Kushandura magumo edatha kuita akanakisa zviitiko zvevatengi kana mishandirapamwe yekushambadzira inoshanda hazvisi nyore. Mabhizinesi anoda chikuva che data kutakura data kubva kune imwe nzvimbo kuenda kune imwe uye kuita kuti iwanikwe kune vanoongorora, zvikwata zvebhizinesi, uye zvikwata zvekushambadzira.
Aya maitiro akaomarara anoshandisa akasiyana matekinoroji, achangoburwa ayo ari reverse ETL (kubvisa, shandura, mutoro).
Muchidimbu ichi, tichanyatso tarisisa Reverse ETL, kusanganisira nei iwe ungachida, maturusi akanakisa ekushandisa, nezvimwe.
Chii chinonzi Reverse ETL?
Dhata inotorwa kubva kune data masosi anosanganisira SQL dhatabhesi uye Software-se-a-Service (SaaS) maturusi, anoshandurwa, uye anoiswa mudura re data mune yakajairwa ETL maitiro.
Fivetran, Airbyte, uye mamwe mhinduro anoita kuti zvive nyore kukambani yako kugadzira ETL mapaipi.
Nekune rimwe divi, Reverse ETL inogonesa mabhizinesi kutakura data rakashandurwa kubva mudura regore kuita maturusi ekushandisa ari mhiri kweETL (izvo zvinoita kuti makambani apinze data mudura ravo rekushandura uye kuenzanisa).
Iyi inzira nyowani yekuita kuti data riite uye kugadzirisa dambudziko re "maira yekupedzisira" muanalytics nekugonesa zvikwata zvebhizinesi kuwana uye kuita pane yakashandurwa data zvakananga mumapuratifomu eSaaS avanotoshandisa mazuva ese.
Nekuita democratize kuwana data nenzira iyi, Reverse ETL iri kugonesa paradigm nyowani inozivikanwa seanoshanda analytics - tsika yekuendesa nzwisiso kubva kuzvikwata zvedata kuenda kuzvikwata zvebhizinesi mukufambiswa kwavo kwakajairwa, kuti vagone kuita sarudzo dziri nani dzine ruzivo.
Sei uchida Reverse ETL?
Iyo inonyanya kushandiswa yedata yakachengetwa mumatura intelligence yebhizinesi uye analytical report.
Uchishandisa maturusi akadai seMicrosoft Power BI, Tableau, uye SAS Business Intelligence, mabhizinesi anogona kugadzira mishumo inopa ruzivo rwe data uye rubatsiro mukuvandudza zvirongwa zvakakura zvesangano.
Nenzira imwechete iyo inodzosera ETL inogona kuwana yako yazvino data mumaoko ezvikwata zvinoshanda seKutengesa, Kushambadzira, uye Tsigiro yeMutengi kuti ishandiswe mukuita sarudzo dzezuva nezuva, dzosera ETL zvakare inoita kuti iyo data iite.
Reverse ETL mhinduro inowiriranisa-chaiyo-nguva data kubva kudura rako re data kune maturusi ekushandisa akadai seCRM, Mapurogiramu Ekutsigira, Project Management Mapurogiramu, uye Kushambadzira Mapurogiramu, kuve nechokwadi chekuti vashandi vako vanogara vachienderana uye vakagadzirira kuita.
Heano mimwe mienzaniso yekuti sei Operational Analytics inogona kubatsira mapoka akasiyana ebhizinesi:
- Operational Analytics inobvumira vatengesi kugadzira zvirongwa zvekushambadzira zvakagadzirirwa. Panzvimbo pekugovera mushandirapamwe chete nevashandisi vese, mishandirapamwe yakavakirwa paKutengesa, Tsigiro, uye Chigadzirwa data inogona kugadzirwa kune wega mushandisi wega zvichienderana nezvavanoda.
- Zvigadzirwa Zvikwata zvinogona kuziva vatengi vari panjodzi nekubatanidza chaiyo-nguva yechigadzirwa data data neCustomer Relationship Management (CRM) maturusi. Nzira inogona kuiswa kuti yambiro zvikwata kana mashandisirwo awira pasi pechikumbaridzo chakapihwa, zvichibvumira Chikwata Chekutengesa kuita chiito kudzivirira mutengi kubva.
- Vatengi vanogona kuvonekwa nenzira yakafanana kune ese masisitimu, ayo anobatsira kutengesa uye zvikwata zvebasa revatengi. Ivo vanowana mukana kune yazvino runyorwa rwemutengi Wese Hupenyu Kukosha, Chigadzirwa Chakakodzera Kutungamira (PQL) uye Marketing Yakakodzera Lead (MQL) ruzivo, Mutengi Hutano, uye rumwe ruzivo rwunogona kushandiswa kuronga ramangwana.
Zvakanakisa Reverse ETL Zvishandiso
Kana iwe uri mutsva kune Operational Analytics uye reverse ETL bubble, iwe unogona kugumburwa uye funga zvakawanda usati wafunga nezve yako yepamusoro sarudzo.
Kuti ikubatsire kuita sarudzo ine ruzivo, takanyora runyoro rwezvatinosarudza zvepamusoro zveakanakisa Reverse ETL zvishandiso pamusika:
1. Grouparoo
Grouparoo inzvimbo chaiyo-nguva yekufambisa data inobvumira mabhizinesi kutamisa data pakati pematura avo edata kana dhatabhesi uye Cloud-yakavakirwa maturusi ekushandisa.
Chimwe chinhu chinosiyanisa Grouparoo kubva kune zvimwe zvigadzirwa ndechekuti inopa yemahara, yakavhurika-sosi Community Edition.
Izvi zvinoreva kuti mabhizinesi anogona kugadzirisa kodhi kuti ienderane nemakesi ekushandisa kwavo uye zvavanoda. Nepo Grouparoo yakanakira kudzosera ETL, inongova neashoma masosi uye kwekuenda.
Dhata kubva kuXNUMX data warehouses (Snowflake, Postgres, MySQL, Redshift, uye BigQuery) inogona chete kutamiswa kune imwe nhamba yenzvimbo, kusanganisira Marketo, Facebook, uye MailChimp. Izvo, zvisinei, zvemahara uye zvinoshanda.
zvayakanakira
- Ndiyo Open-source
- Kumhanya kwakafanorongwa.
- Zvagara zvakasununguka kushandisa yakavanzika gore/nharaunda edition.
- Inobvumira makore emunharaunda uye ega ega kuti aisirwe kuongororwa uye kugadzira.
- Inobvumira kushandiswa kwezvinyorwa kunze kwedura re data.
- Huwandu hwenzvimbo nenzvimbo hahuganhurwe.
nezvayakaipira
- Chete chemahara Community edition ine rubatsiro rwetikiti.
- Kune mashoma masosi uye kwekuenda, asi ari kuwedzera (29 panguva yekunyora).
- Enterprise UI ndeye mushandisi-inoshamwaridzika setup yaunobhadhara. Zvikasadaro, iyo Command Line Interface ndiyo imwe nzira (CLI)
Pricing
Unogona kutanga kushandisa puratifomu ine nharaunda yayo edition, iyo yemahara kune wese munhu uye yakavhurika-sosi zvakare. Inopawo edhisheni yekutanga, iyo inotanga kubva kumadhora zana nemakumi mashanu / mwedzi.
2. Integrate.io
Kunyangwe iwe uchida kumhanyisa ETL kana kudzosera maitiro aya kuti data ishande zvakanyanya, Integrate.io's super-yakarerutswa poindi-uye-tinya mushandisi interface inoita kuti data paipi-kuvaka kuve nyore.
Iine pre-yakavakwa yekubatanidza inotakura data pakati pematura neSaaS maapp, iyi yakaderera-code/no-code mhinduro inoita mashandiro analytics ive pfungwa inokwezva zvakanyanya.
Integrate.io's sheer number of connectors inokatyamadza pfungwa, asi puratifomu inowanawo mamakisi akakwira ekuti scalability uye chengetedzo.
Iwe unogona kufambisa huwandu hukuru hwe data kubva kudura kuenda kuSaaS chikuva chekushanda analytics uchiramba uchienderana nemitemo yekutonga data seHIPAA, GDPR, uye CCPA.
zvayakanakira
- Yakanakisa, inokurumidza, uye inopindura vatengi sevhisi. Sandbox inowanikwa mahara kwenguva isingaperi.
- Iyo mushandisi interface inoshamisa. Kusiyana nemamwe mabhizinesi ETL mhinduro, mashandiro ese uye usability akarerutswa.
- Iyo inyanzvi huru yekukurumidza kubatanidza data kubva kune akawanda masosi kuenda mudura.
- Iwo mapulagi, pamwe nekushandisa iyo API kutanga mabasa. Kubatanidza kune akasiyana masosi uye kusanganisa iwo mune imwechete data sosi.
nezvayakaipira
- Marogi ezvikanganiso haawanzo kubatsira.
- Kumirira kwenguva refu rubatsiro kubva kune rutsigiro
Pricing
Unogona kuedza chikuva kwemazuva manomwe, hapana kadhi rechikwereti rinodiwa. Nemitengo yayo, iwe unofanirwa kubata zvakananga nekutengesa.
3. Census
Census ipuratifomu yekuongorora mashandiro. Iyo zvakare imwe yemakambani ekutanga kupa reverse ETL sevhisi. Canva, DigitalOcean, uye Loom vari pakati pevatengi vavo.
Ikozvino chishandiso chinoshanda chakazara chine akati wandei kusanganisa (41 kuve chaiyo, kusanganisira ese makuru matura edata uye masosi). Census inoshanda nedata data yauinayo kare.
Izvi zvinoreva kuti haufanirwe kushandisa imwe mari kana nguva kugadzira giya nyowani.
Census ndiyo yekuenda-kune mhinduro yedata-savvy masangano akaita sedbt, Fivetran, Mode, uye Metabase, saka hazvishamise. Ndiyo inonyanya kuvimbika uye inoshanda pakubata nehuwandu hukuru hwe data (ipo ichipa imwechete sosi yechokwadi).
zvayakanakira
- Tanga neimba imwe chete yekuchengetera data uye gumi nzvimbo dzekuenda mahara.
- Synchronizations ari pedyo nenguva chaiyo;
- Kumhanya kwakarongwa.
- Kurumidza kugadzirisa uye kuwiriranisa.
- Yambiro yekutadza kuwiriranisa uye matanda akakura.
nezvayakaipira
- SQL hunyanzvi hunodiwa pakubvunza masosi.
- Kune mashoma masosi uye kwekuenda, asi ari kuwedzera (49 panguva yekunyora).
Pricing
Unogona kuyedza chikuva netrail pack yayo. Inopa zvirongwa zvakabhadharwa zvinotanga kubva kumadhora mazana matatu / mwedzi.
4. Polytomic
Polytomic imwezve inobhadhara reverse ETL mhinduro inoita kuti masangano akurumidze kuvaka maonero ehupenyu hwese data revatengi muMarketo, Salesforce, HubSpot, uye mamwe mapuratifomu ebhizinesi.
Iyo isina-kodhi mhinduro, saka yakanakira vanhu vanoda kudzidza nezve mashandiro analytics asi vasina chero data engineering kumashure.
Ichi chishandiso chinonyanya kubatsira kumapurojekiti ekubatana sezvo iine yakanakisa-tinya-kamwe mashandiro ayo anobvumidza iwe kukoka vamwe vanhu pachikuva kuti ubate zvinodzosera ETL zviitiko.
Iyo ine vashoma vatengi uye masanganiswa nekuti ichiri kambani diki, asi inopa Airtable, Azure, uye MongoDB sezviwanikwa.
zvayakanakira
- Inotumira zviziviso zvekutadza kuwirirana.
- Kumhanya kwakarongwa.
- Data source yekutsvaga isina kana diki kodhi.
- Smart basa queuing inobvumira kushoma API kushandiswa.
- Bvumira Webhooks kuti ishandiswe senzvimbo yedata inotumirwa kune yakajairwa maapplication awakagadzira.
nezvayakaipira
- Kune mashoma manyuko uye kwekuenda.
- Iko hakuna muyedzo wemahara kana ruzivo pane yekutanga chirongwa pane yavo webhusaiti.
Pricing
Mitengo inotangira pamadhora mazana mashanu / mwedzi, asi kuti uwane rumwe ruzivo, unofanirwa kubata mutengesi.
5. Hightouch
Hightouch tekinoroji yeETL inodzosera iyo inogonesa mabhizinesi kuwiriranisa zviri nyore data kubva kudura redata kuenda kune Mutengi-akatarisana neTimu Zvishandiso.
Customer Relationship Management Apps (CRMs), Kushambadzira, uye Tsigiro mhinduro dzakadai seSalesforce, HubSpot, Marketo, Gainsight, Zendesk, nezvimwe zvinosanganisirwa.
Iyo zvakare inogonesa makambani kushandisa yavo yekuchengetera data senzvimbo inoshanda uye yekuongorora.
Izvi zvinovagonesa kushandisa ongororo kusimbisa maitiro avo ekushanda. Ndiyo imwezve reverse ETL SaaS sevhisi.
Iyo Audience Builder ndiyo inosiyanisa Hightouch. Iyo inonyanya kushandura yako yekuchengetedza data kuita Mutengi Data Platform (CDP).
zvayakanakira
- Iyo debugger iri munguva chaiyo-nguva.
- Muvaki wevateereri.
- Pedyo-chaiyo-nguva kuwiriranisa.
- Sync kutadza zviziviso
- Kumhanya kwakarongwa.
- Ikozvino kune 93 kubatana uye nhamba iri kuwedzera.
nezvayakaipira
- Email rubatsiro inowanikwa chete kune chirongwa chemahara.
- Kubvunza masosi kunoda SQL kunzwisisa.
- Zvichienderana nehurongwa, pane zvishoma zvingasarudzwa zvenzvimbo.
Pricing
Iwe unogona kutanga kushandisa chikuva nehurongwa hwayo hwega, hwakasununguka zvachose. Inopawo zvirongwa zvakabhadharwa zvinotanga kubva kumadhora mazana matatu nemakumi mashanu / mwedzi.
mhedziso
Masangano anogona kushandisa ETL matekinoroji kukwenenzvera uye kuchengetedza iyo data pombi nzira, kutonga kwedata, uye kutarisa kwemazuva ese kweizvi mashandiro.
Sarudzo yekushandisa chaiyo ETL chishandiso chebhizinesi rako inotsamira pane akati wandei akasiyana, kusanganisira nyaya dzekushandiswa kwesangano, kubatana kune data masosi, hunyanzvi seti inodiwa kuti ushandise chirongwa, kugona kupa mukana-wakavakirwa mukana, uye kutonga kwedata, bhajeti, zvichingodaro.
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