBM Red Brick Warehouse

    IBM U2

    IBM Cloudscape

    DB2 commerce Intelligence

    Help customers collect, prepare, manage, analyze, and extract valuable information from complete data types to alleviate them result more insightful commerce decisions faster.

    DB2 Warehouse Manager

    IBM DB2 Information Integrator

    DB2 OLAP Server

    DB2 quick-witted Miner

    DB2 Text Miner

    DB2 Search Extender

    DB2 UDB Data Warehouse Edition

    DB2 Cube Views

    Query Patroller

    DB2 Content Management

    Manage content (unstructured data) such as images, digital media, word processing documents, and Web content.

    IBM DB2 Content Manager

    IBM DB2 CommonStore

    IBM DB2 CM OnDemand

    IBM DB2 Document Manager

    IBM DB2 Records Manager

    DB2 Information Integration

    Bring together distributed information from heterogeneous environments. Companies view their information as if it was complete residing in one place.

    IBM DB2 Information Integrator

    IBM DiscoveryLink for Life Sciences

    DB2 and IMS Tools

    Automate functions to alleviate companies reduce administrative costs.

    IMS & DB2 Tools & Utilities

    DB2 Multiplatform Tools


    SolarWinds Database Performance Analyzer 12.0 introduces query performance analyzer, table tuning advisor for workload optimization | killexams.com real questions and Pass4sure dumps

    SolarWinds, provider of IT management software, announced this week availability of SolarWinds Database Performance Analyzer (DPA) 12.0, a database and query performance monitoring, analysis, and tuning tool built for existing databases. These enhancements are designed to alleviate database professionals identify and pinpoint the root occasions of slack database queries, and optimize database tables to alleviate ensure the speed of business-critical applications that trust on them.

    SolarWinds Database Performance Analyzer is designed to deliver abysmal visibility into the performance of databases in hybrid environments – on-premise, virtualized, and in the cloud. SolarWinds DPA provides actionable insights for database professionals through two brand-new features, Table Tuning Advisor and Query Performance Analyzer.

    SolarWinds DPA is designed to provide seamless integration with SolarWinds network and systems tools, including Network Performance Monitor (NPM) and Server & Application Monitor (SAM). Integration with features dote SolarWinds PerfStack dashboard is built to provide additional blocking analysis support, which can alleviate users ascertain where a blocking incident has occurred and the overall impact of the action, guiding informed future troubleshooting strategies.

    SolarWinds DPA can be deployed on Windows or Linux, and monitors physical and virtualized databases located on-premise or in the cloud, including Microsoft SQL Server, Oracle, MySQL, MariaDB, IBM DB2 for Linux, Unix and Windows (LUW), SAP Adaptive Server Enterprise (SAP ASE), as well as Platform as a Service (PaaS) databases, including Microsoft Azure DB, Amazon RDS and Aurora.

    Query Performance Analyzer can assist users in pinpointing the root occasions of slack SQL queries. circumstantial query profile data is intelligently displayed in one view, which can reduce the amount of time spent sourcing and correlating information.

    The Table Tuning Advisor is designed to proactively provide a solution to one of the most challenging aspects of database management: indexing. SolarWinds DPA Table Tuning Advisor helps identify and validate index opportunities by monitoring workload usage patterns, and then making recommendations to users of where a original index can alleviate optimize inefficiencies.

    “Table Tuning Advisor answers about 99 percent of what I want to know,” said Dale Fanning, director, database & systems engineering, Regent University. “I Think it provides complete the data you would need to result a tuning decision.”

    “Databases are at the crux of application performance and a slack database often results in a slack application,” said Christoph Pfister, executive vice president of products, SolarWinds. “Solving application performance issues without abysmal insight into the database is a challenging endeavor at best. SolarWinds DPA 12.0 can alleviate database professionals tackle performance problems more quickly and accurately with these original features, which are designed to identify exactly where to focus tuning and indexing efforts to optimize the performance of their environments and reduce manual processes.”

    SolarWinds Database Performance Analyzer can be deployed to on-premise and hosted Windows or Linux servers, or easily provisioned to Microsoft Azure from the Microsoft Azure Marketplace. Pricing for SolarWinds Database Performance Analyzer for Azure SQL Databases in the Microsoft Azure Marketplace starts at US$695 per database license (perpetual, BYOL). A fully functional two-week trial is available.

    Customers will not incur SolarWinds software charges during free two-week cloud trials; however, infrastructure charges may still apply. Pricing for other versions of SolarWinds Database Performance Analyzer starts at $1,995 per database instance, and pricing includes the first year of maintenance (licenses are perpetual with a related maintenance fee).



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