{"id":69328,"date":"2026-05-28T08:35:32","date_gmt":"2026-05-28T07:35:32","guid":{"rendered":"https:\/\/www.irion-edm.com\/?p=69328"},"modified":"2026-08-06T08:57:20","modified_gmt":"2026-08-06T07:57:20","slug":"converged-data-management-platforms-gartner","status":"publish","type":"post","link":"https:\/\/www.irion-edm.com\/it\/data-management\/converged-data-management-platforms-gartner\/","title":{"rendered":"Convergere senza chiudersi: il futuro del Data Management secondo Gartner"},"content":{"rendered":"\n\n\n<p class=\"wp-block-paragraph\"><em>Le&nbsp;Converged&nbsp;Data Management&nbsp;Platforms&nbsp;promettono di ridurre il debito di integrazione tecnologica e accelerare la consegna di dati AI-ready. Ma il vero vantaggio competitivo nasce dall&#8217;equilibrio tra piattaforma unificata e apertura verso ISV specializzati.&nbsp;Una&nbsp;sintesi&nbsp;del report Gartner &#8220;Future of Data Management Markets: Converged Data Management Platforms Drive Tool Consolidation&#8221;.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Per anni le organizzazioni hanno costruito il proprio&nbsp;stack&nbsp;di Data Management seguendo una logica &#8220;best-of-breed&#8221;: per ogni esigenza, la migliore soluzione verticale disponibile sul mercato. Una strategia che prometteva eccellenza funzionale ma che, sommata progetto dopo progetto, ha prodotto l&#8217;effetto opposto: un panorama tecnologico stratificato, frammentato e \u2014 sempre pi\u00f9 spesso \u2014 insostenibile.&nbsp;<\/p>\n\n\n\n<style>\n.elementor-element.elementor-element-4e5cf1d8.elementor-widget.elementor-widget-theme-post-title.elementor-page-title.elementor-widget-heading {\ndisplay: block;\n}\n<\/style>\n\n\n\n<h2 class=\"wp-block-heading\">Il debito di integrazione tecnologica&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sebbene questa strategia promettesse l&#8217;eccellenza funzionale, nel tempo ha prodotto l&#8217;effetto opposto. Le interazioni che Gartner ha con i propri clienti confermano la portata del fenomeno: un&#8217;organizzazione gestisce in media oltre una dozzina di soluzioni di data management, implementate su tool eterogenei e con capability spesso sovrapposte. \u00c8 ci\u00f2 che Gartner descrive come un &#8220;debito di integrazione tecnologica&#8221; (<em>technology&nbsp;integration&nbsp;debt<\/em>): un groviglio di silos applicativi che assorbe risorse, frena l&#8217;agilit\u00e0 operativa e \u2014 soprattutto \u2014 allunga il tempo necessario per consegnare al business dati realmente pronti per l&#8217;AI.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il report&nbsp;<em>Future of Data Management Markets:&nbsp;Converged&nbsp;Data Management&nbsp;Platforms&nbsp;Drive Tool&nbsp;Consolidation<\/em>&nbsp;descrive in questo scenario l&#8217;ascesa delle&nbsp;<strong>Converged&nbsp;Data Management&nbsp;Platforms&nbsp;(CDMP)<\/strong>. Non si tratta di una somma disomogenea di strumenti preesistenti, bens\u00ec di ambienti che integrano in un&#8217;unica offerta coerente le capability fondamentali del data management: persistenza dei dati, integrazione, qualit\u00e0, gestione dei metadati e governance. L&#8217;urgenza di questa trasformazione non \u00e8 puramente estetica, ma \u00e8 dettata dalla necessit\u00e0 imperativa di fornire dati AI-ready in tempi sempre pi\u00f9 rapidi.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">I quattro percorsi della convergenza&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Il report identifica quattro percorsi logici attraverso cui questa convergenza si sta concretizzando. Non sono fasi alternative n\u00e9 stadi sequenziali, ma direttrici parallele lungo cui le piattaforme stanno consolidando capability un tempo separate.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Evoluzione della persistenza.<\/strong>&nbsp;Il primo percorso riguarda il&nbsp;layer&nbsp;di archiviazione: i tradizionali DBMS specializzati convergono verso piattaforme multimodali, capaci di gestire dati strutturati e non strutturati (relazionali, JSON, vettoriali, grafi) all&#8217;interno di un unico ambiente.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Sinergia tra metadati, qualit\u00e0 e governance.<\/strong>&nbsp;Il secondo percorso unifica strumenti che oggi si sovrappongono: data&nbsp;catalog, data&nbsp;quality&nbsp;e data governance convergono in un&nbsp;layer&nbsp;comune, dove la conoscenza del dato e la sua affidabilit\u00e0 diventano un unico asset informativo sempre disponibile.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Architettura Data&nbsp;Fabric.<\/strong>&nbsp;Il terzo percorso integra in profondit\u00e0 tutte le capability principali \u2014 integrazione, metadati, data&nbsp;quality, governance \u2014 per costruire un vero &#8220;tessuto connettivo&#8221; che alimenta tutti i casi d&#8217;uso di&nbsp;analytics&nbsp;e AI,&nbsp;dagli use&nbsp;case standard fino agli assistenti&nbsp;GenAI.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ecosistema di Data Management totale.<\/strong>&nbsp;L&#8217;ultimo percorso punta alla convergenza dell&#8217;intero ciclo di vita del dato in un ecosistema operativo, anche&nbsp;multivendor, in cui le piattaforme dialogano nativamente con soluzioni ISV specializzate per le aree dove la copertura della piattaforma \u00e8 meno matura.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">La condizione strategica: convergere senza lock-in&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Il report individua una&nbsp;<strong>condizione strategica imprescindibile<\/strong>: privilegiare piattaforme che supportino standard aperti, API moderne e formati di interscambio condivisi (Open Table Formats,&nbsp;OpenLineage,&nbsp;dbt,&nbsp;Airflow). Solo cos\u00ec \u00e8 possibile ottimizzare il TCO e, allo stesso tempo, mitigare il rischio di&nbsp;vendor&nbsp;lock-in.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Su questa apertura si gioca anche un secondo vantaggio competitivo. Per quanto la convergenza spinga verso soluzioni end-to-end, rester\u00e0 sempre necessario estendere o integrare la piattaforma con capability specifiche e innovative offerte da Independent Software&nbsp;Vendor&nbsp;(ISV) specializzati. Non come &#8220;complemento opzionale&#8221;, ma come&nbsp;<strong>componente strutturale dell&#8217;ecosistema dati<\/strong>.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il futuro del Data Management non \u00e8 una scelta binaria tra consolidamento e apertura. \u00c8, piuttosto, l&#8217;arte di&nbsp;<strong><em>convergere senza chiudersi<\/em><\/strong>: razionalizzare lo&nbsp;stack&nbsp;tecnologico riducendo silos, ridondanze e costi di integrazione, ma preservare la flessibilit\u00e0 architetturale necessaria per accogliere le capability specialistiche degli ISV. \u00c8 solo in questo equilibrio che il dato smette di essere un onere gestionale e diventa un asset di valore reale e misurabile per il business.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Dove si posiziona Irion in questo scenario<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Il quadro tracciato da Gartner \u00e8 netto: per uscire dalla frammentazione tecnologica e dal &#8220;debito di integrazione&#8221; che ne deriva, le organizzazioni si stanno orientando sulle&nbsp;<strong>Converged Data Management Platforms (CDMP)<\/strong>. Tuttavia, come sottolinea l&#8217;analisi, nessuna piattaforma sar\u00e0 mai in grado di offrire capability best-in-class su tutti i fronti del data management. L&#8217;interoperabilit\u00e0 con soluzioni specializzate di tipo Independent Software Vendor (ISV) \u2014 abilitata da standard aperti e API moderne \u2014 diventa essenziale per colmare i gap funzionali e mitigare il rischio di vendor lock-in.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In questo scenario, Irion si posiziona esattamente come Gartner descrive il ruolo ideale di un ISV: un&nbsp;<strong>&#8220;first-class citizen&#8221;<\/strong>&nbsp;dell&#8217;ecosistema dati, non un componente accessorio. L&#8217;architettura di Irion EDM \u00e8 nativamente API-based e poggia sulla separazione tra compute e storage: due caratteristiche che assicurano un&#8217;integrazione senza frizioni con le moderne Converged DMP. Il supporto agli Open Table Formats (Iceberg, Delta Lake) e la possibilit\u00e0 di storicizzare i dati su un Managed Lakehouse offrono la flessibilit\u00e0 architetturale necessaria per costruire un ecosistema agile e scalabile, capace di fornire dati pronti per l&#8217;AI. A completamento, il nuovo Analytics Engine \u2014 motore colonnare in-memory \u2014 garantisce scalabilit\u00e0 orizzontale e prestazioni ottimizzate negli scenari OLAP pi\u00f9 esigenti, abilitando i workload analitici e AI che Gartner indica come priorit\u00e0 strategica.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Su questa agilit\u00e0 architetturale si innesta una&nbsp;<strong>connettivit\u00e0 universale<\/strong>: oltre 200 connettori per le fonti tradizionali si affiancano al dialogo nativo con i principali Cloud Storage, Cloud Data Warehouse e architetture Lakehouse come Databricks e Cloudera. Questa capacit\u00e0 di integrare sorgenti eterogenee permette di abbattere i silos e consegnare dati pronti all&#8217;uso, rispondendo direttamente all&#8217;esigenza di semplicit\u00e0 operativa evidenziata da Gartner. A questo si aggiunge la disponibilit\u00e0 \u2014 completamente interoperabile \u2014 di tutte le capability di Irion EDM nelle discipline core del data management, con un focus particolare su Data Quality e Governance.&nbsp;<strong>Non \u00e8 un caso<\/strong>: come segnala lo stesso Gartner, \u00e8 proprio in queste aree che le piattaforme integrate mostrano oggi le maturit\u00e0 pi\u00f9 disomogenee, e dove l&#8217;apporto di un ISV specializzato fa la differenza.<\/p>\n\n\n\n<style>\n.elementor-69333 .elementor-element.elementor-element-ffe21c4 .elementor-field-group {\n  margin-bottom:6.4px !important;\n}\n<\/style>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><em>Gartner, Future of Data Management Markets: Converged Data Management Platforms Drive Tool Consolidation, By Ehtisham Zaidi, Robert Thanaraj, Sharat Menon, Adam Ronthal, 2 September 2025. Gartner is a trademark of Gartner, Inc. and\/or its affiliates.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Le&nbsp;Converged&nbsp;Data Management&nbsp;Platforms&nbsp;promettono di ridurre il debito di integrazione tecnologica e accelerare la consegna di dati AI-ready. Ma il vero vantaggio competitivo nasce dall&#8217;equilibrio tra piattaforma unificata e apertura verso ISV specializzati.&nbsp;Una&nbsp;sintesi&nbsp;del report Gartner &#8220;Future of Data Management Markets: Converged Data Management Platforms Drive Tool Consolidation&#8221;. Per anni le organizzazioni hanno costruito il proprio&nbsp;stack&nbsp;di Data Management [&hellip;]<\/p>\n","protected":false},"author":191,"featured_media":69406,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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