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000-546 DB2 9.7 Database Administrator for Linux UNIX or Windows Upgrade

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000-546 exam Dumps Source : DB2 9.7 Database Administrator for Linux UNIX or Windows Upgrade

Test Code : 000-546
Test title : DB2 9.7 Database Administrator for Linux UNIX or Windows Upgrade
Vendor title : IBM
: 78 real Questions

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IBM DB2 9.7 Database Administrator

IBM Db2 query Optimization the usage of AI | real Questions and Pass4sure dumps

In September 2018, IBM introduced a recent product, IBM Db2 AI for z/OS. This ersatz intelligence engine displays information entry patterns from executing SQL statements, uses computer gaining learning of algorithms to select foremost patterns and passes this counsel to the Db2 question optimizer to be used by means of subsequent statements.

desktop getting to know on the IBM z Platform

In can likewise of 2018, IBM introduced version 1.2 of its computer discovering for z/OS (MLz) product. here is a hybrid zServer and cloud software suite that ingests performance statistics, analyzes and builds models that characterize the health repute of quite a few indications, displays them over time and offers true-time scoring capabilities.

a few features of this product providing are aimed at assisting a community of mannequin developers and executives. as an instance:

  • It helps dissimilar programming languages such as Python, Scala and R. This makes it possible for records modelers and scientists to earn exhaust of a language with which they're commonplace;
  • A graphical consumer interface called the visual model Builder guides mannequin builders devoid of requiring enormously-technical programming potential;
  • It contains numerous dashboards for monitoring mannequin consequences and scoring capabilities, as well as controlling the gadget configuration.
  • This computing device discovering suite changed into at first aimed at zServer-based mostly analytics functions. one of the crucial first obtrusive selections was zSystem performance monitoring and tuning. device administration Facility (SMF) information that are immediately generated by artery of the working device deliver the uncooked records for device resource consumption such as significant processor usage, I/O processing, reminiscence paging and the like. IBM MLz can compile and store these records over time, and construct and educate fashions of device behavior, score those behaviors, identify patterns no longer readily foreseen by people, develop key performance indications (KPIs) and then feed the mannequin effects returned into the gadget to palpate materiel configuration adjustments that can augment efficiency.

    The next step become to assign in coerce this suite to dissect Db2 performance facts. One answer, referred to as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the laptop learning know-how to Db2 operational information to profit an figuring out of Db2 subsystem fitness. it will probably dynamically build baselines for key performance symptoms, provide a dashboard of these KPIs and give operational workforce actual-time insight into Db2 operations.

    whereas commonplace Db2 subsystem performance is an censorious aspect in criterion software fitness and efficiency, IBM estimates that the DBA aid corpse of workers spends 25% or extra of its time, " ... combating access route problems which trigger efficiency degradation and service affect.". (See Reference 1).

    AI comes to Db2

    trust the plight of concurrent DBAs in a Db2 environment. In cutting-edge IT world they must aid one or more sizable facts applications, cloud application and database capabilities, utility installation and configuration, Db2 subsystem and application efficiency tuning, database definition and administration, catastrophe restoration planning, and more. question tuning has been in being considering that the origins of the database, and DBAs are continually tasked with this as neatly.

    The coronary heart of query course analysis in Db2 is the Optimizer. It accepts SQL statements from purposes, verifies authority to access the data, studies the locations of the objects to be accessed and develops a listing of candidate statistics entry paths. These access paths can consist of indexes, table scans, quite a lot of desk be section of methods and others. in the statistics warehouse and massive statistics environments there are continually further decisions attainable. One of those is the being of abstract tables (from time to time known as materialized question tables) that contain pre-summarized or aggregated facts, thus permitting Db2 to avoid re-aggregation processing. a further option is the starjoin access path, generic within the information warehouse, where the order of desk joins is modified for performance motives.

    The Optimizer then experiences the candidate entry paths and chooses the access path, "with the bottom charge." can impregnate during this context capacity a weighted summation of useful resource usage together with CPU, I/O, memory and other components. finally, the Optimizer takes the bottom impregnate access course, retailers it in reminiscence (and, optionally, within the Db2 directory) and begins entry path execution.

    massive records and facts warehouse operations now consist of utility suites that permit the company analyst to exhaust a graphical interface to construct and exploit a miniature data mannequin of the statistics they are looking to analyze. The programs then generate SQL statements according to the clients’ requests.

    The issue for the DBA

    so as to execute first rate analytics for your multiple statistics outlets you want an excellent realizing of the data necessities, an knowing of the analytical services and algorithms purchasable and a excessive-performance facts infrastructure. regrettably, the number and placement of data sources is expanding (both in dimension and in geography), data sizes are growing, and applications proceed to proliferate in quantity and complexity. How should quiet IT managers aid this environment, in particular with probably the most skilled and ripen team of workers nearing retirement?

    remember likewise that a big section of reducing the overall can impregnate of possession of those programs is to accumulate Db2 functions to race quicker and more effectively. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting much less information throughout the community. considering it's commonly intricate to even determine which applications may odds from performance tuning, one strategy is to automate the detection and correction of tuning concerns. here is where desktop gaining learning of and ersatz intelligence can likewise be used to super effect.

    Db2 12 for z/OS and ersatz Intelligence

    Db2 edition 12 on z/OS uses the computer researching amenities mentioned above to acquire and shop SQL query text and entry route particulars, in addition to exact performance-connected dilapidated information comparable to CPU time used, elapsed instances and outcomes set sizes. This offering, described as Db2 AI for z/OS, analyzes and retailers the records in machine gaining learning of models, with the model analysis effects then being scored and made accessible to the Db2 Optimizer. The subsequent time a scored SQL commentary is encountered, the Optimizer can then exhaust the mannequin scoring statistics as input to its entry route choice algorithm.

    The influence should be a reduction in CPU consumption as the Optimizer uses mannequin scoring input to select improved access paths. This then lowers CPU prices and speeds software response instances. a major competencies is that using AI application doesn't require the DBA to occupy information science odds or profound insights into query tuning methodologies. The Optimizer now chooses the most useful entry paths based no longer best on SQL query syntax and data distribution facts however on modelled and scored ancient performance.

    This can likewise be primarily essential if you store information in distinctive places. as an instance, many analytical queries against massive statistics require concurrent entry to part facts warehouse tables. These tables are frequently called dimension tables, and they embrace the information aspects constantly used to control subsetting and aggregation. as an instance, in a retail atmosphere accept as proper with a table called StoreLocation that enumerates each save and its vicinity code. Queries towards preserve income statistics may additionally wish to blend or summarize sales by artery of area; hence, the StoreLocation table can be used through some sizable information queries. during this atmosphere it's tolerable to buy the dimension tables and duplicate them continuously to the massive information utility. within the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now suppose about SQL queries from each operational applications, information warehouse users and big statistics traffic analysts. From Db2's perspective, every solitary these queries are equal, and are forwarded to the Optimizer. youngsters, in the case of operational queries and warehouse queries they may quiet absolutely be directed to entry the StoreLocation desk in the warehouse. nonetheless, the question from the company analyst towards sizable information tables should quiet doubtless entry the replica of the desk there. This consequences in a proliferations of competencies access paths, and extra labor for the Optimizer. luckily, Db2 AI for z/OS can deliver the Optimizer the suggestions it should earn sensible entry path choices.

    how it Works

    The sequence of routine in Db2 AI for z/OS (See Reference 2) is frequently prerogative here:

  • throughout a bind, rebind, assign together or justify operation, an SQL commentary is passed to the Optimizer;
  • The Optimizer chooses the records entry direction; because the option is made, Db2 AI captures the SQL syntax, access path choice and question efficiency statistics (CPU used, and so on.) and passes it to a "studying assignment";
  • The researching task, which will likewise be achieved on a zIIP processor (a non-ordinary-intention CPU core that does not aspect into application licensing fees), interfaces with the laptop learning application (MLz mannequin features) to shop this counsel in a mannequin;
  • because the volume of data in each model grows, the MLz Scoring carrier (which can likewise be performed on a zIIP processor) analyzes the mannequin facts and rankings the conduct;
  • right through the subsequent bind, rebind, prepare or clarify, the Optimizer now has entry to the scoring for SQL fashions, and makes acceptable adjustments to entry route selections.
  • There are likewise a lot of user interfaces that supply the administrator visibility to the fame of the gathered SQL observation performance statistics and mannequin scoring.


    IBM's machine researching for zOS (MLz) providing is being used to remarkable repercussion in Db2 version 12 to better the efficiency of analytical queries as well as operational queries and their linked functions. This requires management consideration, as you occupy to check that your enterprise is prepared to ingest these ML and AI conclusions. How will you measure the prices and merits of the usage of machine discovering? Which IT aid group of workers ought to be tasked to reviewing the outcomes of model scoring, and maybe approving (or overriding) the results? How will you review and justify the assumptions that the software makes about entry path decisions?

    In other phrases, how neatly did you know your records, its distribution, its integrity and your latest and proposed entry paths? this can assess where the DBAs spend their time in supporting analytics and operational software efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 distinguished EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 application performance with desktop getting to know"

    Reference 2

    Db2 AI for z/OS

    See every solitary articles via Lockwood Lyon

    customers switch to IBM DB2 Database application to fulfill statistics Intensive demands of their businesses | real Questions and Pass4sure dumps

    a brand recent wave of customers and enterprise companions in industries reminiscent of healthcare, power and economic markets occupy made the switch from competitive systems to IBM DB2 database application to answer facts intensive calls for of their agencies.  To further accelerate up this momentum, IBM currently announced a recent feature that makes it possible for purchasers to extra conveniently movement their purposes written for Sybase ASE to DB2 - including to the support for Oracle Database purposes brought closing yr.

    clients reminiscent of BJC Healthcare and Pep Boys are already checking out the feature to stream their trade applications from Sybase ASE to DB2 to aid cleave back IT charges and achieve typical stronger efficiency.

    moreover, in exactly the previous 365 days, more than 500 partners together with Synopsis SA, Perficient, Inc. and Odyssey economic technologies Inc. occupy adopted or migrated to DB2 because of its ease of use, diminish charges and more suitable ROI for his or her valued clientele.  

    latest pecuniary circumstances are riding corporations to consolidate and standardize their IT environments with lower charge, power-productive, more scalable infrastructure.  corporations in every solitary industries can occupy up to thousands of functions and dozens of database management systems that deserve to occupy interaction with one one other, which are either bought or got via an acquisition.  These programs create redundant hardware, application, administration -- expanding IT charges.

    on the grounds that the free up of DB2 9.7, a becoming number of valued clientele occupy moved their applications from Oracle Database to DB2, in some situations, in a matter of days, to profit more efficiencies and cleave back charges linked to managing their IT infrastructure.  they occupy got benefited from piquant DB2 improvements reminiscent of pureScale working on IBM energy methods, that helps valued clientele enhance their database transaction skill whereas reducing the risk and charge of growing to be their IT methods.

    For consumers pathetic purposes from Sybase ASE, this recent SQL epidermis characteristic makes DB2 the best option for quickly reducing their operational expenses for you to earn investments extra on transforming into their enterprise through strategic initiatives equivalent to analytics.   This utterly built-in capability changed into jointly developed with ANTs application inc. (OTCBB:ANTS), a number one issuer of database migration solutions. This development began greater than two years in the past and early adopter consumers occupy participated in a beta program seeing that late 2009.

    "We regard the pressures valued clientele puss to augment the habitual performance of their companies streamline their techniques while additionally cutting back expenses,ˇ talked about Arvind Krishna, generic manager, IBM counsel administration.   "Our continued funding in setting up creative technologies such because the recent SQL dermis is a lucid demonstration of their commitment to assisting customers meet these challenges."

    "we're pleased with this partnership with IBM," pointed out Joseph Kozak, Chairman and CEO, ANTs application inc. "IBM's global achieve and assist coupled with the unrivaled technology and value merits delivered by ANTs improvements creates an impressive recent providing for world businesses.  In huge economic capabilities and telecommunications markets, where can impregnate notice downs is a tremendous priority, the cost of without delay pathetic to DB2 can likewise be compelling for companies focused on cutting back fees."

    IBM certified superior Database Administrator | real Questions and Pass4sure dumps

    This seller-specific Certification is obtainable by artery of:IBM CorporationArmonk, the sizable apple USAPhone: 914-499-1900Email: This e-mail address is being blanketed from spambots. You want JavaScript enabled to view it.

    skill stage: superior                          fame: energetic

    comparatively cheap: $200 (shortest tune)               

    summary:for people who occupy extensive journey as a DBA and extensive skills of DB2 widespread Database.

    preliminary requirements:You ought to be an IBM certified Database Administrator and pass between one and two further exams ($200 each). currently, there is only one tune obtainable: DB2 (9.7) for Linux UNIX and home windows. practicing is attainable but now not requirerd.

    carrying on with necessities:None certain

    Pay Chart:

    See every solitary Ibm Certifications

    seller's web page for this certification

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    Comparing the top database security tools | real questions and Pass4sure dumps

    The purpose of database security tools is to provide more complete protection of relational database management...

    system offerings, beyond the security features that are integrated into those products. Some of these add-ons deliver high-end data, analysis and auditing tools as well. The appeal of database security tools is that they don't alter the database or application, and they result in only minimal performance impacts.

    This article compares the strengths and weaknesses of several database security tools: database activity monitoring (DAM), database assessment and transparent database encryption products. The companies and products addressed in this article (shown in the following table) are every solitary highly rated and leaders in the database security sector.

    Fortinet FortiDB, IBM Guardium, Imperva SecureSphere and Vormetric Inc. are primarily appliance-driven products. The McAfee products (Database Activity Monitoring and Vulnerability Manager for Databases), HP Security Voltage, Protegrity USA Inc.  and Trustwave DbProtect are primarily software-based products, and Oracle Advanced Security is an option with Oracle Database Enterprise Edition.


    The database activity monitoring products occupy similar feature sets: audit policy compliance (Payment Card Industry Data Security Standard, Health Insurance Portability and Accountability Act, Gramm-Leach-Bliley Act and so on), transaction blocking, separation of duties, centrally managed security, advanced reporting and more.

    One differentiating factor is the underlying monitoring technology -- how the DAM gathers information -- which is typically via network monitoring, remote monitoring or local agents. Depending on a particular vendor's technology, the company might caution that SQL sniffing performed by network appliances or local agents offers limited visibility and can therefore miss some censorious activity. Another may assure that server input/output, network load and database performance is affected by agents needing to cache traffic to the local disk or dispatch traffic over the network for analysis. In reality, today's agents are lightweight and typically repercussion performance by less than 5%, which is acceptable by industry standards. But there's no trustworthy artery to compare the performance of various DAMs other than to test them in your own environment.

    The types of supported databases is another factor to consider. Most DAM products can monitor Oracle, Microsoft SQL Server, IBM DB2, MySQL and Sybase, but some provide support for many more databases. Imperva SecureSphere adds IBM IMS, IBM Informix, IBM Netezza, MongoDB, PostgreSQL, Progress OpenEdge and Teradata to its list. However, vendors continually upgrade their products to be more inclusive and don't always occupy the most current information on their websites. So be certain to inquire of each vendor for a current list of supported databases.

    Database assessment add-on tools check database configuration settings and patch levels to uncover vulnerabilities, and some integrate with DAM products for alerting and activity blocking. Assessment add-ons can be censorious to database security because of the depth of inspection and reporting they offer, which is often lacking in database applications. Fortinet FortiDB, Trustwave DbProtect and Imperva SecureSphere embrace vulnerability management for databases, whereas IBM Guardium and McAfee sell it as a part product.

    For transparent database encryption, end-to-end protection, centralized policy management, scalability and minimal performance repercussion are censorious criteria. In this respect, Vormetric and HP Security Voltage shine. Both products are highly scalable and provide stout data encryption. Vormetric provides file system and volume encryption as well as access control. Voltage's data-centric security encrypts any kind of data component (payment card numbers, personally identifiable information), which includes variable-length strings, numbers, dates, and more. Vormetric edges out Voltage regarding the variety of supported databases and platforms -- Vormetric can encrypt nearly any type of database on Windows, Linux and Unix platforms.

    Oracle offers table- and column-level protection, and Protegrity secures data at the application, file, database and column levels.

    Ease of deployment and use

    Appliance-based products, by design, watch to be fairly light to install. That said, the more knotty products, such as IBM Guardium and Imperva SecureSphere, can buy weeks to deploy and properly configure.

    Fortinet FortiDB appliances, on the other hand, accumulate elevated ratings for simple deployment and setup -- organizations can start monitoring a database within an hour of unpacking the box. The main configuration steps involve specifying an IP address range, selecting the type of database server to monitor, choosing a port range, and entering a username and password. Auto discovery takes it from there.

    For the software-based database activity monitoring and assessment products, the McAfee products setup is wizard-driven and very light to configure. The Trustwave DbProtect dashboard, meanwhile, is crisp and well-organized, and the product provides considerable performance charts as well as operational and compliance reports.

    Setting up transparent database encryption is a knotty process. Vormetric, Voltage and Protegrity require installation and configuration of a management console and agents. Because Oracle Advanced Security is an option in Oracle Database Enterprise Edition, installation is minimal. However, transparent database encryption requires significant policy configuration and keystore setup. In this respect, Vormetric, Voltage and Protegrity earn exhaust of graphical user interfaces (GUIs), whereas Oracle configuration is performed at the command-line interface or through a GUI.

    As for demo and evaluation units, every solitary of the vendors let potential customers try an evaluation unit in their own environment. Fortinet and Vormetric likewise offer online demos. Regarding HP Security Voltage, organizations occupy to accumulate in palpate with a sales rep to request a demo -- unlike the other vendors, the option to request a demo isn't readily available from the HP website. Organizations can download a crucible of McAfee Database Activity Monitoring and McAfee Vulnerability Manager for Databases for free.


    Database security tools pricing varies greatly, in both dollar amount and how the product is sold or licensed.

    Regarding database monitoring and assessment products, Fortinet offers the most straightforward pricing. For example, Fortinet FortiDB appliances cost $15,000 to $37,000, and annual upgrade subscriptions and enhanced support add $3,700 to over $9,000 to the cost.

    By contrast, Imperva SecureSphere Database Activity Monitoring is licensed by database transaction volume, so charge varies based on the environment. With this model, a customer purchases only what's needed and can scale up or down as database activity monitoring needs change. The platform requires a virtual or hardware appliance and management server; the cost of a low-end hardware appliance lonely starts around $30,000 and scales up to over $85,000 for higher-end units.

    The appeal of a database security implement is that it doesn't alter the database or application, and it results in only minimal performance impacts.

    Some of the products, like McAfee Database Activity Monitoring and IBM Guardium, groundwork pricing on the number of processor cores. In those cases, the companies prefer potential customers to contact the vendor or a reseller for specific pricing.

    Pricing for transparent encryption is equally diverse. For example, Protegrity Database Protector is one of the highest priced products but is fairly clear-cut. Protegrity licenses its product for several different types of databases. The Protegrity Oracle Database Protector, for example, costs approximately $17,000 annually for a two-year license, or $45,000 for a perpetual license. And the management console -- Enterprise Security Administrator -- costs about $32,000 (two-year term) to $84,500 (perpetual) for a solitary environment.

    In comparison, Oracle Advanced Security pricing is much more complex. The company sells Named User Plus agreements for smaller environments or Enterprise Edition per-core licenses for larger environments. Under a Named User Plus agreement, customers must purchase 25 licenses per processor, which cost $300 total, plus $66 for software updates, licensing and support. Enterprise Edition per-core licensing runs $15,000, plus $3,300 for software updates, licensing and support. Surprisingly, you can order Oracle Advanced Security licenses directly from the Oracle website.


    All of the companies offer criterion support via phone, email or a customer portal, as well as free access to Web learning bases. criterion support is typically Monday through Friday during traffic hours with a four-hour response time. Premium support with 24x7x365 access and various levels of response time is available, typically at thousands of dollars per package.


    Budget is often the primary criterion in any security product, but database security tools' purchasing metrics vary significantly. Deciding factors are whether an add-on product has every solitary necessary required features, how it performs in an organization's environment, and how much worry is required to set up and maintain the product.

    Begin the vendor vetting process with a minute list of features that your organization requires, then talk to vendor reps, accumulate evaluation units or crucible software, test the products in-house, and request accurate pricing for your particular environment. Then weigh the costs against completeness of feature set, ease of exhaust and performance.

    Fortinet and McAfee rank elevated on ease of exhaust and cost for database monitoring and assessment, but they might not meet every solitary of an organization's requirements. Regarding transparent database encryption, Vormetric, HP Secure Voltage and Protegrity edge out Oracle Advanced Security regarding ease of exhaust and/or pricing simplicity.

    Once an organization determines a short list of products, evaluate each vendor's longevity in the market. The database security sector has experienced a lot of churn over the last two to three years, with some companies making several strategic purchases and forming partnerships with cloud service providers, while others occupy been scooped up by the competition. It may be best to avoid vendors that are being acquired or are struggling to grow.

    Converting XML to Relational Data for exhaust in DB2 | real questions and Pass4sure dumps

    No result found, try recent keyword!11.1 Advantages and Disadvantages of Shredding 11.2 Shredding with the XMLTABLE function 11.3 Shredding with Annotated ... insert performance and to reduce the number of tables in your database, you m...

    The top 10 SQL and NoSQL databases | real questions and Pass4sure dumps

    Database engines are a bit like the datasets they labor with. There’s lots of them.

    The database ranking website DB Engines gives a considerable overview of the market by charting the popularity of close to 200 different databases. We decided to buy a closer look at their top ten DBs.

    The sizable three

    Together the Oracle, MySQL and Microsoft heavyweight DBs buy the lion’s partake of users, each reeling in users with their own part advantages.

    1. Oracle 12c

    Initial release: 1980License: ProprietarySQL: Yes

  • The most celebrated choice for censorious commercial projects and the oldest major database in the market (not necessarily a disadvantage)

  • Available in four different editions: Enterprise, Standard, criterion Edition One, Express

  • More operating system flexibility than its Microsoft counterpart

  • The widest flexibility when it comes to the supported server operating systems

  • Virtual Private Database, Data Guard for standby database, automatic memory storage and undo management

  • 2. MySQL

    Initial release: 1995License: Open sourceSQL: Yes

  • Enterprises can start out using the free community server and later upgrade to the commercial version

  • Runs on Linux, Windows, OSX and FreeBSD and Solaris

  • Intuitive graphical user interface for designing database tables

  • Due to its open-source community, MySQL has a large bank of tutorials and information to support you accumulate started and solve problems

  • Support for partitioning and replication, as well as for Xpath and for stored procedures, triggers and views

  • 3. Microsoft SQL Server

    Initial release: 1989License: ProprietarySQL: Yes

  • The most widely used commercial DBMS

  • Limited to Windows, but this is an odds if your enterprise uses mostly Microsoft products

  • The alternatives

    Over the years, Oracle, MySQL and Microsoft have firmly secured their zone at the top of the DB market. But the DB-engines ranking depicts a steady augment in popularity among newer alternative databases, with services like HBase, Cassandra and Teradata slowly gaining ground.


    4. PostgreSQL

    Initial release: 1989License: Open sourceSQL: Yes

  • A particularly scalable object-relational database

  • Runs on Linux, Windows, OSX and several other systems

  • Support for tablespaces, as well as for stored procedures, joins, views, triggers, etc.

  • 5. MongoDB

    Initial release: 2009License: Open sourceSQL: No

  • The most celebrated NoSQL DB; nevertheless retains some SQL properties like query and index

  • Supports a wide range of programming languages like Scala, Groovy, Clojure and Java – notably more than NoSQL rival Cassandra

  • High performance on big databases

  • Best for dynamic queries and for defining indexes

  • Supports Linux, OSX and Windows, but the DB size is limited to 2.5 GB on 32bit systems

  • 6. DB2

    Initial release: 1983License: ProprietarySQL: Yes and No

  • IBM’s answer to Oracle’s 12c, available in host and Windows/Linux versions

  • Runs on Linux, UNIX, Windows

  • Ideal for IBM host environments

  • Support for both SQL and NoSQL data models

  • 7. Microsoft Access

    Initial release: 1992License: ProprietarySQL: Yes

  • Only one installation needed (DBMS and design implement in one)

  • Like Microsoft SQL Server, it’s exhaust is limited Windows

  • Ideal for getting started with traffic analysis, but not its performance is not designed for mid to large-scale projects

  • Supported programming languages limited to C, C#, C++, Java, VBA and Visual Basic.NET

  • 8. SQLite

    Initial release: 2000License: Public domainSQL: Yes

  • A self-contained server-less database engine with no external dependencies, used in iPhones, Firefox browsers and Skype

  • Its exhaust as an embedded database makes it celebrated among devices like the iPhone, as well as desktop software like Skype and Firefox (SQLite even claims to be the most deployed SQL database)

  • No configuration or admin tasks needed

  • The entire DB is stored in one disk file which can grow to 7TB

  • The widest range of supported programming languages among the top 10 DBs

  • 9. Cassandra

    Initial release: 2008License: Open sourceSQL: No

  • Highly available NoSQL alternative to MongoDB

  • Useful for storing particularly big datasets with a user-friendly interface

  • Popular in banking, finance and logging, but likewise used by Facebook and Twitter

  • Supports Windows, Linux and OSX, as well as numerous languages

  • Map/reduce likewise possible when used with Hadoop

  • 10. Sybase ASE

    Initial release: 1987License: ProprietarySQL: Yes

  • An enterprise RDBMS by SAP with

  • Runs on Linux, Unix and Windows, but no OSX support

  • Supported programming languages are limited to C, C++, Cobol, Java, Perl, PHP and Python

  • There are plenty more well-know DBs that didn’t earn it into the top 10, for instance CouchDB (21), Neo4j (22) and Riak (30). Competition grows fierce further down the chain, with dozens more smaller and newer SQL and NoSQL databases to select from.

    Check out the full ranking over on

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