How to Choose the Right Open Source Data­base

Data­bases store data in an or­gan­ised man­ner so that its re­trieval be­comes easy. Also, the man­age­ment of data is eas­ier when it is stored in a data­base. There are many fac­tors to be con­sid­ered, how­ever, be­fore choos­ing a data­base for a par­tic­u­lar soft­ware

OpenSource For You - - Contents -

Con­sid­er­ing the num­ber of users work­ing with dif­fer­ent on­line ap­pli­ca­tions nowa­days, data­bases are about the most im­por­tant part of any soft­ware ap­pli­ca­tion, and can make a huge im­pact on its per­for­mance. It is re­ally dif­fi­cult and time con­sum­ing for a data­base to op­er­ate if it has a huge load of data or if it has a va­ri­ety of data sets to op­er­ate upon. There are also sev­eral other fac­tors like the se­cu­rity of data, as well as the cost (if there is one) as­so­ci­ated with the data­base, im­pact­ing the choice of the data­base. A free data­base helps users to avoid huge costs. Hence, open source data­bases have been play­ing quite an im­por­tant role in many of the widely used soft­ware ap­pli­ca­tions across the globe.

Dif­fer­ent kinds of data­bases avail­able in the mar­ket

There are var­i­ous types of data­bases be­ing used by dif­fer­ent users across the globe, based on their re­quire­ment. The fol­low­ing is a broad clas­si­fi­ca­tion of data­bases.

1. Re­la­tional data­bases: Re­la­tional data­bases are the most com­mon among all the types. In such data­bases, the data is ac­tu­ally stored in the form of dif­fer­ent data ta­bles. Each of the ta­bles has a unique key field and that key is used to con­nect one ta­ble to the other ta­bles. Hence, dif­fer­ent ta­bles are re­lated to each other with the help of var­i­ous key fields. Such data­bases are widely used in in­dus­tries like me­dia, tele­com, etc, and this is prob­a­bly the type of data­base one is most likely to come across.

2. Op­er­a­tional data­bases: An op­er­a­tional data­base is very im­por­tant for or­gan­i­sa­tions, as it sup­ports the cus­tomer data­base and the in­ven­tory data­base. It helps companies to keep a track of in­ven­to­ries as well as store de­tails of the cus­tomers who buy its prod­ucts. The data stored in var­i­ous op­er­a­tional data­bases can be an­a­lysed and used based on the re­quire­ments of the com­pany.

3. Data­base ware­houses: There might be a re­quire­ment for dif­fer­ent or­gan­i­sa­tions to keep some of the rel­e­vant data for sev­eral years. Such data sets act as sig­nif­i­cant sources of in­for­ma­tion to com­pare and an­a­lyse the present year’s data with that of pre­vi­ous years, which makes it quite easy to de­ter­mine key trends. All such data from pre­vi­ous years is main­tained and stored in a large data­base ware­house. Since the stored data set has al­ready gone through var­i­ous kinds of edit­ing, screen­ing and in­te­gra­tion, it no longer re­quires any edit­ing or al­ter­ation.

4. Dis­trib­uted data­bases: Many or­gan­i­sa­tions have sev­eral re­gional of­fices, man­u­fac­tur­ing plants, branch of­fices and a head of­fice. Each such work group may have its own set of data­bases, which col­lec­tively form the main data­base of the com­pany. Such a sys­tem of data­bases is known as a

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