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C2090-611 exam Dumps Source : DB2 10.1 DBA for Linux, UNIX, and Windows

Test Code : C2090-611
Test title : DB2 10.1 DBA for Linux, UNIX, and Windows
Vendor title : IBM
: 118 actual Questions

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IBM IBM DB2 10.1 DBA

The most reliable Database-as-a-carrier options of 2018 | killexams.com actual Questions and Pass4sure dumps

what is Database-as-a-carrier (DBaaS)?

after they talk about databases being consumed as cloud functions, we're talking about database-as-a-provider (DBaaS). while this isn't a silver bullet that'll simplify the lives of anyone who requires a database for some project or app construction undertaking, DBaaS isn't most efficacious without difficulty it's very flexible. It has lots of the merits and drawbacks common to different features in the cloud, akin to better charge controls on the one hand however greater restrained points than the on-premises alternative in spite of this. however, it additionally doubles as engine-fashion application that powers a large array of alternative software-as-a-carrier (SaaS) apps, every microscopic thing from at once-connected information visualization gear to firm-spanning industry resource planning (ERP) platforms. however DBaaS is additionally an reply unto itself with professionals and cons exciting to database functionalities.

advantages of DBaaS encompass lower entry barriers, stronger access to applied sciences that Have been previously only in attain for massive agencies, and digitally indigenous use circumstances comparable to internet of things (IoT) records streaming, laptop getting to know (ML) training, and hybrid applications corresponding to an adjunct to computing on the facet.

hazards of DBaaS encompass the typical pressure of databases, the complexity of data science, inflexibilities in integrations, community efficiency concerns, and the complexity that includes giant statistics transfers. if you are relocating sensitive facts between your DBaaS company and a few other website, you will too should bewitch security precautions, which could involve anything from robust id administration protocols to imposing a virtual deepest community (VPN). additionally, there are a considerable number of styles of DBaaS providers from people that finish nothing else to large-scale cloud carrier or internet internet hosting providers for whom a database is only one service out of many. choosing the optimal issuer from among such a listing skill sifting via a long checklist of variables, together with fee, geographic proximity, assist, and even the eventual taks the database is putative to function. each and every of those limitations can lead to the actual want for counsel from a database administrator (DBA) despite the claims of many DBaaS carriers that their systems are self-carrier and person-pleasant.

The bottom line is that records science is never handy, in spite of the fact that the database spin-up and configuration is computerized because it is to 1 diploma or a further in DBaaS offerings. but there are DBaaS items and services that are easier to develop use of than others, and a few are definitely well within the powers of ordinary developers and company analysts.

I conducted the stories in this roundup from the point of view of developers and analysts, and to a lesser diploma, minuscule to midsize corporations (SMBs) with few internal IT resources. The expostulate of this assignment become now not to determine superiority from a strictly technical perspective, however to determine how smartly a typical consumer is likely to live in a position to use the service, devoid of the uphold of a DBA, while silent maintaining the technology's complete benefit. If the stories had been executed in response to technical facets by myself, then the dealer rankings may Have been distinct.

What 'handy to develop use of' truly skill in a DBaaS

As with any other SaaS offering, DBaaS is actually application on a person else's servers. that is unquestionable even in the lamentably named "serverless" fashions. The "convenient to develop use of" consideration here applies to greater than just no matter if or now not the user interface is user-pleasant, but too to birthright here:

  • whether information is offered on which database class or engine matches the facts or workload,
  • How convenient it is to load and transfer statistics,
  • How a lot of the server provisioning and repair configuration is dealt with by using ML and automation, and,
  • How a worthy deal of the backup and healing system is automatic.
  • If the person ought to develop a protracted list of selections with ease to configure the database, then it's no longer truly convenient to develop use of for non-DBAs no reckon how many pull-down menus and rationalization bins the UI has. besides the fact that children, it can live convenient for DBAs to develop use of and that's exceptional, too, however for different purposes and a special variety of review. In different words, for a DBaaS to live a powerful self-service platform, it needs to eliminate the want for a DBA to live arms-on with each microscopic user interaction.

    however, if it is to live an option or hybrid add-on to an on-premises database or even a corporation's basic database (as is commonly the case with cloud-native groups), then being handy for DBAs to develop use of and video panoply may silent live the fundamental issues. for example, if your enterprise has been running an illustration of Microsoft's SQL Server on-premises for some years, and now opts so as to add an instance of Microsoft's Azure SQL Database as a cloud-based mostly backup repository, then most of your conclusion-users will by no means need to contact that example. in the identical vein, if the database's basic chore should live to vigor one more app or workflow, then, again, clients might not frequently need to Have interaction with it at once. after all, as soon as a database is up and working, clients can employ tools corresponding to company intelligence (BI), developer, and DevOps apps to finish the labor they're in fact attracted to. The database is silent in the historical past for every one of these scenarios, and even advanced users other than the DBA will hardly ever should palpate it.

    That observed, ease of use in this overview roundup includes the gross spectrum of functions offered. The carrier lets developers, analysts, and the occasional SMB accepted tech person spin up databases on the fly, with few guidelines and microscopic extra handy than a credit card and an online-linked computer.

    through these parameters, Microsoft Azure SQL Database is the simplest to use, with MongoDB Atlas coming in a detailed 2nd. deciding which of those two Editors' election winners you want to use will Have greater to finish with your information's latest format and the tasks you're working on than ease of use. IBM Db2 on Cloud is too easy to use, however there are a lot of builders who may importune to vary. most of the griping facilities on design restrictions for builders.

    providers aren't equal in terms of the variety of regions provided. Fewer alternate options could present a drawback in some compliance situations with the ecu Union's established information insurance policy legislation (GDPR). They additionally vary in helping compliance with different rules, with some nevertheless working on these issues and others without delay approaching board. One case in element: As of June 2018, MongoDB Atlas is now compliant with the medical insurance Portability and Accountability Act (HIPAA).

    testing versions and the significance of areas

    The assessment of each product includes notations on even if ordeal or free models are available and any boundaries that may too observe. as an example, MongoDB Atlas has a "free perpetually" edition with 512 MB of storage and shared random entry recollection (RAM). IBM Db2 on Cloud has a free developer version with enterprise elements, however express-C, its free industrial edition, lacks superior enterprise features. Paid types vary much less as they are most commonly pegged to storage and computing use in preference to to facets. although, it's crucial to notice which features and regions are available within the a variety of versions before you pick one.

    definitely, if it doesn't Have advanced commercial enterprise facets comparable to IBM Db2 on Cloud's categorical-C edition and you want these, then that edition is never going to figure out. Likewise, you probably Have issues with GDPR to handle, or lots of users each and every over and you really need to eradicate lag on your app, then Microsoft Azure SQL Database's astonishing 50 areas world wide in one hundred forty international locations is going to import as an foul lot as having extra version alternatives does.

    As to your alternatives with esteem to regions, MongoDB Atlas has 56. It makes decent use of the regions from Amazon internet capabilities (AWS), Google Cloud, and Microsoft Azure considering that it's hosted on each and every three. And, counterintuitively, Google BigQuery came in with the least number of regions.

    Being able to select the region location in your database is critical for two explanations. First, because of regulations such as GDPR, you must develop positive about where your information resides (even within the cloud), the position it strikes, and the course it's used. Being in a position to pick the commandeer position on your database is vital to staying GDPR-compliant, notwithstanding you don't Have any European Union (eu) client information or eu employee facts. a number of situations apply birthright here.

    for example, an employee could live American and therefore his data is unaffected by using GDPR. His wife could live European or American however their infant may Have twin citizenship if she or he was born in Europe. So, insurance statistics on them is littered with GDPR. hence, despite the fact that the company has no ecu consumer or european worker records, it nonetheless finds itself needing to live GDPR-compliant. That legislation is significantly advanced. and there is an additional, much more complicated privacy legislation from the eu coming down the pike. it's prudent, hence, to grasp precisely the position your statistics is and what's going on with and to it, whether or now not you deem you should not Have any ecu particular person information to live troubled about.

    The closer your statistics and app are to 1 one other, the stronger the performance—meaning, the shorter the lag and different concerns. you are going to are looking to quest alternatives to installation your app within the identical records middle as your database or colocate your database next to your app.

    types too fluctuate radically between carriers and too inside a lone dealer's product lineup. Some are inexpensive on the front conclusion but rack up prices by using charging you for numerous tools and repair enhancements, corresponding to additional safety or backup and recuperation functions. watch out for that.

    For this evaluate roundup, I in universal used mid-tier-priced check money owed that were install by using the carriers instead of the greater limited ordeal or free-tier versions. from time to time I transferred my very own verify statistics and sometimes I loaded vendor check statistics or worked with their preloaded information units. in many situations, providers supplied credits to ensure I might utterly examine their techniques. on occasion, I validated free developer variations, as I did with SAP Cloud Platform, SAP HANA provider as a result of these are always full-featured ones. In every case, the version I demonstrated is referred to in each assessment writeup.

    SQL or NoSQL?

    another factor making direct comparisons more elaborate during this assessment roundup is within the forms of databases. As each and every records specialists recognize, SQL handles structured information and NoSQL is for unstructured records, notwithstanding that distinction doubtless is rarely obvious to regular users. An illustration of structured information is a spreadsheet whereas an illustration of unstructured facts is the Twitter feed firehose. SQL databases are always called relational databases whereas NoSQL databases are referred to as nonrelational ones.

    besides the fact that children, when it involves DBaaS, the alternate options are more varied than just making a structured versus unstructured statistics decision. for instance, MongoDB Atlas, which is open-source NoSQL, runs on different branded cloud services corresponding to AWS, Google, and Microsoft clouds. Some providers will ebook you during the maze of options on account that their branded DBaaS capabilities offer other product alternate options for different database forms.

    for instance, IBM Db2 on Cloud is SQL, but it will funnel clients at the outset to Cloudant, an IBM NoSQL DBaaS product, or to open-supply databases, reminiscent of MongoDB on IBM, as the uploaded information dictates. it is incredibly advantageous to those with few information science talents or confined realizing.

    In every review, I notice no matter if the DBaaS product is SQL or NoSQL and whether different database alternate options can live organize within the product lineup. With most functions, you are going to need to live awake of from the outset what class of database you want. With a precious few, comparable to IBM Db2 on Cloud, the onboarding process will ebook you to the birthright database.

    here's a quick rule of thumb: if you're working with computing device-readable statistics, then you need SQL. feel spreadsheets and IoT data. If or not it's human suggestions or expressions, then you need NoSQL. feel gregarious media, video facts, and audio facts. live forewarned that every now and then the app will shove you one way, continually admired of SQL. however on occasion conclusion desires will shove you yet another way: NoSQL scales greater, quicker.

    at last, maintain in understanding that ML assists are more advantageous than flogging the records on your own. ML aid is mentioned in the studies as smartly.

  • professionals: characteristic-prosperous. handy to develop use of. a mountainous number of areas for more GDPR-compliance alternate options. No app breakage in transfers. computer getting to know-based mostly auto-tuning means. Can use older SQL applications dating returned to 2005.

    Cons: redress for structured data best because the database is SQL. top notch for advanced queries however unsuitable for messy, human verbal exchange facts.

    final analysis: Microsoft Azure SQL Database is an excellent Database-as-a-service (DBaaS) reply for builders, company analysts, and database directors given its ease of use and exemplary controls.

    examine assessment
  • execs: convenient to develop use of. Open source with efficacious scaling, sharding, serverless, and machine researching capabilities.

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

    bottom line: MongoDB Atlas is a developer's dream database, with a brilliantly measure consumer interface, extra automation than most Database-as-a-carrier (DBaaS) solutions, hundreds flexibility and controls, developed-in replication, and zero lock-in.

    examine review
  • pros: solid and robust. offers clients with lots of controls. Very protection aware.

    Cons: advanced to install and circulation information. Requires assist from a database administrator and a community knowledgeable for setup. elevated priced.

    bottom line: Amazon Relational Database provider is never a beginner-pleasant Database-as-a-service (DBaaS) solution, but with the commandeer authorities helping you out, it's a fine relational database provider.

    read overview
  • pros: magnificent for mountainous records projects. flexible information ingestion. quick evaluation. Integrates neatly with essentially any ilk of data.

    Cons: built for massive facts so it live overkill for minuscule records units. puzzling SQL dialects. Unwieldy fees devoid of proper attention to utensil use and automated scaling. Flat cost pricing works more desirable.

    base line: Google BigQuery is a worthy Database-as-a-service (DBaaS) reply for cloud indigenous corporations and anyone working with laptop researching utility building or handling large sets.

    read review
  • pros: highly convenient facts migration and setup. well designed.

    Cons: Fewer region alternatives, which may repercussion your performance and compliance necessities counting on what you might live doing with the database.

    base line: IBM Db2 on Cloud is a dream Database-as-a-service (DBaaS) solution for builders and enterprise analysts as a result of they can use it devoid of the suggestions of a database administrator, even with minimal abilities.

    examine assessment
  • professionals: super for HANA clients and mountainous information builders. sure, that skill cyber web of things, desktop researching, and Java, too.

    Cons: Having two several developer environments is complicated and doubtlessly restrictive.

    base line: SAP Cloud Platform, SAP HANA provider should mature, however it's nevertheless an impressive and enjoyable Database-as-a-carrier (DBaaS) reply with many essential capabilities.

    read review

  • IBM DB2 Will target Oracle Database developers | killexams.com actual Questions and Pass4sure dumps

    information

    IBM DB2 Will goal Oracle Database builders
  • with the aid of Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a brand modern version of its flagship DB2 database with application in an exertion to provide compatibility with purposes built for Oracle databases.

    Embedded in IBM's approaching DB2 9.7, code-named "Cobra" and slated for liberate in June, is application that offers compatibility with EnterpriseDB Corp.'s Postgres Plus superior Server database, which supports each and every Oracle information types, SQL syntax, semantics and other functions built with Oracle PL/SQL stored techniques. Postgres advanced Server is developed on the open supply PostgreSQL database.

    "The set of applied sciences they Have now introduced will assist builders of custom applications and packaged purposes install to DB2," spoke of Bernie Spang, director of approach, analytics and facts administration for IBM's utility group.

    For IBM, it's the first time the industry has licensed know-how from a issuer of open supply database application, even though EnterpriseDB founder Andy Astor talked about the application embedded in DB2 is based on proprietary code.

    "here's now not an open source play," Astor observed. "every thing else they finish is open supply however that is among the techniques they develop their money, with the aid of selling that compatibility expertise each to carriers relish IBM, in this case, and to users in the sort of Postgres Plus advanced Server."

    EnterpriseDB aspects to a yoke of shoppers together with FTD and Sony on-line entertainment which Have migrated applications developed for Oracle databases to Postgres Plus. The deal with IBM "gives them with proven functionality for enabling compatibility between DB2 and functions written for Oracle," referred to 451 neighborhood analyst Matthew Aslett in an e-mail.

    "Database migrations are advanced, time-ingesting, expensive and infrequent, so any functionality that makes the routine more straightforward is going to live welcomed via these firms that are organized to develop the soar," he delivered.

    The licensing pact is the primary through EnterpriseDB, but Astor observed others are being negotiated.

    IBM is hoping the chase will inspirit greater valued clientele to migrate to its InfoSphere Warehouse 9.7 industry edition, an information-cleansing and enterprise analytics platform in accordance with DB2 and expertise IBM got from Cognos.

    the brand modern release is focused at bringing records mining, analytics and cubing to departments of firms and smaller organizations, Spang observed. additionally modern in DB2 is assist for performing simultaneous transactions throughout XML and relational facts.

    in regards to the creator

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


    IBM gives Away DB2 | killexams.com actual Questions and Pass4sure dumps

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    C2090-611 DB2 10.1 DBA for Linux, UNIX, and Windows

    Study steer Prepared by Killexams.com IBM Dumps Experts


    Killexams.com C2090-611 Dumps and actual Questions

    100% actual Questions - Exam Pass Guarantee with elevated Marks - Just Memorize the Answers



    C2090-611 exam Dumps Source : DB2 10.1 DBA for Linux, UNIX, and Windows

    Test Code : C2090-611
    Test title : DB2 10.1 DBA for Linux, UNIX, and Windows
    Vendor title : IBM
    : 118 actual Questions

    Found an unquestionable source for actual C2090-611 exam questions.
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    Do a quick and smart pass, position together those C2090-611 Questions and answers.
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    Chapter 8, Security from "DB2 9 for Linux, UNIX, and Windows Database Administration Study Guide" | killexams.com actual questions and Pass4sure dumps

    Roger E. Sanders

    DB2 9 for Linux, UNIX, and Windows Database Administration Certification Study steer (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 steer covers each and every areas of the test, providing sample questions for each theme with detailed 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 development 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 skill to identify security methods, authorization levels and privileges, as well as information of label based access control (LBAC).

    Take a gawk 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 actual 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 develop UDB a worthy election for your business.

    This chapter is from the bespeak 

    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. development 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 argue a shift from hierarchical databases&8212;like the Information Management System (IMS) accepted at the time&8212;to the modern relational databases. DB2 development 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 each and every 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 ambit 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 race 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 title to portray the modern capabilities of this version. each and every versions of DB2 on distributed platforms and on MVS, AS/400, VM, and VSE Have adopted the title 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 advert to database servers, "UDB" needs to live 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 use 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 industry Intelligence

    Help customers collect, prepare, manage, analyze, and extract valuable information from each and every data types to wait on them develop more insightful industry decisions faster.

    DB2 Warehouse Manager

    IBM DB2 Information Integrator

    DB2 OLAP Server

    DB2 brilliant 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 each and every residing in one place.

    IBM DB2 Information Integrator

    IBM DiscoveryLink for Life Sciences

    DB2 and IMS Tools

    Automate functions to wait on 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 actual 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 utensil built for existing databases. These enhancements are designed to wait on database professionals identify and pinpoint the root antecedent of unhurried database queries, and optimize database tables to wait on ensure the precipitate of business-critical applications that reckon on them.

    SolarWinds Database Performance Analyzer is designed to deliver deep 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 relish SolarWinds PerfStack dashboard is built to provide additional blocking analysis support, which can wait on users learn where a blocking incident has occurred and the overall repercussion of the action, guiding informed future troubleshooting strategies.

    SolarWinds DPA can live 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 antecedent of unhurried SQL queries. detailed 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 modern index can wait on 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 reflect it provides each and every the data you would need to develop a tuning decision.”

    “Databases are at the crux of application performance and a unhurried database often results in a unhurried application,” said Christoph Pfister, executive vice president of products, SolarWinds. “Solving application performance issues without deep insight into the database is a challenging endeavor at best. SolarWinds DPA 12.0 can wait on database professionals tackle performance problems more quickly and accurately with these modern 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 live 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 ordeal is available.

    Customers will not incur SolarWinds software charges during free two-week cloud trials; however, infrastructure charges may silent 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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