Enye i-metabase esekelwe ku-DuckDB

\u003ch2\u003eA enye i-metabase esekwe ku-DuckDB\u003c/h2\u003e \u003cp\u003eLe khosombe ye-GitHub yomthombo ovulekile imele umnikelo obalulekile ku-ecosystem kanjiniyela. Le phrojekthi ibonisa izinqubo zesimanje zokuthuthukisa kanye nokubhala ngekhodi okuhlanganyelwe.\u003c/p\u003e \u003ch3\u003eIzici zobuchwepheshe\u003c/h3\u003e \u003cp\u003eInqolobane kungenzeka ihlanganisa:\u003c/p\u003e \u003cul\u003e \u003cli\u003eHlanza, ikhodi ebhalwe kahle\u003c/li\u003e \u003cli\u003eI-README ebanzi enezibonelo zokusetshenziswa\u003c/li\u003e \u003cli\u003eIziqondiso zokulandela umkhondo nomnikelo\u003c/li\u003e \u003cli\u003eIzibuyekezo ezivamile nokulungiswa\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003eUmthelela Womphakathi\u003c/h3\u003e \u003cp\u003eAmaphrojekthi womthombo ovulekile njengalena ekhuthaza ukwabiwa kolwazi futhi asheshise ukusungula izinto ezintsha zobuchwepheshe ngekhodi efinyelelekayo nokuthuthukiswa kokuhlanganyela.\u003c/p\u003e

Imibuzo Evame Ukubuzwa

Iyini enye indlela ye-DuckDB-based Metabase futhi ihluke kanjani ku-Metabase?

Okunye okusekelwe ku-DuckDB kwe-Metabase isebenzisa i-DuckDB njengenjini yayo yombuzo wokuhlaziya esikhundleni sokuthembela ekuxhumekeni kwesizindalwazi sangaphandle kuwo wonke umbuzo. I-DuckDB iyisizindalwazi esisacutshungulwa se-OLAP esithuthukiselwe ukulayisha okusheshayo kokuhlaziya, okusho ukuthi imibuzo isebenza endaweni ngaphandle kwenethiwekhi. Ngokungafani nokusetha kwe-Metabase okuvamile okudinga iseva yedatha ehlukile, le ndlela ingabuza amafayela endawo njenge-CSV, i-Parquet, ne-JSON ngokuqondile, ikwenze kusheshe kakhulu ekuhlaziyeni idatha yokuhlola kanye namaqembu amancane.

Ingabe leli thuluzi libafanele abasebenzisi abangebona abezobuchwepheshe abadinga amadeshibhodi obuhlakani bebhizinisi?

Kuncike ekusetshenzisweni, kodwa amathuluzi amaningi e-BI asuselwa ku-DuckDB asadinga ukujwayela okuthile kwe-SQL ukuze asetshenziswe okuthuthukile. Uma ithimba lakho lidinga isimo sezibalo esiphelele, esilungele abasaqalayo kanye nenqwaba yamathuluzi ebhizinisi, izinkundla ezifana Mewayz zinikeza amamojula ahlanganisiwe angaphezu kuka-207 — okuhlanganisa izibalo nezici zokubika — eziqala ku-$19/ngenyanga, okungaba inketho esebenza kakhulu emaqenjini angewona ochwepheshe.

Ngingakwazi ukuzibambela ngokwami lokhu okuhlukile okusekelwe ku-DuckDB ukuze ngigcine idatha yami iyimfihlo?

Yebo, amathuluzi amaningi e-BI asuselwa kumthombo ovulekile we-DuckDB adizayinelwe ukuzibamba ngokwakho, okukunikeza ukulawula okugcwele kudatha yakho nengqalasizinda. Lokhu kuyinzuzo enkulu ezinhlanganweni ezinezidingo eziqinile zobumfihlo bedatha. Njengoba i-DuckDB isebenzisa inqubo, idatha yakho ayilokothi ishiye indawo yakho ngaphandle kokuthi ulungiselele ukuxhumana kwangaphandle. Ukuzibamba ngokwakho kudinga ulwazi lwe-DevOps lokusetha, ukulungisa, nokukala, ngakho-ke kubalulekile kulokho okungaphezulu kokusebenza lapho uhlola lokhu ngokuqhathaniswa nezixazululo eziphethwe.

Ingabe lokhu kuqhathaniswa kanjani nezindleko zamathuluzi e-BI ezentengiso njenge-Metabase Cloud noma i-Tableau?

Njengephrojekthi yomthombo ovulekile, ithuluzi eliyinhloko limahhala, nakuba ukusingathwa ngokwakho kuthwala ingqalasizinda kanye nezindleko zokuyilungisa. Ezinye izindlela zezentengiso ezifana ne-Metabase Cloud noma i-Tableau zingasebenzisa amakhulu amadola ngenyanga. Emaqenjini afuna ukusebenza okubanzi ngale kwe-BI — CRM, ukuphathwa kwephrojekthi, ukumaketha, nokunye okwengeziwe — Mewayz inqwabelanisa amamojula angu-207 ngo-$19/ngenyanga, okukwenza kube ukukhetha okubiza izindleko uma udinga inkundla yebhizinisi ehlanganisa wonke umuntu esikhundleni sethuluzi lokuhlaziya elizimele.