Okuqukethwe[Fihla][Bonisa]
Ifu manje seliyingxenye ebalulekile yokuphatha amabhizinisi esimanje esikhathini se-inthanethi.
Akuselona nje igama elisemfashinini. Ukubaluleka kobuchwepheshe bokuthuthwa kwedatha ngeke kugcizelelwe njengoba umphakathi wethu usondela ekubeni yi-cloud-centric.
Cabangela ukuthuthela ekhaya elisha. Impahla yakho kufanele ifike endaweni yayo entsha ingalimele futhi ingene ngaphandle kwezinkinga, ngakho inqubo ihilela okungaphezu nje kokuyihambisa.
Ngokufanayo nalokhu, izinhlangano zithutha idatha yazo ngezindlela eziningi kuneyodwa lapho ziyihambisa, ikakhulukazi emafini.
Baqinisekisa ukudluliswa okushelelayo, ukufinyeleleka okuqhubekayo, nokuhlanganiswa okuphelele nendawo entsha yolwazi lwabo oluyigugu kanye izimpahla zedijithali.
Manje ake sixoxe ngefu. Kukhulu, kunamandla, futhi kunikeza ukukala okungenakuqhathaniswa. Kodwa ukuhambisa idatha efwini akulula njengokubeka amafayela lapho.
Kuyinqubo eyinkimbinkimbi edinga ukuhlela ngokucophelela, ukwenziwa, nokuqapha. Amathuluzi okuthutha idatha awusizo kulesi simo.
Zisebenza njengebhuloho, elivumela ukudluliswa kwedatha kumapulatifomu amaningi wamafu noma kusuka kumasistimu asendaweni kuya ezindaweni ezingamafu.
Idatha, ngemuva kwakho konke, yiyona egcina noma iyiphi inkampani iphila. Ithonya ukukhetha, inika amandla izinhlelo zokusebenza, futhi iqukethe imininingwane eyigugu.
Imiphumela eyinhlekelele ingase ibangelwe noma yikuphi ukuphazamiseka, ukulahleka, noma ukonakala kwale datha phakathi nokudlulisa. Ngakho-ke, kugxilwe kumathuluzi athembekile.
Lezi zingaphezu nje kwezingcezu zesofthiwe; basebenza njengabaphathi bobuqotho bedatha, benza isiqiniseko sokuthi yonke idatha igcinwa ngendlela yayo yangempela ngemva kokudlulisa.
Ukuhambisana kwesistimu nakho kuba okubalulekile ngenxa ye-ecosystem ebanzi yamafu yamaplathifomu nezinhlelo zokusebenza.
Amabhizinisi awafuni ukuthola ngemuva kokuthutha ukuthi idatha yawo ayisebenzi namasistimu amasha.
Ngakho-ke, ukuze usize inkampani yakho ilawule ukuhanjiswa kwedatha ukusuka kwenye ingxenyekazi iye kwenye, sikhethe izixazululo eziphezulu zokuthutha idatha.
1. Ipayipi yedatha ye-AWS
Iphayiphi Yedatha ye-AWS ivela njengomholi ekuthuthweni kwedatha. Isevisi yewebhu edalwe yi-Amazon ihloselwe ngokukhethekile ukuqinisekisa ukucutshungulwa okuphephile nokudluliswa kwedatha phakathi kwezinsiza zekhompuyutha ze-AWS ezahlukene kanye nesitoreji kanye nemithombo yedatha yasendaweni.
Kuyafana nokuthumela idatha ngenethiwekhi ebanzi ye-AWS ngezikhathi ezinqunywe kusengaphambili ezindaweni ezifana ne-Amazon S3, i-Amazon RDS, i-DynamoDB, noma i-EMR.
Okokuqala, yakhiwe phezu kwesakhiwo esiqinile, esabalalisiwe, esiqinisekisa ukusebenza okubekezelela amaphutha.
Ngakho-ke yakhelwe ukuthi iphinde izame ngokuzenzakalelayo uma kwenzeka iphutha, futhi uma izinkinga ziqhubeka, ixwayisa abasebenzisi ngokwehluleka.
Ngezici ezifana ne-Amazon Simple Notification Service (i-Amazon SNS), egcina amakhasimende enolwazi mayelana nokuqhubeka kwedatha yawo, lokhu kwethembeka kuyathuthukiswa nakakhulu.
Okunye okuhlanganisa ukuthi kulula kangakanani ukusebenzisa. Ngekhonsoli yayo yokudonsa nokuwisa, ukwenza ipayipi kuwumoya ohelezayo. Ukwengeza, inezimo ezakhelwe ngaphakathi, ngakho-ke ukucabanga okwengeziwe akudingeki.
Ukwengeza, Iphayiphi Yedatha ye-AWS inikeza umtapo wezincwadi wezifanekiso zokuguqulwa, okwenza kube lula ukuqedela imisebenzi efana nokucubungula amafayela okungena noma ukwenza imibuzo ephindaphindayo ye-SQL.
Iphayiphi Yedatha ye-AWS yakhelwe phezu kwesisekelo sokuvumelana nezimo. Ukuhambisa idatha kuyisici esisodwa kuphela; ukwenza ngendlela yakho kungenye.
Ukumbozile ukuthi uyafuna yini ukusebenzisa i-Amazon EC2 ukusebenzisa izinhlelo zokusebenza ze-bespoke, imibuzo ye-SQL, noma imisebenzi ye-Amazon EMR.
Nokho, into enkulu kakhulu? Ikhula kalula. I-AWS Data Pipeline iphatha ukucubungula ifayela elilodwa noma amafayela ayisigidi kalula ngendlela efanayo.
Zamanani
Amanani entengo e-US East anemvamisa ephezulu aqala ku-$1.00 ngenyanga.
2. Hlanganisa.io
I-Integrate.io isungula njengomholi ekudluliselweni kwedatha nasekuguquleni. Lokhu inkundla inikeza i-no-code isixazululo sepayipi ledatha, okwenza kube lula uhambo oluphelele lwedatha, futhi sadalelwa amaqembu edatha yesimanje.
Cabanga ngethuluzi elingathuthi kuphela idatha, kodwa futhi eliqinisekisa ukuthi liphephile, alingcolisiwe, futhi lilungele ukuthathwa kwezinqumo. Nakho-ke, i-Integrate.io.
I-no-code ye-ETL (Extract, Transform, Load) ingenye yezici zayo ezihlukile. Ukulungiswa kwedatha kanye nokukhohlisa kwenziwa kube lula ngesixhumi esibonakalayo sokudonsa nokuwisa.
Kodwa kudlula lokho. Umthombo ongaguquki nothembekile wokubika uqinisekiswa ukuphindaphindwa kwedatha ye-Integrate.io's ELT (Okukhiphe, Ukulayisha, Ukuguqula), okuyiyona eshesha kakhulu emakethe.
Inkundla ihlinzeka ngokuzenzakalelayo, okuvikelekile kwekhodi ye-REST API yekhodi, evumela ukudalwa okusheshayo kwe-REST API yokufunda/ukubhala.
Lokhu kubhebhethekisa imikhiqizo yakho yedatha, kwenze kube lula ukuhlanganiswa kwedatha nokufinyeleleka.
Kulabo ababeka kuqala ikhwalithi yedatha, ukubonwa kwedatha ye-Integrate.io, ukuqapha, namathuluzi e-alamu aqinisekisa ukuthi ungahlala uqiniseka ukuthi idatha yakho inembile.
Kodwa ukuguquguquka kwe-Integrate.io yikho okwenza igqame.
Ihloselwe ukukusiza kulo lonke uhambo lwedatha, kusukela ekubekeni idatha endaweni eyodwa yokubika imininingwane ukuya ekuyisebenziseni kumasistimu abalulekile ngisho nokuthuthukisa izinhlelo zokusebenza eziqhutshwa idatha.
Yinkundla ehlanganisiwe yedatha engekho ikhodi izinhlangano zamanje ezilindile, ezinekhono lokuxhuma emithonjeni yedatha engaphezu kuka-150+ nezindawo okuyiwa kuzo.
Zamanani
Ihlinzeka ngezakhiwo zamanani eziningi zezidingo ezahlukahlukene futhi amanani e-ETL & Reverse ETL aqala kusuka ku-$1500/ngonyaka.
3. I-Fivetran
I-Fitran izitholele yona njengesixazululo esivelele sokuthutha idatha.
I-Fivetran, ezibiza ngokuthi "inkundla yokuhambisa idatha ezenzakalelayo," ithathwa njengozakwethu onokwethenjelwa yizinkampani ezihlukahlukene, kusukela kumabhemu e-Fortune 500 kuya kwabaqalayo abasafufusa.
Amandla ayo ayisisekelo afika emandleni ayo okuqoqa, ukulayisha, nokuguqula idatha kusuka emithonjeni ehlukahlukene, iqinisekisa ukuthi ilungele ukuhlaziya noma ukusebenza.
Ukuhlolwa okujulile kwamakhono ayo kuveza ukuthi i-Fivetran inikeza izixhumi zomthombo owakhelwe ngaphambili ezingaphezu kuka-300, ezingenakhodi, okwenza kube lula inqubo yokuhlanganiswa kwedatha.
Ukulawula ukukhukhuleka kwe-schema okuzenzakalelayo, kanye nokwenza idatha ibe yejwayelekile nezibuyekezo, ezinye zezici zayo ezivelele nokuqinisekisa ukuvumelana kwedatha.
Ukwengeza, ukuqoqwa kwayo kwedatha yoshintsho oluphumelelayo kunikeza ukufuduka kwedatha okusheshayo nokunomthelela ophansi, okuwunkulunkulu wezinkampani ezazisa izinguquko zedatha yesikhathi sangempela.
Nokho, i-Fitran yenza okungaphezu nje kokudlulisa idatha. Imayelana nokuyishintsha. Ukuguqulwa kwedatha kwenziwa kwaba lula ngosizo lobuchwepheshe obufana namamodeli edatha ye-Quickstart nokuhlanganiswa kwamamodeli ahlukile we-dbt Core.
Ngaphezu kwalokho, u-Fitran ukumbozile uma ukuphepha kuwukukhathazeka. Ukuvikelwa kwedatha kuqinisekiswa kuzo zonke izigaba ngenxa yemithetho efana ne-CCPA, GDPR, HIPAA, ne-ISO.
Inkundla esebenza kahle nephephile ingadalwa ngokwengeza isilawuli sokufinyelela esisekelwe endimeni esithuthukisiwe kanye nokuhlinzekwa komsebenzisi okuzenzakalelayo.
Zamanani
Ungaqala ukuyisebenzisa mahhala futhi ungazama inguqulo ye-premium mahhala izinsuku eziyi-14.
4. I-SnapLogic
I-SnapLogic ivela njengembangi enamandla, enendlela entsha yokudluliswa kwedatha.
I-SnapLogic imakethwa njengesixazululo esivumelana nezimo nesilinganisekayo sokuhlanganisa idatha, esivala igebe phakathi kwemithombo yedatha ehlukahlukene, kungakhathaliseki ukuthi isendaweni noma isekelwe emafini. Kubheke njengengcweti elawula ukudluliswa kwedatha okushelelayo kuyo yonke inkampani yakho.
Ukubhekisisa izici ze-SnapLogic kuveza ukuthi inokuxhumana okwakhelwe ngaphambilini okungaphezu kuka-300, okwenza kube lula inqubo yokuhlanganisa.
Ngesixhumi esibonakalayo “sokuhudula bese usnap” esibonakalayo kanye nokusekelwa kwepayipi ledatha elithuthukisiwe le-AI, ukudluliswa kwedatha kulula futhi kuyasebenza.
I-Iris, inkundla eqhutshwa i-AI, isekelwa ulwazi lweminyaka futhi ivumela abasebenzisi ukuthi bakhe amapayipi ngokushesha okungama-40% kuya ku-60% kunamanye amasu okubukwayo futhi ngokushesha okukhulu kunokubhala amakhodi okwenziwa ngesandla.
Ukudluliswa kwedatha kuyindawo eyodwa nje yobungcweti be-SnapLogic, noma kunjalo. Mayelana nokuguqulwa kwedatha, nakho kuhola indlela.
Inika amandla izinsizakalo zedatha eqhutshwa yi-API futhi iqinisekisa ukwabelana kwedatha okulula nokusebenzisana kulo lonke ibhizinisi ngenxa yokwakhiwa kwe-API yayo ehlanganisiwe nenkundla yokuphatha.
I-SnapLogic ikubekele ukuthi ufuna ukuxhumana nedatha phakathi kwezinhlelo zokusebenza noma uphushe idatha kuzo.
Ipulatifomu iphinde inikeze amathuluzi afana ne-SnapLogic AutoSync, eyenza inqubo yokungenisa idatha ngokuzenzakalelayo isuka kuzinhlelo zokusebenza ze-SaaS iye ezindaweni zokugcina idatha zamafu ezaziwayo.
Ukwengeza, i-SnapLogic AutoPrep iqinisekisa ukuthi idatha ilungiswa kahle futhi ihlanzwa, ivumela ukuhlelwa kwedatha okusekelwe emafini, kubantu abathanda ukuguqulwa kwedatha.
Zamanani
Amanani awafakiwe kuwebhusayithi, sicela ubhukhe idemo ngamanani ayo.
5. I-IBM Informix
I-IBM Informix ihamba phambili njengethuluzi elinamandla lokuhambisa idatha. I-Informix ye-IBM iyisizindalwazi esingashumeka esithuthukiselwa kokubili idatha ye-OLTP ne-IoT, okuyenza ibe inketho evumelana nezimo kuhlu lwezidingo zedatha.
Okokuqala, yenzelwe ukuhlanganisa kalula indawo, uchungechunge lwesikhathi, i-NoSQL, SQL, nedatha ye-JSON. Lokhu kunikeza isixazululo esibanzi sokuphathwa kwedatha. Ukuba nezibalo zesikhathi sangempela ezitholakalayo kungenye yezimfanelo zakho ezihlukile.
Nge-Informix, izinkampani zinganika amandla imithwalo yomsebenzi yokwenziwayo kuzo zonke izimo, zinike amandla imininingwane esheshayo nezinqumo.
Izilungiselelo ezibaluleke kakhulu kumgomo zihlala zivuliwe ngenxa yokuphindaphindwa kwedatha yokutholakala okuphezulu (i-HADR) nokusekelwa kwamaseva esibili, okusiza ukunciphisa isikhathi sokuphumula nokwandisa umkhiqizo.
Nokho, i-Informix ingaphezu nje kwethuluzi lokuhambisa idatha.
Ukucubungula okuqhutshwa umcimbi kanye nezaziso zokusunduza ezigciniwe zenziwa zenzeke ngamakhono ayo okuphatha idatha okuzenzakalelayo, "njengama-smart trigger," ngaphandle kwesidingo sokuguqulwa kwe-schema.
Ngenxa yalokho, izinhlangano zingakha kalula imisebenzi ezenzakalelayo.
Ukwengeza, ukufakwa okuthulile kwe-Informix kanye nesidingo esincane senkumbulo (u-100 MB kuphela) sikwenza kube lula futhi kungaphazamisi ukuqalisa kumakhasimende akwazisa ukuba lula.
I-Informix nayo yadalwa kucatshangwa nge-inthanethi Yezinto. Isistimu yayo yesizindalwazi esiyingxube nezidingo eziphansi zokuphatha ziyenza ibe ukukhetha okuhle kakhulu kwemiklamo efuna ukucutshungulwa kumaleveli amaningana, kusukela kudivayisi kuye kumafu.
I-Informix ihlanganisa isivinini, ukuphepha, nokuguquguquka nokubethela komdabu okuqinisekisa ukuvikeleka kwedatha kokubili lapho uphumule futhi inyakaza, usekelo lwama-schema aguquguqukayo, nokusekelwa kwama-API ambalwa.
Zamanani
Intengo ye-premium yesikhulumi iqala ku-$1,310.00 USD/Instance.
6. Idatha ye-Hevo
I-Hevo Data igqama njengenketho eyingqayizivele, ihlinzeka ngendlela engenakungqubuzana yokuguqulwa kwedatha.
I-Hevo Data idalwe kucatshangwa ngeqembu ledatha yesimanje, futhi isebenzisa i-no-code elula isikhombimsebenzisi somsebenzisi ukuhlanganisa idatha evela emithonjeni engaphezu kuka-150 cishe ngesikhathi sangempela.
Mayelana nokusebenza, i-Hevo Data ifuna amapayipi edatha azenzakalelayo futhi aphethwe ngokugcwele. Lokhu kukuvumela ukuthi ukhiphe kalula idatha emithonjeni ehlukahlukene, njengezizindalwazi nezinhlelo zokusebenza ze-SaaS, futhi ulawule ngokunembile izikhathi zamapayipi.
Umlingo, nokho, uyaqhubeka ngemuva kokukhipha. I-Hevo Data iqinisekisa ukuthi idatha yakho ithunyelwa endaweni yakho yokugcina impahla cishe ngesikhathi sangempela, futhi ngamathuluzi afana nokuguqulwa kokulayisha kuqala, ukumepha okuzenzakalelayo kwe-schema, kanye nokuthwebula idatha (CDC), idatha yakho ihlala ingeyamanje futhi itholakalela ukuhlaziya.
Esikhathini samanje sedijithali, ukuphepha kubalulekile, futhi i-Hevo Data ayikuqiqi. Idatha yakho ivikelwe ukubethela ngasemaphethelweni kanye nohlu lwezinketho zokuxhuma ezivikelekile.
I-Hevo Data ihlola amabhokisi okuthobela e-HIPAA, SOC 2, kanye ne-GDPR, okuyizindaba ezinhle kunoma ubani okhathazekile ngokuthobela.
Kodwa okuhlukanisa ngempela i-Hevo Data ukuzinikezela kwayo ekunikezeni wonke umsebenzisi wedatha amandla.
I-Hevo Data iqinisekisa ukuthi uthola idatha oyidingayo, ngokuqondile ukuthi uyidinga nini futhi kanjani, noma ngabe ungunjiniyela wedatha, umhlaziyi, noma umsebenzisi webhizinisi.
Zamanani
Ungaqala ukuyisebenzisa mahhala futhi amanani entengo aqala kusukela ku-$239/ngenyanga (ikhokhiswa minyaka yonke).
7. I-ICEDQ
I-iCEDQ ibonakala njengenketho eqinile, yenza lula ukuthuthwa kwedatha nenqubo yokuqinisekisa. Inkundla ye-iCEDQ yadalwa ngokugxila okuqinile ekuhlolweni kwe-ETL, ukuhlolwa kwendawo yokugcina idatha, namaphrojekthi okuthutha idatha.
Ithi ithola ngokushesha futhi ilungise amaphutha edatha. Kubheke njengomhloli wekhwalithi wedatha yakho, uqinisekisa ukuthi i-byte ngayinye isesimweni sayo esifanele.
Ngokuphathelene nokusebenza, i-iCEDQ inikeza izinguqulo ezihlukahlukene ezivumelaniswe nezidingo ezahlukene.
Isibonelo, i-Standard Edition isekela ukuqinisekiswa okuthuthukisiwe nge-SQL ne-Groovy futhi yakhelwe ukuhlola nokuqinisekisa noma iyiphi ivolumu yedatha kusetshenziswa injini yenkumbulo.
Inguqulo ye-HT, eqhosha ngesivinini esifika ku-5X ngokushesha kunenguqulo evamile, iyintandokazi yawo wonke umuntu osebenza ngokusebenza okuphezulu kokuhlola inqolobane yedatha.
Kulabo abathanda idatha enkulu, i-Big Data Edition isebenzisa iqoqo le-Apache Spark ukuze inikeze ukuhlolwa kwevolumu yedatha ephezulu kokubili endaweni nakude.
Kodwa amandla e-iCEDQ adlulela ngalé kwamakhono ayo okuthatha isivivinyo. Inikeza i-automation ye-warehouse yedatha nokuhlolwa kwe-ETL, ishintsha indawo yokuqinisekisa idatha.
Ngenxa yalokho, abasebenzisi ngeke baphazanyiswe izinqubo zokuhlola mathupha futhi bangagxila ngokuphelele ekuhlonzeni nasekulungiseni izinkinga.
Ukuhlanganisa nakho kuyavumelana nezimo futhi akunazihibe ngenxa yamandla ako okuxhumanisa nemithombo yedatha engaphezu kuka-50 eyaziwa kakhulu.
Zamanani
Amanani awafakiwe kuwebhusayithi, sicela ubhukhe idemo ngamanani ayo.
8. I-Matillion
I-Matillion ihlukanisa njengesixazululo esishintsha umdlalo esidizayinelwe ngqo izimfuno zamaqembu edatha wamanje.
“Njengefu Lokukhiqiza Kwedatha,” i-Matillion isesimweni sokusheshisa umsebenzi wedatha ngokuvumela amaqembu ukuthi anikeze kalula idatha elungele ibhizinisi futhi akhe amapayipi ngokushesha okukhulu.
Ukuhlaziywa okujulile kwamakhono e-Matillion kuveza ukuthi inikeza inkundla eyodwa eyenza kokubili amakhodi nabangewona amakhodi bathuthe ngokushesha, baguqule, futhi baphathe amapayipi edatha.
Abasebenzisi bayakwazi ukudlulisa idatha kalula ukuya noma kusuka kunoma yimuphi umthombo noma inkundla yedatha yefu ngenxa yelabhulali yayo yamakhulu ezixhumi.
Ngomklami obonakalayo, onekhodi ephansi, ivumela abasebenzisi ukuthi basebenzise yonke idatha yabo futhi benze izinguquko eziyinkimbinkimbi ngokushesha nangokulula.
Umkhakha we-ETL/ELT yilapho i-Matillion ikhanya khona ngempela. Ibhekana nezinkinga ezibangelwa ama-silos wedatha ngokunikeza isisombululo se-cloud-native esihlanganisa ngokushesha nangempumelelo idatha kumapulatifomu amafu ngaphandle kokusebenzisa ikhodi.
Lokhu kuqinisekisa ukuthi idatha ayithuthwa kuphela kodwa futhi ilungiselelwa ukusetshenziswa kwebhizinisi, okusheshisa ukufinyelelwa kwezinjongo zebhizinisi.
Enye indawo lapho uMatillion enza kahle khona i-orchestration. Ngokunika amandla amakhasimende ukuthi enze ngokuzenzakalelayo, ahlele, futhi aqaphe ukugeleza kwedatha yawo esebenzisa i-no-code, i-SQL, i-Python, noma i-dbt yonke ngokusebenzisa isixhumi esibonakalayo esisodwa, iqondisa futhi yandise ukuhlelwa kwamapayipi edatha.
Ukwengeza, i-Matillion isekela ukuxhumeka kwendawo yonke, ivumela abasebenzisi ukuthi baxhume ngokushesha kunoma yimuphi umthombo wedatha, kulabo ababeka kuqala kakhulu ukuxhumana.
Zamanani
Intengo yeprimiyamu iqala ku-$2.00/ngesikweletu.
9. ikhompyutha
I-Informatica ingamandla okuqala, ahlinzeka ngesixazululo esibanzi esenziwe ngokwezifiso ezidingweni zedatha ehlukahlukene.
Njengomholi wemakethe ekuhlanganisweni kwedatha yamafu, umgomo we-Informatica uwukusiza izinhlangano ukuthi zisebenzise ngokugcwele amafa azo wedatha ngokwenza kahle futhi usheshise inqubo yokudlulisa idatha.
Ukuhlaziya izici zayo kuveza ukuthi i-Informatica inezinhlobonhlobo zezixhumi ezingahlonza ulwazi, okwenza kube lula ukwenza ukuhlanganisa okuyinkimbinkimbi.
Ngenxa yalokho, ubunkimbinkimbi obuvame ukuxhunyaniswa nokudluliswa kwedatha buyancipha futhi ukuxhumana okushelelayo phakathi komthombo nedatha eqondiwe kuyaqinisekiswa.
Nokho, amandla ayo okwehlisa phezulu kulapho kuhlala khona umlingo weqiniso. Ukuqasha i-ETL, i-ELT, i-Spark, noma enye indlela ephethwe ngokuphelele engenaseva, amabhizinisi angahlanganisa idatha kunoma yiliphi ifu nge-Informatica.
Ukwengeza, isixazululo sokuhlanganisa idatha yefu ye-Informatica senziwa ukucubungula imiqulu emikhulu yedatha efika izikhathi ezingama-72 ngokushesha endaweni yakho yamafu.
Ngenxa yalesi sivinini kanye nokusebenza kwayo okuphezulu, ukuxhumana kolwazi lwemethadatha, amafemu angakwazi ukuxhuma kunoma yiluphi uhlobo lwedatha, noma kuphi, okuhlanganisa nezinhlelo zokusebenza zamafu ezithandwa kakhulu zamanje.
I-Informatica ingaphezu nje komnotho nesivinini, noma kunjalo. Ukuhlonyiswa kwebhizinisi kuwumgomo.
Amabhizinisi angaxhuma kunoma yiluphi uhlelo lokusebenza, kungakhathaliseki ukuthi kusendaweni noma i-SaaS, ngenxa yamakhono afana nohlelo lokusebenza olusebenzayo nokuhlanganiswa kwe-API.
Emabhizinisini abeka phambili ikhwalithi yedatha, i-Informatica inikeza izixazululo ezivumela ukutholwa okusheshayo, ukulungisa, nokuqapha izinkinga zekhwalithi yedatha kukho kokubili izinhlelo zokusebenza zebhizinisi ezisekelwe emafini nasezindaweni.
Zamanani
Amanani awafakiwe kuwebhusayithi, sicela ukhulume nezindali ngamanani akho.
10. Thunga Idatha
I-Stitch Data ivela njengesixazululo esenziwe lula, esiklanyelwe ukwenza lula futhi kusheshiswe inqubo yokuthutha idatha.
Nge-Stitch Data, ebekwe njengepayipi ledatha yefu elizenzakalelayo ngokuphelele, ungakwazi ngokushesha hambisa idatha kusuka emithonjeni eminingana kuya endlini yakho yokugcina impahla ngokuchofoza okumbalwa nje, kunganaki isidingo solwazi olujulile lwe-IT.
Ngaphandle kwesidingo sombhalo, inikeza ikhono lokukhipha idatha emithonjeni engaphezu kuka-140 eyaziwa kakhulu futhi iyilethe ngokushesha kusizindalwazi sakho noma endaweni yokugcina impahla.
Lokhu kuqinisekisa ukuthi izinkampani zingakwazi ukuhlanganisa idatha yazo efihliwe, zithole umthombo owodwa weqiniso ovuselelwa njalo futhi otholakalayo ukuze uhlaziywe.
Kodwa idizayini ye-Stitch Data engenakulungiswa yilapho amandla ayo eqiniso ehlala khona. Njengoba amapayipi ayo akhelwe ukuthi athuthuke ngokuzenzakalelayo nangokuqhubekayo, izinhlangano zingagxila ekutholeni ulwazi kunokuba zicijwe ubunzima be-IT.
I-Stitch Data iphinde ibeke phambili kakhulu ekuvikelekeni nasekuthembekeni. Abasebenzisi bangaqiniseka ekuzinikeleni kwenkundla ekuphepheni kwedatha ngenxa yezitifiketi ezifana ne-SOC 2 Type II, HIPAA BAA, ISO/IEC 27001, GDPR, ne-CCPA.
Ukuthembeka kwayo kuphinde kuboniswe yi-99% yesistimu yesikhathi sokuphumula ye-SLA, eqinisekisa ukudluliswa kwedatha okungaphazamiseki.
Zamanani
Intengo yeprimiyamu iqala kusuka ku-$100/ngenyanga.
11. I-Arcion
I-Arcion ibonakala njengesixazululo sesimanje sokuthutha idatha.
Ukuqinisekisa ukuguqulwa kwedatha okungenazihibe futhi okusebenzayo, le nkundla yendabuko yamafu idalwe ukuze kugcwaliswe igebe phakathi kwezinhlelo zomlando nezakhiwo zamanje ezisekelwe ngamafu.
Kuthenjiswa ukuthuthwa kwedatha okunesikhathi esincane sokuphumula, okuyinzuzo ebalulekile ezinkampanini ezingakwazi ukukhokhela noma yikuphi ukuphazamiseka.
Inweba emandleni ayo, i-Arcion inikeza isixhumi esibonakalayo esicishe sibe yi-zero-code esisheshisa futhi sinciphise izindleko ze-c.ukuguqulwa.
Amabhizinisi angasebenzisa ukubambezeleka okuphansi kwe-Shintsha Data Capture (CDC) nokuguqulwa okuzenzakalelayo kwe-schema nge-Arcion ukuze kugcinwe ukuvumelana kwedatha nobuqotho ngesikhathi sokuthutha.
Ngisho noma usebenza ngedatha eyinkimbinkimbi, enesakhiwo esilinganayo, inkundla yakhelwe ukulinganisa nokuthembeka. Ivumela amabhizinisi ukuthi adlulise ngokushesha idatha phakathi kwezinhlelo zomthombo nendawo.
I-Arcion futhi isiza ukudluliswa kwedatha okulula kusuka kudathabhethi yakudala kuya ezinhlelweni zamanje, kusheshiswe inqubo yokuguqulwa kwedijithali.
Amandla ayo okuhumusha ngokuguquguqukayo ama-schema esizindalwazi phakathi kwe-SQL nabahlinzeki be-NoSQL aqinisa lokhu nakakhulu ngokususa izithiyo ezivamile zokudlulisa.
Idizayini ehambisana kakhulu ye-Arcion ingenye into ephawulekayo eqinisekisa ukunyakaza kwedatha ngokushesha kungakhathaliseki inani noma inkimbinkimbi yomsebenzi.
Ukwengeza, i-Arcion iqinisekisa ukuthi ngeke kube khona ukulahleka kwedatha, ngisho nasezimeni zokuhluleka kwesistimu noma ukuphahlazeka, ezinkampanini ezikhathazekile ngokungaguquguquki kwedatha.
Zamanani
Intengo ayifakwanga kuwebhusayithi, kodwa ungathola isilinganiso senani esigabeni samanani.
12. Rivery
U-Rivery ugqama njengesixazululo esiyingqayizivele esiklanyelwe ukubhekana nezinselele zokudluliswa kwedatha.
I-Rivery ubuchwepheshe obusekelwe emafini obudalwe ukwenza kube lula futhi ukubambezeleka okuphansi kakhulu ukuthutha umthamo omkhulu wedatha yolwazi efwini.
Inikeza isu lokuthuthela kusizindalwazi esinomthelela ophansi, iqinisekisa ukuthi izinhlangano zisebenzisa idatha yakamuva kakhulu.
Ukuvumelanisa idatha yesikhathi sangempela kwenziwa kwenzeke ngamandla ka-Rivery's Change Data Capture (CDC), aphinde alawule ukukhukhuleka kwe-schema ukuze kutholwe futhi kulungiswe izinguquko zesizindalwazi esisha.
Lokhu kuqinisekisa ukuthi idatha inembile futhi ayiguquki ngisho nalapho umthombo ushintsha. Nokho, amakhono ka-Rivery adlulela ngalé kokuvumelanisa idatha okulula.
Abasebenzisi bangakwazi ukuphindaphinda idatha ngokubonga okuphelele kokulawula kuzici zayo zokuthuthwa kwesizindalwazi esicushwe kahle.
U-Rivery ukunika inketho yokwenza inqubo yokuthuthela ifanelekele izidingo zakho ezihlukile, noma ngabe usebenzisa imibuzo yangokwezifiso, ukukhetha kwedatha eluhlaza, noma amakholomu abaliwe.
Ngaphezu kwalokho, noma ngabe isizindalwazi sakho sisendaweni noma isefwini, u-Rivery unikeza ukudluliswa kwesizindalwazi okuthembekile nokuphephile.
Ukwengeza, u-Rivery uvumela ukufuduka kwesizindalwazi kusuka endaweni kuya kumasistimu asekelwe emafini.
U-Rivery angakusiza ngokuphindaphinda kwefu-kuya-kumafu noma ukuthuthwa kwesizindalwazi esihlobene njenge-Oracle, i-MySQL, i-Microsoft SQL Server, i-PostgreSQL, ne-MongoDB kunqolobane yedatha yamafu.
Amabhizinisi angakhetha indlela ehlangabezana kangcono nezidingo zawo, noma aze axube kokubili ukuze athole imiphumela ehamba phambili, ngenxa yokusekelwa kwawo kokubili ukukhishwa okusekelwe ku-SQL kanye ne-CDC.
Zamanani
Intengo ye-premium yenkundla iqala ku-$0.75Per RPU yekhredithi.
Isiphetho
Ubuchwepheshe bokuhlola ukuthuthwa kwedatha manje bubalulekile emhlabeni oshintsha njalo wokuphathwa kwedatha.
Lezi zixazululo ziqinisekisa ukulunga nobuqotho bedatha edluliswayo kuwo wonke amasistimu kuyilapho kulungiswa inqubo.
Akunakwenzeka ukulinganisa ngokweqile ukubaluleka kokunyakaza kwedatha okushelelayo, okungenaphutha njengoba izinhlangano zincike kakhulu emininingwaneni eqhutshwa idatha.
Izixazululo eziqinile zihlinzekwa ngamathuluzi afana no-Rivery, i-Informatica, ne-Matillion, phakathi kokunye, afanele izidingo zebhizinisi ezahlukene.
Sengiphetha, yonke inkampani efuna ukuqhubeka nokuncintisana emhlabeni wanamuhla ogxile kudatha kufanele itshale imali kusixazululo esinokwethenjelwa sokuhlola ukuthuthwa kwedatha. Lokhu kungaphezu nje kwesinqumo esiphusile.
shiya impendulo