Izicelo ezivamile ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Nangona kunjalo, idatha kubaluleke ukuxubana. I-operating systems, eyenziwe ku-Postgres, ukulawula ingxubevange kanye nokusetshenziswa. Ama-analysis systems, eyenziwe ku-lakehouse, ukulawula ukuvikelwa kanye nokukhipha. Ukuxhumanisa kwabo kuhlanganisa ama-streams, ama-pipelines, kanye nama-jobs eyenziwe ngokufanelekileyo - zonke zihlanganisa i-latency, i-fragility, kanye ne-cost. Umphumela i-patchwork ye-system eyenza ukunikezela umbhalo ephelele, okungenani ukwenza lokhu isikhathi esifanayo. Ukulungiswa okufanayo akuyona kuphela amaqela ezincinane – okuvimbela ukuthi ama-developer angakwazi ukwakha. Ungathumela ama-dashboards e-real-time ne-historical depth noma ama-ground agents e-fresh operation context lapho idatha iyahlukaniswa ngokucophelela. Ukulungiselela okuhlobene okuhlobene. izindandatho ezahlukile ezahlukile. Ngokuqhathanisa i-publish beta, kusetshenziselwa i-data loop entsha-i-continuous, i-bidirectional, ne-profoundly integrated- phakathi kwe-Postgres ne-lakehouse. It ukunciphisa i-stack, ukugcina ama-formats ezahlukile, futhi ivumela indawo yokusebenza kanye ne-analysis ku-systems efanayo. I-Tiger Lake I-Tiger Lake Ukuvumelana neTiger Lake: Imibuzo ye-Real-Time, Imibuzo ye-Full-Context Tiger Lake ukunciphisa ukunambitheka kwe-pipelines e-external, i-frameworks ye-orchestration eyenziwe, kanye ne-middleware e-proprietary. It is eyenziwe ngqo ku-Tiger Cloud futhi ifakwe ne-Tiger Postgres, injini yethu ye-Production-grade Postgres ye-transactional, analytical, kanye ne-agent workloads. I-architecture isetshenziselwa izinga ezivela ukusuka ekupheleni: I-Apache Iceberg Tables ifakwe ku-Amazon S3 Tables for lakehouse integration Ukuguqulwa okuqhubekayo kusuka ku-Postgres tables noma ama-hypertables ku-Iceberg Streaming ingestion back ku Postgres for low-latency serving kanye nemisebenzi Ukukhuthaza imibuzo kusuka ku-Postgres kuya ku-Iceberg ukuze kube lula Lezi zokusebenza zihlanganisa. Yintoni okwenziwe ngaphambi kokufakwa i-Flinks jobs, i-DAG schedulers, ne-custom glue manje isebenza ngokuvamile. Ukusebenza kwe-streaming kanye ne-schema-compatibility ziye ziboniswe ku-system kusukela ekuqaleni. Ukubuyekeza kanjani i-Tiger Lake ukuguqulwa kwe-architecture ye-data, kusiza Ngiyaxolisa kanjani lapho isikhokelo se-real-time ivela isisekelo se-core design. Ukuhlola Model Medallion Ukuhlola Model Medallion Ungathanda lokhu njenge : operational medallion architecture I-Bronze: I-Data Raw iyatholakala ku-Iceberg-backed S3. I-Silver: I-Data eyenziwe kanye ne-validated iboniswe ku-Postgres. Gold: Aggregates zihlanganiswa Postgres for real-time serving, bese zithunyelwe back ku Iceberg for feature analysis. I-Bronze-Silver-Gold workflows ezivamile yasungulwa izinhlelo ze-batch. I-Tiger Lake inikeza ingozi okuqhubekayo lapho ukucubungula nokudayiswa kubaluleke isikhathi esifanayo. Ukuguqulwa okuhlobisa i-pipeline ephakeme kakhulu ku-dynamic and simpler real-time data loop. I-context kanye ne-data ibheka ngokushesha phakathi kwamasistimu. Izingubo zokusebenza kanye nezingubo zokusebenza zihlanganisa ngaphandle kokusebenza okungenani noma isakhiwo se-duplicate. Konke idatha kubaluleke native, up-to-date, futhi ingatholakala nge-standard SQL. I-Tiger Lake inikeza indlela yokubhalisa elilodwa elawula izicelo ezingenalutho, ama-dashboards, kanye ne-lakehouse, ngokusebenzisa isakhiwo esifanayo kakhulu kwama-developer. Abasebenzisi angafunda idatha ku-Postgres, bese uthole idatha efanelekayo kanye nokuhlanganiswa okuzenzakalelayo ku-lakehouse yabo; ngokuvamile, abasebenzisi abanikeze idatha ashisayo ku-lakehouse angasetshenziswa ngokuvamile ku-Postgres yokusebenza. Ngaphezu kwalokho, izinhlelo angakwazi ukubhalisa ngezikhathi ezingenalutho - ngaphandle kwe-orchestration code noma i-synchronization overhead. "Sihlanganisa Kafka, Flink, kanye ne-custom code ukuxhumana idatha kusuka ku-Postgres kuya ku-Iceberg. Yenziwe, kodwa i-frail and-high-maintenance," Kevin Otten, umphathi we-Technical Architecture ku-Speedcast. "I-Tiger Lake iyahlukanisa konke okufanayo nge-infrastructure yayo. Kuyinto isakhiwo esithakazelisayo ukususela ngosuku lokuqala." "Sihlanganisa Kafka, Flink, kanye ne-custom code ukuxhumana idatha kusuka ku-Postgres kuya ku-Iceberg. Yenziwe, kodwa i-frail and-high-maintenance," Kevin Otten, umphathi we-Technical Architecture ku-Speedcast. Kevin Otten, umphathi we-Technical Architecture ku-Speedcast. "I-Tiger Lake iyahlukanisa konke okufanayo nge-infrastructure yayo. Kuyinto isakhiwo esithakazelisayo ukususela ngosuku lokuqala." Ukusuka ku-architecture kuya ku-results I-Tiger Lake inikeza izinhlelo zokusebenza ngokushesha okungenani ezingu-complex kakhulu yokusebenza noma ezingu-cost kakhulu yokwakha. I-Dashboard ye-Customer Facing I-Dashboard iyakwazi ukuxhuma ama-metric e-live ne-aggregate ye-historic ku-query eyodwa. Akunemfuneko ye-double stacks noma i-stale insights. I-Tiger Lake inikeza ukuchithwa kwe-high-throughput ku-scale yokukhiqiza, okukhuthaza ama-pipelines ezibonisa ama-billions of rows ngokushesha. Yonke into ebonakalayo ku-one system, eyakhiwe ngokushesha futhi iyatholakala ngokushesha. "Nge-Tiger Lake, thina lokugqibela sinikeze idatha yethu ye-real-time kanye ne-historical." Maxwell Carritt, umenzi we-IoT we-Pfeifer & Langen. "Ndiye sinikeza ngokushesha kusuka ku-Tiger Postgres ku-Iceberg, inikeza abanamakhasimende bethu ukuhlola, ukuhlola kanye nokuphendula idatha ku-S3, Athena, ne-TigerData." "Nge-Tiger Lake, thina lokugqibela sinikeze idatha yethu ye-real-time kanye ne-historical." Maxwell Carritt, umenzi we-IoT we-Pfeifer & Langen. Maxwell Carritt, umenzi we-IoT we-Pfeifer & Langen. "Ndiye sinikeza ngokushesha kusuka ku-Tiger Postgres ku-Iceberg, inikeza abanamakhasimende bethu ukuhlola, ukuhlola kanye nokuphendula idatha ku-S3, Athena, ne-TigerData." Ukuhlolwa izinhlelo Ngokusebenzisa isisindo esisodwa se-truth kanye ne-data loop, ukuhambisa kubaluleke ngokukhawuleza futhi kuhlinzeka kakhulu. Amadivayisi angasebenza isibuyekezo se-SQL eyodwa yokufaka i-telemetry omusha kanye ne-incident historical ngokuvumelana – ukwandisa isivinini sokuhlanganisa, ukunciphisa i-fake positive, futhi ukugcina ukujabulela okuhle. Ukunciphisa i-data plane kuncike ukwandisa ukumelana kwamakhemikhali. I-Tiger Lake inikeza izinhlelo zokulawula ukusebenza kwelinye isikhunta esebenzayo esebenzayo, lapho i-Iceberg inikeza ububanzi be-historical futhi i-Tiger Postgres inikeza ukufinyelela kwe-low latency. Izinkampani I-Tiger Lake ivumela ukulungiselela ngaphandle kwe-infrastructure eyengeziwe. Amadivayisi angakwazi ukulungiselela umsebenzi olandelayo yama-user kanye ne-history ye-interaction ye-long-term ngqo ku-Postgres. Akukho ukwelashwa kwe-orchestration, ukulawula kwe-vector drift, noma ama-pipeline ye-AI eyakhelwe. Imibuzo ye-support agent inikeza isibuyekezo esitsha. I-Iceberg ibhizinisi esikhulu se-historical support, kanti i-Tiger Lake iye yenza i-chunk kanye ne-vector embeddings e-Postgres. Ngaphezu kwalokho, ukubuyekeza kwe-vector ku-operational database inokufundisa imibuzo ye-AI chat ngokushesha, ngokuvimbela ukuba ama-embeddings afinyelele futhi afinyeleleke ngaphandle kwe-orchestration ephezulu. Ngokwenza lokhu, Tiger Lake kuyinto isakhiwo esiyinhlanganisela esiyinhlanganisela esizwa ngokuthi i-Agentic Postgres, isakhiwo se-Postgres ye-intelligent systems that learn, decide, and act. "Nge-Tiger Lake, sincoma ukuthi i-TigerData inikeza isisekelo esiyingqayizivele yokuguqulwa kwe-Postgres ku-engine yokusebenza ye-open lakehouse ye-applications." wathi Ken Yoshioka, CTO, Lumia Health. "Imininingwane inikeza inikeza ukuvikela i-biotech startup yethu ngokushesha nge-infrastructure eyenziwe ngama-analytics kanye ne-agentic AI." "Nge-Tiger Lake, sincoma ukuthi i-TigerData inikeza isisekelo esiyingqayizivele yokuguqulwa kwe-Postgres ku-engine yokusebenza ye-open lakehouse ye-applications." wathi Ken Yoshioka, CTO, Lumia Health. wathi Ken Yoshioka, CTO, Lumia Health. "Imininingwane inikeza inikeza ukuvikela i-biotech startup yethu ngokushesha nge-infrastructure eyenziwe ngama-analytics kanye ne-agentic AI." Izinkampani ezifana ne-Speedcast, ne-Lumia Health, ne-Pfeifer & Langen zihlanganisa izinhlelo zokusebenza zokusebenza ephelele kanye nesikhathi esifanayo nge-Tiger Lake. Lezi zokusebenza zokusebenza nge-industrial telemetry, i-agent workflows, ne-real-time operations, konke kusuka ku-platform eyodwa, ngokushesha. Ukusebenza kwe-Public Beta ku-Tiger Cloud I-Tiger Lake is now available in public beta on Ukusetshenziswa kwe-Tiger Postgres kuya ku-Iceberg-supported Amazon S3 Tables ngokusebenzisa izinhlelo ezivela. I-Tiger Cloud I-Tiger Cloud Ukusuka ngokushesha: Intelligence Round-Trip Okugqoka kulesi: Qhagamshelana i-Iceberg catalogues ngqo kusuka ku-Postgres. Ukuhlola, ukuxhuma, nokuxhumana nge-lakehouse kanye ne-operational data usebenzisa i-SQL. Umhlahlandlela we-2025: Workflows Full-Round-Trip: Ukusuka ku-Postgres, ukucubungula ku-Iceberg futhi ukuguqula imiphumela ngokushesha. Lokhu kuvumela abathengisi ukuguqula kusuka ku-event kuya ku-analytics kuya ku-action ku-architecture eyodwa. Indlela yokufaka Tiger Lake Ukuqala kulula. Akukho ukulungiswa okuqinile noma ukuhlanganiswa okuzenzakalelayo: Yenza i-bucket ye-Iceberg-compatible S3 tables. Ukunikela izinqubo ye-ARN ku-Tiger Cloud. Yenza i-table sync ku-Tiger Postgres: ALTER TABLE my_hypertable SET (
  tigerlake.iceberg_sync = true
);
 I-Future of Data Architecture I-Real-Time, I-Contextual, ne-Open I-Tiger Lake iveza uhlobo entsha ye-architecture. I-design ye-continuous, i-scalable yi-default, futhi i-optimized ye-applications eyenza i-context ephelele kanye ne-data ephelele ngesikhathi esifanayo. I-Data ye-Operational ivela ku-Lakehouse yokukhuthaza nokukhipha. Ukuhlobisa okuhlobene ku-Postgres ukuze ku-low-latency serving. Izicelo nama-agents zihlole isilinganiso, ngokuphendula ngokunemba futhi ngokushesha. Thina ukholelwa ukuthi lokhu kuyinto isisekelo esilandelayo: I-Systems I-Unified Operational Usage Cases ne-Analytics Yomphakathi I-Architectures that reduces complexity instead of compounding it Workloads okuyinto akuyona kuphela ama-reactive, kodwa asekelwe ku-understanding Ingabe ufuna ukushumeka kokubili phakathi kwe-context ne-simplicity. Ingabe ufuna ukushumeka kokubili izinhlelo ezinamakhemikhali asebenzayo. Futhi ungakwazi ukushumeka kokubili ukuguqula. Ngokuhambisana ne-architecture yokuhlanza okwesikhathi esilandelayo kanye ne-Postgres-native I-AI tooling, i-Tiger Lake ibonise isikhunta se-Agentic Postgres. Lokhu kuyinto isisekelo esekelwe izimpahla zokusebenza ezijwayelekile ezaziwa, zihlanganisa, kanye nokuphendula. Sihlanganisa ngokushesha. Sishayele manje , futhi check out the ukuqala I-Tiger Cloud I-Tiger Lake Docs I-Tiger Cloud I-Tiger Lake Docs – ukunakekelwa Mike

This story contains new, firsthand information uncovered by the writer.

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I-Tiger Lake ithipha i-Unify Postgres ne-Lakehouse ye-Real-Time Analytics ne-AI

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