M'ndandanda wazopezekamo[Bisani][Show]
Mtambo tsopano ndi gawo lofunikira pakuyendetsa mabizinesi amakono m'nthawi ya intaneti.
Silinso liwu lachikalekale. Kufunika kwa matekinoloje osuntha deta sikungatsimikizidwe pamene gulu lathu likuyandikira kukhala pakati pa mtambo.
Lingalirani zosamukira ku nyumba yatsopano. Katundu wanu ayenera kufika pamalo awo atsopano osawonongeka ndikukhala bwino popanda vuto, choncho ndondomekoyi imaphatikizapo zambiri kuposa kungosuntha.
Mofanana ndi izi, mabungwe amasamutsa deta yawo m'njira zambiri kuposa imodzi akamasuntha, makamaka kumtambo.
Iwo akutsimikizira kusamutsa bwino, kupitiriza kupezeka, ndi kusakanikirana koyenera ndi malo atsopano kwa chidziwitso chawo chamtengo wapatali ndi chuma cha digito.
Tiyeni tsopano tikambirane za mtambo. Ndi yayikulu, yamphamvu, ndipo imapereka scalability yosayerekezeka. Koma kusuntha deta kumtambo sikophweka monga kungoyika mafayilo pamenepo.
Ndi njira yovuta yomwe imafuna kukonzekera bwino, kuchitidwa, ndi kuyang'anira. Zida zosinthira deta ndizothandiza panthawiyi.
Zimagwira ntchito ngati mlatho, zomwe zimathandizira kusamutsa deta pamapulatifomu angapo amtambo kapena kuchokera pamakina apanyumba kupita kumadera amtambo.
Deta, pambuyo pake, ndizomwe zimapangitsa kampani iliyonse kukhala yamoyo. Imakhudza zosankha, imathandizira mapulogalamu, ndipo imakhala ndi chidziwitso chamtengo wapatali.
Zowopsa zitha kuchitika chifukwa chosokonekera, kutaya, kapena katangale wa datayi pakusintha. Chifukwa chake, chidwi kwambiri ndi zida zodalirika.
Izi ndi zoposa zidutswa za mapulogalamu; amachita ngati oyang'anira kukhulupirika kwa deta, kuonetsetsa kuti deta yonse imasungidwa mu mawonekedwe ake oyambirira pambuyo pa kusamutsa.
Kugwirizana kwadongosolo kumakhalanso kofunikira chifukwa chamitundu yambiri yamapulatifomu ndi mapulogalamu.
Amalonda sakufuna kudziwa pambuyo posuntha kuti deta yawo sikugwira ntchito ndi machitidwe atsopano.
Chifukwa chake, kuti tithandizire kampani yanu kuyang'anira kayendetsedwe ka data kuchokera papulatifomu kupita pa ina, tasankha njira zapamwamba zosinthira deta.
1. AWS Data Pipeline
AWS Data Pipeline imatuluka ngati mtsogoleri pakusamuka kwa data. Ntchito yapaintaneti yopangidwa ndi Amazon idapangidwa makamaka kuti iwonetsetse kukonzedwa kotetezeka ndi kusamutsa deta pakati pa ma AWS osiyanasiyana amakompyuta ndi ntchito zosungirako komanso magwero a data pamalopo.
Ndizofanana ndi kutumiza zambiri pa netiweki ya AWS yayikulu pakanthawi kokonzedweratu kupita kumalo monga Amazon S3, Amazon RDS, DynamoDB, kapena EMR.
Poyamba, imamangidwa pamapangidwe olimba, ogawidwa, omwe amatsimikizira kugwira ntchito kosalekeza.
Chifukwa chake amamangidwa kuti ayeserenso pokhapokha ngati vuto lachitika, ndipo ngati mavuto apitilira, amachenjeza ogwiritsa ntchito kulephera.
Ndi zinthu monga Amazon Simple Notification Service (Amazon SNS), zomwe zimadziwitsa makasitomala za momwe deta yawo ikuyendera, kudalirika kumeneku kumapita patsogolo.
Kuwonjezera kwina ndi momwe kulili kosavuta kugwiritsa ntchito. Ndi chitonthozo chake chokoka ndi kugwetsa, kupanga mapaipi ndi kamphepo. Kuphatikiza apo, ili ndi zoyambira zomangidwira, motero kulingalira kowonjezera sikofunikira.
Kuphatikiza apo, AWS Data Pipeline imapereka laibulale ya ma tempuleti osinthidwa, kupangitsa kuti zikhale zosavuta kumaliza ntchito monga kukonza mafayilo a chipika kapena kufunsa mafunso mobwerezabwereza a SQL.
AWS Data Pipeline idamangidwa pamaziko osinthika. Kusuntha deta ndi mbali imodzi yokha; kuchita mwanjira yanu ndi ina.
Zakuuzani ngati mukufuna kugwiritsa ntchito Amazon EC2 kuyendetsa mapulogalamu a bespoke, mafunso a SQL, kapena ntchito za Amazon EMR.
Koma chachikulu kwambiri? Imakula mosavuta. AWS Data Pipeline imagwira ntchito yokonza fayilo imodzi kapena mafayilo miliyoni imodzi mosavuta.
mitengo
Mitengo ya US East yokhala ndi ma frequency apamwamba imayambira pa $1.00 pamwezi.
2. Integrate.io
Integrate.io imakhazikitsa ngati mtsogoleri pakusamutsa deta ndikusintha. Izi nsanja imapereka palibe-code njira yothetsera mapaipi a data, kufewetsa ulendo wathunthu wa data, ndipo idapangidwira magulu amakono a data.
Ganizirani za chida chomwe sichimangotengera deta, komanso chimatsimikizira kuti ndi chotetezeka, chosaipitsidwa, komanso chokonzekera kupanga zisankho. Ndi zimenezotu, Integrate.io.
Chida chopanda code cha ETL (Extract, Transform, Load) ndi chimodzi mwazinthu zapadera. Kukonzekera kwa data ndi kuwongolera kumapangidwa kukhala kosavuta ndi mawonekedwe akukoka-ndi-kugwetsa.
Koma zimapitirira kuposa pamenepo. Gwero losasinthika komanso lodalirika loperekera malipoti limatsimikiziridwa ndi Integrate.io's ELT (Extract, Load, Transform) data replication, yomwe ndiyofulumira kwambiri pamsika.
Pulatifomuyi imaperekanso makina odzipangira okha, otetezedwa a REST API, omwe amathandizira kuwerengera / kulemba mwachangu REST API.
Izi zimakulitsa malonda anu a data, ndikupangitsa kuti deta ikhale yosavuta komanso yopezeka.
Kwa iwo omwe amaika patsogolo kwambiri zamtundu wa data, kuwunika kwa data kwa Integrate.io, kuyang'anira, ndi zida zama alamu zimatsimikizira kuti mutha kukhala otsimikiza kuti deta yanu ndi yolondola.
Koma kusinthasintha kwa Integrate.io ndizomwe zimapangitsa kuti ziwonekere.
Amapangidwa kuti akuthandizeni paulendo wonse wa data, kuyambira pakuyika deta pakati pakuwonetsa zidziwitso mpaka kuigwiritsa ntchito pamakina ovuta komanso kupanga mapulogalamu oyendetsedwa ndi data.
Ndi nsanja yolumikizana yopanda ma code yomwe mabungwe amakono akhala akuyembekezera, ndi kuthekera kolumikizana ndi magwero opitilira 150+ ndi komwe akupita.
mitengo
Imapereka mitundu ingapo yamitengo pazosowa zosiyanasiyana ndipo mitengo ya ETL & Reverse ETL imayambira $1500/chaka.
3. Wachisanu
Fivetran yadzikhazikitsa ngati yankho lodziwika bwino losamutsa deta.
Fivetran, yomwe imadzipangira ngati "pulatifomu yoyendetsera deta," imawonedwa ngati bwenzi lodalirika ndi makampani osiyanasiyana, kuyambira mabehemoth a Fortune 500 mpaka ongoyamba kumene.
Mphamvu zake zazikulu zimabwera chifukwa cha kuthekera kwake kusonkhanitsa, kunyamula, ndikusintha deta kuchokera kuzinthu zosiyanasiyana, kuonetsetsa kuti ndi yokonzeka kusanthula kapena kugwira ntchito.
Kufufuza mozama za kuthekera kwake kumasonyeza kuti Fivetran amapereka zoposa 300 zomangidwiratu, zolumikizira zopanda code, kuphweka njira yophatikizira deta.
Kuwongolera kwa schema drift, kuphatikiza kusintha kwa data ndi zosintha, ndi zina mwazinthu zake zodziwika bwino ndikutsimikizira kusasinthika kwa data.
Kuphatikiza apo, kusonkhanitsa kwake kothandiza kwa data kumapereka kusamuka kwa data mwachangu komanso kocheperako, komwe kuli koyenera kwamakampani omwe amafunikira kusintha kwanthawi yeniyeni.
Komabe, Fivetran amachita zambiri kuposa kungosamutsa deta. Ndi za kusintha. Kusintha kwa data kumapangidwa kukhala kosavuta mothandizidwa ndi matekinoloje monga mitundu ya data ya Quickstart ndi kuphatikiza kwamitundu yapadera ya dbt Core.
Kuphatikiza apo, Fivetran wakuphimbani ngati chitetezo chikudetsa nkhawa. Kutetezedwa kwa data kumatsimikiziridwa pagawo lililonse chifukwa cha malamulo monga CCPA, GDPR, HIPAA, ndi ISO.
Pulatifomu yomwe ili yothandiza komanso yotetezeka imatha kupangidwa powonjezera njira zowongolera zofikira komanso kugwiritsa ntchito ogwiritsa ntchito okha.
mitengo
Mutha kuyamba kugwiritsa ntchito kwaulere ndipo mutha kuyesa mtundu waulere kwaulere kwa masiku 14.
4. Zithunzi za SnapLogic
SnapLogic imatuluka ngati mpikisano wamphamvu, ndi njira yatsopano yosamutsa deta.
SnapLogic imagulitsidwa ngati njira yosinthika komanso yowopsa yolumikizira deta, kutsekereza kusiyana pakati pa magwero osiyanasiyana a data, kaya ali pamalopo kapena pamtambo. Lingalirani ngati katswiri wowongolera kusamutsa kwa data pakampani yanu yonse.
Kuyang'anitsitsa kwa SnapLogic kukuwonetsa kuti ili ndi maulumikizidwe opitilira 300 omwe adamangidwa kale, omwe amawongolera njira yophatikizira.
Ndi mawonekedwe ake odziwika "koka-ndi-snap" ndi chithandizo cha mapaipi a AI opititsa patsogolo deta, kutumiza deta ndikosavuta komanso kothandiza.
Iris, nsanja yoyendetsedwa ndi AI, imathandizidwa ndi chidziwitso chazaka zambiri ndipo imathandizira ogwiritsa ntchito kupanga mapaipi 40% mpaka 60% mwachangu kuposa ndi njira zina zowonera komanso mwachangu kuposa momwe amalembera pamanja.
Kusamutsa deta ndi gawo limodzi chabe laukadaulo wa SnapLogic, ngakhale. Pankhani ya kusintha kwa deta, imatsogoleranso njira.
Imathandizira ma data amphamvu oyendetsedwa ndi API ndikuwonetsetsa kugawana deta mosavuta ndi mgwirizano pabizinesi yonse chifukwa chakupanga kwake API yophatikizika ndi nsanja yoyang'anira.
SnapLogic yakuphimbani ngati mukufuna kulumikizana ndi data pakati pa mapulogalamu kapena kukankhira deta kwa iwo.
Pulatifomuyi imaperekanso zida monga SnapLogic AutoSync, yomwe imagwiritsa ntchito njira yotumizira deta kuchokera ku mapulogalamu a SaaS kupita kumalo osungiramo data odziwika bwino amtambo.
Kuphatikiza apo, SnapLogic AutoPrep imawonetsetsa kuti deta yakonzedwa bwino ndikutsukidwa, ndikupangitsa kuyitanitsa kwa data kuchokera pamtambo, kwa anthu omwe ali ndi chidwi ndi kusintha kwa data.
mitengo
Mitengo sinalembedwe patsamba, chonde sungani chiwonetsero chamitengo yake.
5. IBM Informix
IBM Informix imapambana ngati chida champhamvu chosuntha deta. Informix ya IBM ndi nkhokwe yosungidwa yomwe imakongoletsedwa ndi data ya OLTP ndi IoT, ndikupangitsa kuti ikhale njira yosinthika pamitundu yosiyanasiyana ya data.
Poyamba, amapangidwa kuti aziphatikiza mosagwirizana ndi malo, mndandanda wanthawi, NoSQL, SQL, ndi data ya JSON. Izi zimapereka yankho latsatanetsatane la kasamalidwe ka data. Kukhala ndi ma analytics enieni omwe alipo ndi amodzi mwamakhalidwe ake apadera.
Ndi Informix, makampani amatha kupatsa mphamvu zochulukira m'malo osiyanasiyana, ndikupangitsa kuzindikira mwachangu komanso zisankho.
Zokonda-zofunikira kwambiri nthawi zonse zimakhala chifukwa cha kubwereza kwa data (HADR) komanso kuthandizira ma seva achiwiri, zomwe zimathandiza kuchepetsa nthawi yopuma ndikuwonjezera zokolola.
Komabe, Informix sichiri chida chosinthira deta.
Kukonzekera koyendetsedwa ndi zochitika ndi zidziwitso zokankhira pa database zimatheka chifukwa cha luso lake loyang'anira deta, monga "smart triggers," popanda kufunikira kwa kusintha kwa schema.
Zotsatira zake, mabungwe amatha kupanga mosavuta ntchito zongopanga zokha.
Kuphatikiza apo, kukhazikitsa mwakachetechete kwa Informix ndikusowa kukumbukira pang'ono (100 MB) kumapangitsa kuti zikhale zosavuta komanso zosasokoneza kukhazikitsa kwa makasitomala omwe amafunikira kuphweka.
Informix idapangidwanso ndi intaneti ya Zinthu. Dongosolo lake la hybrid database ndi zosowa zochepa zoyang'anira zimapangitsa kukhala chisankho chabwino kwambiri pamapangidwe omwe amafunikira kukonzedwa pamagawo angapo, kuchokera ku chipangizo kupita kumtambo.
Informix imaphatikiza liwiro, chitetezo, ndi kusinthasintha ndi kubisa kwachilengedwe komwe kumatsimikizira chitetezo cha data popuma komanso poyenda, kuthandizira ma schema osinthika, ndikuthandizira ma API angapo.
mitengo
Mitengo yamtengo wapatali ya nsanja imayambira pa $1,310.00 USD/Instance.
6. Hevo Data
Hevo Data imadziwika ngati njira yapadera, yopereka njira yopanda mikangano yosinthira deta.
Hevo Data idapangidwa ndi gulu lamakono la data, ndipo imagwiritsa ntchito nambala yosavuta mawonekedwe a mawonekedwe kuphatikizira deta kuchokera ku magwero oposa 150 pafupifupi nthawi yeniyeni.
Pankhani ya magwiridwe antchito, Hevo Data imati ndi mapaipi a data okhazikika komanso oyendetsedwa bwino. Izi zimakupatsani mwayi wochotsa deta kuchokera kuzinthu zosiyanasiyana, monga ma database ndi mapulogalamu a SaaS, ndikuwongolera bwino nthawi yamapaipi.
Matsenga, komabe, amapitilira pambuyo pochotsa. Hevo Data imatsimikizira kuti deta yanu imatumizidwa ku nyumba yanu yosungiramo zinthu pafupifupi nthawi yeniyeni, ndipo ndi zida monga zosintha zodzaza, kupanga mapu a schema, ndi kusintha kwa data (CDC), deta yanu nthawi zonse imakhala yaposachedwa komanso yopezeka pofufuza.
M'nthawi yamakono ya digito, chitetezo ndichofunika, ndipo Hevo Data sichimayimbapo. Deta yanu imatetezedwa ndi kubisa komaliza mpaka kumapeto komanso zosankha zingapo zotetezedwa.
Hevo Data imayang'ana mabokosi otsata a HIPAA, SOC 2, ndi GDPR, yomwe ndi nkhani yabwino kwa aliyense amene ali ndi nkhawa kuti azitsatira.
Koma chomwe chimasiyanitsa Hevo Data ndikudzipereka kwake kupatsa mphamvu aliyense wogwiritsa ntchito deta.
Hevo Data imaonetsetsa kuti mwalandira zomwe mukufuna, nthawi yeniyeni komanso momwe mukuzifuna, kaya ndinu injiniya wa data, katswiri, kapena wogwiritsa ntchito bizinesi.
mitengo
Mutha kuyamba kuigwiritsa ntchito kwaulere ndipo mitengo yamtengo wapatali imayambira pa $239/mwezi (malipiridwa pachaka).
7. Mtengo wa ICEDQ
iCEDQ ikuwoneka ngati njira yamphamvu, yochepetsera kusamuka kwa data ndi ndondomeko yovomerezeka. Pulatifomu ya iCEDQ idapangidwa ndikuyang'ana kwambiri kuyesa kwa ETL, kuyesa kwa malo osungiramo data, ndi ma projekiti osuntha deta.
Imati imapeza mwachangu ndikukonza zolakwika za data. Lingalireni ngati chowunikira cha data yanu, kuwonetsetsa kuti byte iliyonse ili mumkhalidwe wake woyenera.
Ponena za magwiridwe antchito, iCEDQ imapereka mitundu yosiyanasiyana yomwe imasinthidwa pazofunikira zosiyanasiyana.
Mwachitsanzo, Standard Edition imathandizira kutsimikizika kwapamwamba ndi SQL ndi Groovy ndipo imapangidwa kuti iyese ndikutsimikizira kuchuluka kwa deta iliyonse pogwiritsa ntchito injini yokumbukira.
Mtundu wa HT, womwe umadzitamandira mpaka 5X mwachangu kuposa mtundu wamba, ndiwosangalatsa kwa aliyense amene akugwira ntchito yoyesa malo osungiramo zinthu zakale.
Kwa iwo omwe amakonda deta yayikulu, Big Data Edition amagwiritsa ntchito gulu la Apache Spark kuti apereke kuyesa kwa kuchuluka kwa data komweko komanso kutali.
Koma mphamvu ya iCEDQ imapitilira luso lake loyesa mayeso. Imapereka makina osungiramo data ndi kuyesa kwa ETL, kusintha malo otsimikizira deta.
Zotsatira zake, ogwiritsa ntchito sangasokonezedwe ndi njira zoyesera pamanja ndipo amatha kuyang'ana kwambiri kuzindikira ndi kukonza zovuta.
Kuphatikiza kumakhalanso kosavuta komanso kosasunthika chifukwa cha mphamvu yake yolumikizana ndi magwero opitilira 50 odziwika bwino.
mitengo
Mitengo sinalembedwe patsamba, chonde sungani chiwonetsero chamitengo yake.
8. Miliyoni
Matillion amasiyanitsa ngati njira yosinthira masewera yomwe idapangidwa kuti ikwaniritse zofuna zamagulu amakono a data.
Monga "Mtambo Wopanga Zambiri," Matillion ali ndi mwayi wofulumizitsa ntchito ya data polola magulu kuti azipereka deta yokonzekera bizinesi ndikupanga mapaipi mwachangu.
Kufufuza mozama za kuthekera kwa Matillion kumawonetsa kuti imapereka nsanja imodzi yomwe imathandizira ma coders ndi omwe sali ma coders kuti azitha kunyamula, kusintha, ndikuwongolera mapaipi a data.
Ogwiritsa amatha kusamutsa deta mosavuta kupita ndi kuchokera kulikonse kapena nsanja ya data yamtambo chifukwa cha laibulale yake ya mazana olumikizira.
Kupyolera mu zojambula zowoneka, zotsika, zimathandiza ogwiritsa ntchito kugwiritsira ntchito deta yawo yonse ndikusintha zosintha mwachangu komanso mosavuta.
Gawo la ETL/ELT ndipamene Matillion amawala. Imalimbana ndi zovuta zomwe zimayambitsidwa ndi ma silos a data popereka yankho lamtambo lomwe limaphatikiza mwachangu komanso moyenera deta pamapulatifomu amtambo popanda kugwiritsa ntchito kachidindo.
Izi zimatsimikizira kuti deta sikuti imatengedwa kokha komanso kukonzekera kugwiritsidwa ntchito kwa bizinesi, kufulumizitsa kukwaniritsa zolinga zamalonda.
Dera lina lomwe Matillion amapambana ndi orchestration. Mwa kupatsa makasitomala mwayi wodzipangira okha, kukonzekera, ndi kuyang'anira kayendedwe ka deta yawo pogwiritsa ntchito no-code, SQL, Python, kapena dbt kupyolera mu mawonekedwe amodzi, imayenda bwino ndikukulitsa kuyika kwa mapaipi a deta.
Kuphatikiza apo, Matillion imathandizira kulumikizana konsekonse, kupangitsa ogwiritsa ntchito kulumikizana mwachangu kugwero lililonse la data, kwa iwo omwe amaika patsogolo kwambiri kulumikizana.
mitengo
Mitengo imayambira pa $2.00/ngongole.
9. kompyuta
Informatica ndi gulu lochita upainiya, lomwe limapereka yankho lathunthu logwirizana ndi zosowa zosiyanasiyana za data.
Monga mtsogoleri wamsika pakuphatikiza deta yamtambo, ntchito ya Informatica ndikuthandizira mabungwe kugwiritsa ntchito mokwanira zinthu zawo powongolera ndikufulumizitsa njira yotumizira deta.
Kuwunika mawonekedwe ake kukuwonetsa kuti Informatica ili ndi zolumikizira zingapo zomwe zimatha kuzindikira zambiri, zomwe zimapangitsa kuti zikhale zosavuta kuchita zophatikizira zovuta.
Zotsatira zake, zovuta zomwe zimagwirizanitsidwa nthawi zambiri ndi kusamutsa deta zimachepa ndipo kugwirizana bwino pakati pa gwero ndi deta yowunikira kumatsimikiziridwa.
Komabe, mphamvu yake yotsika pamwamba ndi pamene matsenga enieni amakhala. Kugwiritsa ntchito ETL, ELT, Spark, kapenanso njira ina yopanda seva, mabizinesi amatha kuphatikiza zambiri pamtambo uliwonse ndi Informatica.
Kuphatikiza apo, yankho la Informatica mtambo lophatikiza data limapangidwa kuti lizitha kukonza zambiri mpaka nthawi 72 mwachangu mkati mwamtambo wanu.
Chifukwa cha liwiroli komanso magwiridwe ake apamwamba, maulumikizidwe odziwa metadata, makampani amatha kulumikizana ndi data yamtundu uliwonse, kulikonse, kuphatikiza mapulogalamu omwe amakonda kwambiri amtambo apano.
Informatica ndi yoposa chuma komanso liwiro, komabe. Kulimbikitsa bizinesi ndiye cholinga.
Mabizinesi amatha kulumikizana ndi pulogalamu iliyonse, kaya ndi pamalopo kapena SaaS, chifukwa cha kuthekera ngati pulogalamu yothandiza komanso kuphatikiza kwa API.
Kwa mabizinesi omwe amaika patsogolo kwambiri zamtundu wa data, Informatica imapereka mayankho omwe amathandizira kuzindikira, kukonza, ndi kuyang'anira zovuta zamtundu wa data pamabizinesi amtambo komanso apanyumba.
mitengo
Mitengo sinalembedwe patsamba, chonde lankhulani ndi malonda chifukwa cha mitengo yake.
10. Stitch Data
Stitch Data imatuluka ngati yankho losavuta, lopangidwa kuti lichepetse ndikufulumizitsa kusamuka kwa data.
Ndi Stitch Data, yomwe ili ngati payipi ya data yamtambo yokhayokha, mutha mwachangu kusamuka deta kuchokera kumagwero angapo kupita kunkhokwe yanu ndikungodina pang'ono, kunyalanyaza kufunikira kwa chidziwitso chakuya cha IT.
Popanda kufunikira kwa zolemba, zimapereka mwayi wochotsa deta kuchokera kuzinthu zodziwika bwino za 140 ndikuzipereka mwamsanga ku database yanu kapena nyumba yosungiramo katundu.
Izi zimatsimikizira kuti makampani atha kuphatikizira deta yawo yosungidwa, kukhazikitsa gwero limodzi lachowonadi lomwe limasinthidwa nthawi zonse ndikupezeka kuti liwunikenso.
Koma kapangidwe kopanda kukonza kwa Stitch Data ndi komwe kumakhala mphamvu zake zenizeni. Popeza mapaipi ake amapangidwa kuti azisintha zokha komanso mosalekeza, mabungwe amatha kuyang'ana kwambiri kudziwa zambiri m'malo movutitsidwa ndi zovuta za IT.
Stitch Data imayikanso patsogolo kwambiri pachitetezo ndi kudalirika. Ogwiritsa ntchito amatha kukhala ndi chidaliro pakudzipereka kwa nsanja pachitetezo cha data chifukwa cha ziphaso monga SOC 2 Type II, HIPAA BAA, ISO/IEC 27001, GDPR, ndi CCPA.
Kudalirika kwake kumasonyezedwanso ndi 99% uptime system SLA, yomwe imatsimikizira kusamutsidwa kwa data kosasokonezeka.
mitengo
Mitengo imayambira pa $100/mwezi.
11. Arcion
Arcion ikuwoneka ngati njira yothetsera kusamuka kwa data.
Pofuna kutsimikizira kusintha kwa deta kosasunthika komanso kogwira mtima, nsanja iyi yamtambo inapangidwa kuti ikwaniritse kusiyana pakati pa machitidwe a mbiri yakale ndi zomangamanga zamakono zamakono.
Kusamuka kwa data komwe kulibe nthawi yocheperako kumalonjezedwa, zomwe ndi phindu lalikulu kwa makampani omwe sangakwanitse kusokoneza.
Kukulitsa luso lake, Arcion imapereka mawonekedwe pafupifupi zero-code omwe amathamanga ndikuchepetsa mtengo wa c.kusintha.
Mabizinesi atha kugwiritsa ntchito low-latency Change Data Capture (CDC) ndi kutembenuka kwa schema ndi Arcion kuti asunge kusasinthika kwa data komanso kukhulupirika pakusamuka.
Ngakhale pogwira ntchito ndi zovuta, zosanjika pang'ono, nsanja idapangidwa kuti ikhale yodalirika komanso yodalirika. Zimathandizira mabizinesi kusamutsa mwachangu deta pakati pa gwero ndi komwe akupita.
Arcion imathandiziranso kusamutsidwa kosavuta kwa data kuchokera ku nkhokwe zakale kupita ku machitidwe amakono, kufulumizitsa njira yosinthira digito.
Kuthekera kwake kumasulira mwachangu ma schemas a database pakati pa opereka SQL ndi NoSQL kumalimbitsa izi pochotsa zopinga wamba kuti asamutsidwe.
Mapangidwe ofanana kwambiri a Arcion ndi chinthu china chodziwika bwino chomwe chimatsimikizira kusuntha kwa data mwachangu mosasamala kanthu za kuchuluka kapena zovuta za ntchitoyo.
Kuphatikiza apo, Arcion imatsimikizira kuti sipadzakhala kutayika kwa data, ngakhale zitalephera dongosolo kapena kuwonongeka, kwamakampani omwe akuda nkhawa ndi kusasinthika kwa data.
mitengo
Mitengo sinalembedwe patsamba, koma mutha kupeza kuyerekezera kwamitengo mugawo lamitengo.
12. Mtsinje
Rivery amawonekera ngati yankho lapadera lomwe lapangidwa kuti lithane ndi zovuta za kusamutsa deta.
Rivery ndiukadaulo wopangidwa ndi mtambo womwe udapangidwa kuti ukhale wosavuta komanso wotsika kwambiri kuti utumize kuchuluka kwa database kupita kumtambo.
Amapereka njira yochepetsera kusuntha kwa database, kuwonetsetsa kuti mabungwe amagwiritsa ntchito zomwe zachitika posachedwa.
Kulunzanitsa kwa data zenizeni zenizeni kumatheka chifukwa cha kuthekera kwa Rivery's Change Data Capture (CDC), komwe kumayang'aniranso schema drift kuti ipeze ndikuwongolera zosintha zatsopano za database.
Izi zimatsimikizira kuti deta ndi yolondola komanso yosasinthasintha ngakhale pamene gwero likusintha. Komabe, luso la Rivery limapitilira kulunzanitsa kosavuta kwa data.
Ogwiritsa ntchito amatha kubwereza deta ndikuwongolera kwathunthu chifukwa cha mawonekedwe ake osunthika osunthika.
Rivery amakupatsani mwayi wosankha kusamuka kuti zigwirizane ndi zosowa zanu zapadera, kaya pogwiritsa ntchito mafunso omwe mwasankha, kusankha kwa data yosasinthika, kapena magawo owerengera.
Kuphatikiza apo, ngakhale nkhokwe yanu ili pamalopo kapena pamtambo, Rivery amapereka kusamutsa kodalirika komanso kotetezeka.
Kuphatikiza apo, Rivery amalola kusamuka kwa database kuchokera pamalopo kupita kumakina amtambo.
Rivery atha kukuthandizani ndi kubwereza kwamtambo-ku-mtambo kapena kusamuka kwa nkhokwe zamaubale monga Oracle, MySQL, Microsoft SQL Server, PostgreSQL, ndi MongoDB kupita kumalo osungiramo zinthu zamtambo.
Mabizinesi amatha kusankha njira yomwe ikugwirizana bwino ndi zosowa zawo, kapena kusakaniza zonsezo kuti zitheke bwino, chifukwa chothandizira kutulutsa kochokera ku SQL ndi CDC.
mitengo
Mitengo yamapulogalamuyi imayambira pa $0.75Per RPU ngongole.
Kutsiliza
Ukadaulo woyesa kusamuka kwa data tsopano ndiwofunikira m'dziko lomwe likusintha nthawi zonse la kasamalidwe ka data.
Mayankho awa amatsimikizira kulondola ndi kukhulupirika kwa deta yomwe imasamutsidwa pamakina onse komanso kuwongolera njirayo.
Sizingatheke kuyerekeza kufunikira kwa kayendetsedwe ka deta kosalala, kopanda zolakwika popeza mabungwe amadalira kwambiri zidziwitso zoyendetsedwa ndi data.
Mayankho amphamvu amaperekedwa ndi zida monga Rivery, Informatica, ndi Matillion, pakati pa ena, zomwe zimagwirizana ndi zofuna zosiyanasiyana zamabizinesi.
Pomaliza, kampani iliyonse yomwe ikufuna kukhalabe yopikisana m'dziko lamasiku ano lokhala ndi deta iyenera kuyikapo njira yodalirika yoyezera kusamuka kwa data. Izi sizili chabe chisankho chanzeru.
Siyani Mumakonda