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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 appellation : DB2 9.7 Database Administrator for Linux UNIX or Windows Upgrade
Vendor appellation : IBM
: 78 actual Questions
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IBM DB2 9.7 Database Administrator
In September 2018, IBM introduced a novel product, IBM Db2 AI for z/OS. This artificial intelligence engine displays information entry patterns from executing SQL statements, uses computer gaining knowledge of algorithms to select foremost patterns and passes this recommendation to the Db2 question optimizer to breathe used by means of subsequent statements.
desktop getting to know on the IBM z Platform
In can besides 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 viable for records modelers and scientists to rate 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 course 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 drill 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 influence outfit configuration adjustments that can augment efficiency.
The next step become to reclaim in constrain this suite to analyze 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 primary aspect in criterion software fitness and efficiency, IBM estimates that the DBA aid carcass 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 immense 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 existence 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 breathe accessed and develops a listing of candidate statistics entry paths. These access paths can consist of indexes, table scans, quite a lot of desk breathe Part of methods and others. in the statistics warehouse and massive statistics environments there are continually further decisions attainable. One of those is the existence of abstract tables (from time to time known as materialized question tables) that hold pre-summarized or aggregated facts, thus permitting Db2 to avoid re-aggregation processing. a further option is the starjoin access path, universal 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 imbue during this context capacity a weighted summation of useful resource usage together with CPU, I/O, reminiscence and other components. finally, the Optimizer takes the bottom imbue 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 manipulate 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 finish 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 noiseless IT managers aid this environment, in particular with probably the most skilled and age team of workers nearing retirement?
remember besides that a big Part of reducing the overall can imbue of possession of those programs is to secure Db2 functions to elope 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 advantage from performance tuning, one strategy is to automate the detection and correction of tuning concerns. here is where desktop gaining knowledge of and artificial intelligence can besides breathe used to super effect.
Db2 12 for z/OS and artificial 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 debilitated 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 knowledge 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 altenative algorithm.
The influence should breathe a reduction in CPU consumption as the Optimizer uses mannequin scoring input to pick 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 believe information science advantage or abysmal 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 besides breathe primarily essential if you store information in distinctive places. as an instance, many analytical queries against massive statistics require concurrent entry to determined 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 right with a table called StoreLocation that enumerates each reclaim and its vicinity code. Queries towards withhold income statistics may additionally wish to admixture or summarize sales by course of area; hence, the StoreLocation table can breathe used through some immense information queries. during this atmosphere it's mediocre to prefer 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 trade analysts. From Db2's perspective, bar not one these queries are equal, and are forwarded to the Optimizer. youngsters, in the case of operational queries and warehouse queries they may noiseless absolutely breathe directed to entry the StoreLocation desk in the warehouse. nonetheless, the question from the company analyst towards immense information tables should noiseless 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 rate sensible entry path choices.
how it Works
The sequence of routine in Db2 AI for z/OS (See Reference 2) is frequently right here:
throughout a bind, rebind, reclaim together or intricate 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 altenative and question efficiency statistics (CPU used, and so on.) and passes it to a "studying assignment";
The researching task, which will besides breathe 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 besides breathe 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 besides 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 ameliorate the efficiency of analytical queries as well as operational queries and their linked functions. This requires management consideration, as you believe to check that your enterprise is prepared to devour 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 breathe 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 expend their time in supporting analytics and operational software efficiency.
# # #
John Campbell, IBM Db2 distinguished EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 application performance with desktop getting to know"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-raise-ibm-db2-application-performance-with-ma
Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
See bar not one articles via Lockwood Lyon
a brand novel wave of customers and enterprise companions in industries reminiscent of healthcare, power and economic markets believe made the switch from competitive systems to IBM DB2 database application to satisfy facts intensive calls for of their agencies. To further speed up this momentum, IBM currently announced a novel feature that makes it viable for purchasers to extra conveniently movement their purposes written for Sybase ASE to DB2 - including to the help 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. believe adopted or migrated to DB2 because of its ease of use, subside 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 bar not one industries can believe up to thousands of functions and dozens of database management systems that deserve to believe 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 believe 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 believe got benefited from spirited DB2 improvements reminiscent of pureScale working on IBM energy methods, that helps valued clientele enhance their database transaction skill whereas reducing the risk and price of growing to breathe their IT methods.
For consumers affecting purposes from Sybase ASE, this novel SQL epidermis characteristic makes DB2 the best option for quickly reducing their operational expenses for you to rate 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 evolution began greater than two years in the past and early adopter consumers believe participated in a beta program seeing that late 2009.
"We account the pressures valued clientele physiognomy to augment the accustomed 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 novel SQL dermis is a clear 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 attain and assist coupled with the unrivaled technology and value merits delivered by ANTs improvements creates an impressive novel providing for world businesses. In huge economic capabilities and telecommunications markets, where can imbue label downs is a tremendous priority, the cost of without detain affecting to DB2 can besides breathe compelling for companies focused on cutting back fees."
skill stage: superior fame: energetic
comparatively cheap: $200 (shortest tune)
summary:for people who believe extensive journey as a DBA and extensive skills of DB2 widespread Database.
preliminary requirements:You ought to breathe 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
See bar not one Ibm Certifications
seller's web page for this certification
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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 bar not one 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 believe 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 relate 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 course 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 back 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 breathe more inclusive and don't always believe the most current information on their websites. So breathe sure to claim 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 breathe 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 divide product.
For transparent database encryption, end-to-end protection, centralized policy management, scalability and minimal performance repercussion are primary criteria. In this respect, Vormetric and HP Security Voltage shine. Both products are highly scalable and provide strong data encryption. Vormetric provides file system and volume encryption as well as access control. Voltage's data-centric security encrypts any kind of data element (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, mind to breathe fairly light to install. That said, the more complex products, such as IBM Guardium and Imperva SecureSphere, can prefer weeks to deploy and properly configure.
Fortinet FortiDB appliances, on the other hand, secure tall ratings for simple deployment and setup -- organizations can commence 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 mighty performance charts as well as operational and compliance reports.
Setting up transparent database encryption is a complex 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 rate 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, bar not one of the vendors let potential customers try an evaluation unit in their own environment. Fortinet and Vormetric besides offer online demos. Regarding HP Security Voltage, organizations believe to secure in finger 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 affliction 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 back add $3,700 to over $9,000 to the cost.
By contrast, Imperva SecureSphere Database Activity Monitoring is licensed by database transaction volume, so price 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 solitary 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, enjoy McAfee Database Activity Monitoring and IBM Guardium, basis 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 lone 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 back via phone, email or a customer portal, as well as free access to Web knowledge bases. criterion back is typically Monday through Friday during trade hours with a four-hour response time. Premium back 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 bar not one necessary required features, how it performs in an organization's environment, and how much exertion is required to set up and maintain the product.
Begin the vendor vetting process with a circumstantial list of features that your organization requires, then talk to vendor reps, secure evaluation units or affliction 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 tall on ease of exhaust and cost for database monitoring and assessment, but they might not meet bar not one 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 believe been scooped up by the competition. It may breathe best to avoid vendors that are being acquired or are struggling to grow.
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Database engines are a bit enjoy the datasets they labor with. There’s lots of them.
The database ranking website DB Engines gives a mighty overview of the market by charting the popularity of close to 200 different databases. We decided to prefer a closer look at their top ten DBs.
The immense three
Together the Oracle, MySQL and Microsoft heavyweight DBs prefer the lion’s participate of users, each reeling in users with their own discrete advantages.
1. Oracle 12c
Initial release: 1980License: ProprietarySQL: Yes
The most celebrated altenative for primary 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 reminiscence storage and undo management
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 help you secure 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 advantage if your enterprise uses mostly Microsoft products
Over the years, Oracle, MySQL and Microsoft have firmly secured their plot at the top of the DB market. But the DB-engines ranking depicts a steady augment in popularity among newer alternative databases, with services enjoy HBase, Cassandra and Teradata slowly gaining ground.
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.
Initial release: 2009License: Open sourceSQL: No
The most celebrated NoSQL DB; nevertheless retains some SQL properties enjoy query and index
Supports a wide sweep 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
Initial release: 1983License: ProprietarySQL: Yes and No
IBM’s own 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
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 enjoy the iPhone, as well as desktop software enjoy Skype and Firefox (SQLite even claims to breathe 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 sweep of supported programming languages among the top 10 DBs
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 besides used by Facebook and Twitter
Supports Windows, Linux and OSX, as well as numerous languages
Map/reduce besides viable 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 rate 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 pick from.
Check out the complete ranking over on db-engines.com.