# Best Generative AI Infrastructure Software ## How Many Generative AI Infrastructure Software Products Does G2 Track? **Total Products under this Category:** 424 ### Category Stats (Aug 2026) - **Average Rating:** 4.5/5 (↓0.03 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** CalypsoAI (+7.5%) - Among all products in this category, CalypsoAI recorded the largest rating increase compared to last month _Last updated: August 05, 2026_ ## How Does G2 Rank Generative AI Infrastructure Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 7,800+ Authentic Reviews - 424+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Generative AI Infrastructure Software ![G2 Grid® for Generative AI Infrastructure Software plotting products by satisfaction and market presence](https://www.g2.com/categories/generative-ai-infrastructure/grids.png?focus%5B%5D=21469&focus%5B%5D=10470&focus%5B%5D=1321651&focus%5B%5D=1336236&focus%5B%5D=1326008&focus%5B%5D=1308795&focus%5B%5D=7150&focus%5B%5D=1453733) Highlighted products: Gemini Enterprise Agent Platform, Databricks, AWS Bedrock, Google Cloud AI Infrastructure, Langchain, IBM watsonx.ai, Dataiku, and Wirestock. Underlying data: [Grid® JSON](https://www.g2.com/categories/generative-ai-infrastructure/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=databricks&focus%5B%5D=aws-bedrock&focus%5B%5D=google-cloud-ai-infrastructure&focus%5B%5D=langchain&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=dataiku&focus%5B%5D=wirestock) **Sponsored** ### Valere Labs The context-first AI transformation partner. Valere is an award-winning AI value creation and delivery partner. We deliver operational AI built on deep business context, deployed into the workflows your teams use every day. Valere helps organizations operationalize AI through purpose-built software, hands-on learning, and a deep understanding of how each business works. Targeting a diverse audience that includes venture-backed startups, mid-market companies, and Fortune 500 enterprises, Valere’s services cater to organizations at various stages of their AI journey. By employing a proven crawl-walk-run methodology, Valere guides organizations operationalize AI in context: purpose-built software, hands-on learning, and a deep understanding of how each business works. This structured approach ensures that organizations can effectively leverage AI technologies tailored to their unique needs and objectives. Key features of Valere’s offerings include a dedicated team of over 200 professionals and domain experts who bring extensive experience in AI and software development. This expertise allows Valere to deliver end-to-end AI-native solutions that are not only innovative but also aligned with industry best practices. The hybrid framework employed by Valere ensures that clients receive enterprise-quality solutions at mid-market economics, making advanced AI capabilities accessible to a broader range of organizations. Valere places a strong emphasis on continuous process optimization and a unified organizational culture, which contributes to the overall excellence of its services. Rigorous hiring standards ensure that only the most qualified professionals are part of the Valere team, further enhancing the quality of solutions delivered to clients. By focusing on building meaningful partnerships and delivering tailored AI solutions, Valere stands out as a trusted partner for organizations seeking to navigate the complexities of AI transformation effectively. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1006880&secure%5Bchosen_at%5D=2026-08-06T18%3A16%3A55Z&secure%5Bdisplayable_resource_id%5D=1006880&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1006880&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1383644&secure%5Bresource_id%5D=1006880&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fgenerative-ai-infrastructure%3Fopen_modal_url%3D%252Fproducts%252Fvelocity-prompt-co-pilot%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fgenerative-ai-infrastructure%2526source%253Dcategory&secure%5Btoken%5D=812c6b95b8e7681e3e8b3bea2aff30983dc3a1696d968cbbbb2c72380e130def&secure%5Burl%5D=https%3A%2F%2Fwww.valere.io%2F&secure%5Burl_type%5D=custom_url) ### [Gemini Enterprise Agent Platform](https://www.g2.com/fr/products/gemini-enterprise-agent-platform/reviews) La plateforme complète de Google Cloud pour les développeurs afin de créer, mettre à l'échelle, gérer et optimiser des agents et des modèles. C'est une destination unique pour les équipes techniques afin de créer des agents qui peuvent transformer les applications et les flux de travail d'entreprise en systèmes agentiques puissants. **Average Rating:** 4.3/5.0 **Total Reviews:** 722 #### Who Is the Company Behind Gemini Enterprise Agent Platform? - **Vendeur:** [Google](https://www.g2.com/fr/sellers/google) - **Année de fondation:** 1998 - **Emplacement du siège social:** Mountain View, CA - **Twitter:** @google 31,899,995 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employés sur LinkedIn® - **Propriété:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Ingénieur logiciel, Scientifique des données - **Top Industries:** Logiciels informatiques, Technologie de l'information et services - **Company Size:** 43% Small, 29% Large #### What Do G2 Reviewers Say About Gemini Enterprise Agent Platform? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient la **facilité d'utilisation** de la plateforme Gemini Enterprise Agent, ce qui améliore la productivité et rationalise efficacement les flux de travail. - Les utilisateurs apprécient les **capacités multimodales** de Gemini, qui améliorent la productivité et rationalisent efficacement les flux de travail d'apprentissage automatique. - Les utilisateurs apprécient les **capacités multimodales** de Gemini, améliorant la productivité grâce à une réduction du travail manuel dans les projets. - Les utilisateurs apprécient les **capacités multimodales** de Gemini, qui améliorent la productivité en rationalisant diverses tâches et processus. - Les utilisateurs apprécient la **plateforme intégrée** de Gemini, qui améliore la productivité en combinant diverses fonctionnalités dans un système unifié. ##### Cons - Les utilisateurs trouvent la **tarification ambiguë** avec des coûts inattendus, rendant la gestion du budget un défi sur la plateforme Gemini. - Les utilisateurs trouvent la **complexité** de la plateforme, en particulier dans la navigation et les fonctionnalités avancées, difficile, surtout pour les débutants. - La **pour les nouveaux utilisateurs, surtout avec des fonctionnalités complexes et des problèmes de transparence des prix.** - Les utilisateurs trouvent que les **problèmes de complexité** de la plateforme Gemini Enterprise Agent entraînent des coûts élevés et une courbe d'apprentissage abrupte. - Les utilisateurs trouvent la **courbe d'apprentissage difficile** de la plateforme Gemini Enterprise Agent difficile, surtout pour les nouveaux venus sur Google Cloud. #### What Are Recent G2 Reviews of Gemini Enterprise Agent Platform? **["Création facile d'agent IA"](https://www.g2.com/fr/survey_responses/gemini-enterprise-agent-platform-review-13193916)** **Rating:** 4.5/5.0 stars _— Belhaje A._ [Read full review](https://www.g2.com/fr/survey_responses/gemini-enterprise-agent-platform-review-13193916) **["Nous a aidés à automatiser le travail de routine et à économiser des heures chaque semaine."](https://www.g2.com/fr/survey_responses/gemini-enterprise-agent-platform-review-13212825)** **Rating:** 4.5/5.0 stars _— Pavan Simhadri D._ [Read full review](https://www.g2.com/fr/survey_responses/gemini-enterprise-agent-platform-review-13212825) #### What Are G2 Users Discussing About Gemini Enterprise Agent Platform? - [À quoi sert la plateforme Google Cloud AI ?](https://www.g2.com/fr/discussions/what-is-google-cloud-ai-platform-used-for) - 4 comments, 5 upvotes - [What software libraries does cloud ML engine support?](https://www.g2.com/fr/discussions/what-software-libraries-does-cloud-ml-engine-support) - 4 comments, 5 upvotes - [How do I use Google cloud platform for machine learning?](https://www.g2.com/fr/discussions/how-do-i-use-google-cloud-platform-for-machine-learning) - [Is Google Cloud AI free?](https://www.g2.com/fr/discussions/is-google-cloud-ai-free) - [What is Google AI platform?](https://www.g2.com/fr/discussions/what-is-google-ai-platform) - 3 comments, 3 upvotes ### [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,331 #### Who Is the Company Behind Databricks? - **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) - **Company Website:** databricks.com - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @databricks 92,269 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website) 15,627 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 47% Large, 38% Medium #### What Do G2 Reviewers Say About Databricks? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. - Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. - Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. - Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. - Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. ##### Cons - Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. - Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. - Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. - Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. - Users face **complex setup** challenges initially, though support helps simplify the experience over time. #### What Are Recent G2 Reviews of Databricks? **["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)** **Rating:** 5.0/5.0 stars _— aravind k._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13198355) **["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)** **Rating:** 5.0/5.0 stars _— Diana C._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13181721) #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes ### [AWS Bedrock](https://www.g2.com/fr/products/aws-bedrock/reviews) Amazon Bedrock est un service entièrement géré qui permet aux organisations de créer et de développer des applications d'IA générative en utilisant des modèles de base (FMs) provenant des principales entreprises d'IA et d'Amazon. Il fournit une API unifiée pour accéder à une sélection diversifiée de FMs performants, permettant aux utilisateurs d'expérimenter, de personnaliser et de déployer des solutions d'IA sans gérer l'infrastructure. Avec Amazon Bedrock, les entreprises peuvent créer des expériences personnalisées, automatiser des flux de travail et obtenir des informations exploitables, tout en maintenant des normes de sécurité, de confidentialité et de conformité. Caractéristiques clés et fonctionnalités : - Choix de modèle : Accédez à une large gamme de FMs provenant des principaux fournisseurs d'IA, permettant de sélectionner le modèle le plus adapté pour des cas d'utilisation spécifiques. - Développement d'agents : Utilisez Amazon Bedrock AgentCore pour créer, déployer et exploiter des agents d'IA en toute sécurité à grande échelle, facilitant l'automatisation de tâches complexes. - Personnalisation : Adaptez les modèles avec des données propriétaires en utilisant des outils tels que les bases de connaissances, l'automatisation des données, l'ingénierie des invites et le réglage fin pour améliorer la pertinence et la précision. - Sécurité et garde-fous : Mettez en œuvre des mesures de protection avec Bedrock Guardrails pour filtrer le contenu nuisible et garantir une utilisation responsable de l'IA, soutenant la conformité aux normes de l'industrie. - Optimisation des coûts : Optimisez les performances et les dépenses grâce à des fonctionnalités telles que la distillation de modèles et le routage intelligent des invites, équilibrant coût, latence et précision. Valeur principale et solutions fournies : Amazon Bedrock permet aux organisations de développer et de déployer rapidement des applications d'IA générative sans les complexités de la gestion de l'infrastructure. En offrant une sélection diversifiée de modèles de base et des outils de personnalisation complets, il permet aux entreprises de créer des solutions d'IA adaptées à leurs besoins uniques. Les mesures de sécurité robustes de la plateforme et le soutien à la conformité garantissent que les applications sont construites de manière responsable, répondant aux préoccupations concernant la confidentialité des données et l'utilisation éthique de l'IA. En fin de compte, Amazon Bedrock facilite l'innovation, améliore l'efficacité opérationnelle et génère un impact commercial réel grâce à une intégration d'IA évolutive et sécurisée. **Average Rating:** 4.3/5.0 **Total Reviews:** 76 #### Who Is the Company Behind AWS Bedrock? - **Vendeur:** [Amazon Web Services (AWS)](https://www.g2.com/fr/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Année de fondation:** 2006 - **Emplacement du siège social:** Seattle, WA - **Twitter:** @awscloud 2,232,483 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 employés sur LinkedIn® - **Propriété:** NASDAQ: AMZN #### Who Uses This Product? - **Who Uses This:** Ingénieur logiciel - **Top Industries:** Technologie de l'information et services, Logiciels informatiques - **Company Size:** 49% Large, 32% Medium #### What Do G2 Reviewers Say About AWS Bedrock? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs trouvent la **facilité d'utilisation** d'AWS Bedrock inestimable, surtout avec son API unifiée et son architecture sans serveur. - Les utilisateurs apprécient la **variété de modèles** dans AWS Bedrock, permettant des solutions sur mesure pour des cas d'utilisation diversifiés. - Les utilisateurs apprécient les **intégrations faciles** d'AWS Bedrock, ce qui rend simple le changement de modèles et la rationalisation des flux de travail. - Les utilisateurs apprécient la **facilité d'utilisation et la sécurité** d'AWS Bedrock, ce qui améliore l'inspiration et la productivité dans les applications d'IA générative. - Les utilisateurs apprécient l' **API unifiée** d'AWS Bedrock, permettant un changement de modèle fluide et des intégrations faciles au sein d'AWS. ##### Cons - Les utilisateurs trouvent AWS Bedrock **cher** , surtout pour les opérations à grande échelle et les applications de niche nécessitant une personnalisation poussée. - Les utilisateurs trouvent les **problèmes de complexité** d'AWS Bedrock difficiles, surtout pour les nouveaux venus et les cas d'utilisation de niche. - Les utilisateurs rencontrent des **problèmes de modèle** avec AWS Bedrock, y compris des coûts élevés et une disponibilité limitée des modèles populaires. - Les utilisateurs trouvent la **courbe d'apprentissage abrupte** d'AWS Bedrock difficile, en particulier pour ceux qui sont nouveaux dans les services AWS. - Les utilisateurs expriment leur frustration face à l' **accès limité** aux modèles dans AWS Bedrock, impactant la personnalisation et la disponibilité. #### What Are Recent G2 Reviews of AWS Bedrock? **["IA générative prête pour l'entreprise avec plusieurs modèles de base dans un service géré unique"](https://www.g2.com/fr/survey_responses/aws-bedrock-review-13160296)** **Rating:** 4.5/5.0 stars _— Atharva P._ [Read full review](https://www.g2.com/fr/survey_responses/aws-bedrock-review-13160296) **["Accès flexible et contrôlé à plusieurs modèles de base dans AWS Bedrock"](https://www.g2.com/fr/survey_responses/aws-bedrock-review-12992839)** **Rating:** 4.5/5.0 stars _— Athira G._ [Read full review](https://www.g2.com/fr/survey_responses/aws-bedrock-review-12992839) ### [Google Cloud AI Infrastructure](https://www.g2.com/fr/products/google-cloud-ai-infrastructure/reviews) L'infrastructure AI de Google Cloud offre une plateforme évolutive, performante et rentable, adaptée à des charges de travail AI diversifiées, englobant à la fois les tâches d'entraînement et d'inférence. En intégrant des accélérateurs matériels avancés tels que les GPU et les TPU avec des services gérés comme Vertex AI et Google Kubernetes Engine (GKE), elle permet un développement, un déploiement et une mise à l'échelle efficaces des modèles AI. Caractéristiques clés et fonctionnalités : - Matériel flexible et évolutif : Offre une large gamme d'options de calcul optimisées pour l'AI, y compris les GPU, les TPU et les CPU, pour s'adapter à diverses charges de travail AI allant de l'entraînement haute performance à l'inférence à faible coût. - Services d'infrastructure gérés : Utilise Vertex AI et GKE pour simplifier la configuration des environnements d'apprentissage automatique, automatiser l'orchestration, gérer de grands clusters et déployer des applications à faible latence de manière efficace. - Support pour les frameworks AI populaires : Offre une compatibilité avec les principaux frameworks AI tels que TensorFlow, PyTorch et MXNet, permettant aux développeurs de travailler dans leurs environnements préférés sans contraintes. - Évolutivité mondiale : Construit sur le réseau de centres de données Jupiter de Google Cloud, il offre l'échelle mondiale et la performance requises pour des charges de travail AI à haute intensité, soutenant des services qui répondent à des milliards d'utilisateurs. Valeur principale et problème résolu : L'infrastructure AI de Google Cloud répond aux défis du développement et du déploiement de modèles AI en fournissant une plateforme robuste, évolutive et rentable. Elle simplifie l'orchestration des charges de travail AI à grande échelle, améliore la productivité du développement et assure une performance et une efficacité des coûts optimales. En offrant une plateforme flexible et ouverte avec un support pour divers frameworks AI et accélérateurs matériels, elle permet aux organisations d'innover et de faire évoluer leurs solutions AI de manière efficace. **Average Rating:** 4.5/5.0 **Total Reviews:** 45 #### Who Is the Company Behind Google Cloud AI Infrastructure? - **Vendeur:** [Google](https://www.g2.com/fr/sellers/google) - **Année de fondation:** 1998 - **Emplacement du siège social:** Mountain View, CA - **Twitter:** @google 31,899,995 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employés sur LinkedIn® - **Propriété:** NASDAQ:GOOG #### Who Uses This Product? - **Top Industries:** Technologie de l'information et services, Logiciels informatiques - **Company Size:** 49% Small, 38% Medium #### What Do G2 Reviewers Say About Google Cloud AI Infrastructure? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient la **scalabilité inégalée** de l'infrastructure AI de Google Cloud, facilitant l'entraînement et le déploiement efficaces des modèles d'IA. - Les utilisateurs apprécient la **puissance de calcul haute performance** de l'infrastructure AI de Google Cloud pour une formation et un déploiement efficaces des modèles AI. - Les utilisateurs apprécient la **facilité d'utilisation** de l'infrastructure AI de Google Cloud, rationalisant les flux de travail et améliorant la productivité de manière transparente. - Les utilisateurs apprécient l' **intégration transparente** avec d'autres outils Google Cloud, améliorant ainsi leur expérience de gestion des modèles d'IA. - Les utilisateurs apprécient les **TPUs haute performance et l'intégration transparente** de l'infrastructure AI de Google Cloud, améliorant leur expérience de développement AI. ##### Cons - Les utilisateurs trouvent l'infrastructure AI de Google Cloud **chère** , surtout pour les grands projets en raison de la tarification complexe et de la gestion. - Les utilisateurs trouvent la **courbe d'apprentissage abrupte** difficile, car elle nécessite une expertise significative pour utiliser efficacement l'infrastructure AI de Google Cloud. - Les utilisateurs ont du mal avec la **complexité des prix et de l'installation** , ce qui rend difficile pour les nouveaux utilisateurs de se développer efficacement. - Les utilisateurs trouvent souvent la **mauvaise documentation** de l'infrastructure AI de Google Cloud difficile, surtout pour les équipes non techniques. - Les utilisateurs notent l' **expertise technique requise** pour naviguer dans l'infrastructure AI de Google Cloud, ce qui la rend difficile pour les nouveaux arrivants. #### What Are Recent G2 Reviews of Google Cloud AI Infrastructure? **["Excellente boîte à outils pour la mise en œuvre de l'IA dans le cloud"](https://www.g2.com/fr/survey_responses/google-cloud-ai-infrastructure-review-11775940)** **Rating:** 4.5/5.0 stars _— Luis M._ [Read full review](https://www.g2.com/fr/survey_responses/google-cloud-ai-infrastructure-review-11775940) **["Outils d'IA puissants et évolutivité avec une excellente documentation sur Google Cloud"](https://www.g2.com/fr/survey_responses/google-cloud-ai-infrastructure-review-11803619)** **Rating:** 4.0/5.0 stars _— Neha J._ [Read full review](https://www.g2.com/fr/survey_responses/google-cloud-ai-infrastructure-review-11803619) ## FAQs About Generative AI Infrastructure Software Generated using AI Last updated: April 27, 2026 ### What what's the best generative AI platform for app development? Based on G2 reviews, these products are frequently highlighted for building and deploying AI applications. - [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) -- Reviewers use it to build, test, deploy, and monitor AI applications in one place, with strong support for model experimentation and app integration. - [Databricks](https://www.g2.com/products/databricks/reviews) -- Users describe it as a unified environment for data engineering, analytics, and AI workflows, helping teams move from pipelines to production use cases faster. - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) -- Reviewers mention using it to build enterprise AI solutions with prompt testing, model tuning, deployment workflows, and governance in one platform. ### What leading generative AI tools for enterprise applications? Based on G2 reviews, these products are commonly used for enterprise AI deployment, governance, and cross-team collaboration. - [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) -- Users highlight its managed infrastructure, model deployment, monitoring, and integrations with other Google Cloud services for production AI applications. - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) -- Reviewers often point to governance, prompt labs, tuning workflows, and enterprise-ready deployment support for production AI systems. - [Databricks](https://www.g2.com/products/databricks/reviews) -- Teams use it to unify data, analytics, and machine learning work in one governed environment for large-scale enterprise initiatives. ### What top generative AI software providers for small businesses? Based on G2 reviews, these products stand out for approachable setup, flexibility, and support for smaller teams. - [Botpress](https://www.g2.com/products/botpress/reviews) -- Reviewers describe it as accessible for building chatbots and AI agents with flexible integrations, low-code workflows, and budget-friendly entry points. - [Lyzr.ai](https://www.g2.com/products/lyzr-lyzr-ai/reviews) -- Users say it is easy to deploy, fast for prototyping AI automations, and helpful for teams that want quick implementation without heavy engineering overhead. - [Wiro](https://www.g2.com/products/wiro/reviews) -- Reviewers emphasize easy setup, one API for multiple models, and support for smaller teams building content, media, and application workflows. ### What is the best generative ai infrastructure software? Based on G2 reviews, these products are most often associated with scalable infrastructure, deployment workflows, and production readiness. - [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) -- Reviewers consistently mention scalable GPU and TPU resources, strong performance for training and inference, and integration with broader Google Cloud services. - [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) -- Users describe it as a managed platform that reduces infrastructure overhead by combining experimentation, deployment, monitoring, and model access. - [Databricks](https://www.g2.com/products/databricks/reviews) -- Reviewers highlight its unified workspace for pipelines, analytics, and AI workloads, helping teams reduce tool sprawl and manage production data workflows. ### How do buyers compare ease of setup and cost visibility in generative AI infrastructure? Across recent G2 reviews, buyers often weigh two themes together: how quickly teams can get started and how easy ongoing costs are to understand. Reviewers praise platforms that centralize training, deployment, and integrations because they reduce setup friction and make experimentation faster. At the same time, many users call out pricing complexity, especially when multiple services, compute choices, or usage-based billing are involved. Cost predictability, documentation quality, and onboarding guidance repeatedly appear as decision factors. In this category, buyers seem to favor products that balance strong scalability and flexibility with clearer administration, easier navigation, and better visibility into resource usage during day-to-day operations. ### [Langchain](https://www.g2.com/fr/products/langchain/reviews) LangChain est un cadre open-source conçu pour simplifier le développement d'applications alimentées par de grands modèles de langage (LLMs). En fournissant une suite d'outils et d'abstractions, LangChain permet aux développeurs de créer des applications contextuelles et raisonnées telles que des chatbots, des systèmes de questions-réponses et des générateurs de contenu. Son architecture modulaire permet une intégration transparente avec divers LLMs, y compris ceux d'OpenAI, Anthropic et Cohere, facilitant la création de solutions sophistiquées pilotées par l'IA. Caractéristiques clés et fonctionnalités : - Composants modulaires : LangChain propose des modules isolés pour l'entrée/sortie du modèle, des modèles de prompts et des mécanismes de récupération, permettant aux développeurs de personnaliser et d'étendre les fonctionnalités selon les besoins. - Cadre d'agents : Le cadre prend en charge la création d'agents capables de prendre des décisions et d'effectuer des tâches basées sur les entrées des utilisateurs, améliorant l'interactivité et l'utilité des applications. - Gestion de la mémoire : LangChain offre des capacités de mémoire à court et long terme, permettant aux applications de maintenir le contexte sur des interactions prolongées. - Intégrations étendues : Avec plus de 1 000 intégrations, LangChain permet aux développeurs de se connecter à divers modèles, outils et bases de données sans avoir besoin de réécrire le code de l'application, assurant flexibilité et pérennité. - Runtime durable : Construit sur le runtime durable de LangGraph, LangChain garantit que les agents ont une persistance intégrée, des capacités de retour en arrière, de point de contrôle et un support pour les interactions humaines dans la boucle. Valeur principale et résolution de problèmes : LangChain répond aux défis auxquels les développeurs sont confrontés lors de l'intégration des LLMs dans les applications en offrant une approche structurée et efficace pour construire des solutions pilotées par l'IA. Il rationalise le processus de développement, réduit la complexité associée à la gestion des interactions entre divers composants et offre la flexibilité nécessaire pour s'adapter aux technologies d'IA en évolution. En exploitant LangChain, les développeurs peuvent déployer rapidement des applications IA fiables et évolutives capables de comprendre et de répondre à des entrées utilisateur complexes, améliorant ainsi les expériences utilisateur et l'efficacité opérationnelle. **Average Rating:** 4.5/5.0 **Total Reviews:** 85 #### Who Is the Company Behind Langchain? - **Vendeur:** [Langchain](https://www.g2.com/fr/sellers/langchain) - **Emplacement du siège social:** N/A - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d903c2874b28b2fffbe32f9106ce307331a18248d360f67494abd9cc22fd7ca4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flangchain%2F&secure%5Burl_type%5D=linkedin_company_website) 399 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Développeur de logiciels - **Top Industries:** Technologie de l'information et services, Logiciels informatiques - **Company Size:** 41% Small, 31% Medium #### What Do G2 Reviewers Say About Langchain? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs trouvent que la **facilité d'utilisation** de Langchain est inestimable pour construire rapidement des applications d'IA complexes avec diverses intégrations. - Les utilisateurs apprécient les **intégrations faciles** de Langchain, permettant des connexions transparentes entre les LLM et diverses API. - Les utilisateurs apprécient les **fonctionnalités conviviales** de Langchain, rendant des capacités puissantes accessibles à ceux qui ont des connaissances de base en IA. - Les utilisateurs admirent les **intégrations transparentes** de LangChain, qui améliorent l'efficacité dans le développement d'applications et de flux de travail d'IA. - Les utilisateurs apprécient les **capacités de personnalisation** de LangChain, permettant des solutions d'IA sur mesure tout en simplifiant le développement d'applications. ##### Cons - Les utilisateurs trouvent des **problèmes de complexité** avec Langchain, citant des abstractions lourdes et une courbe d'apprentissage abrupte qui entravent la productivité. - Les utilisateurs trouvent la **courbe d'apprentissage abrupte** de Langchain accablante, nécessitant une connaissance approfondie de ses composants et des changements fréquents de l'API. - Les utilisateurs trouvent que la **mauvaise documentation** de LangChain est confuse et obsolète, ce qui complique leur processus de développement. - Les utilisateurs ont du mal avec **l'instabilité du logiciel** en raison de changements fréquents qui compliquent la maintenance à long terme des projets. - Les utilisateurs trouvent que **la gestion des erreurs est difficile** dans Langchain, ce qui complique le débogage et augmente la frustration avec les composants imbriqués. #### What Are Recent G2 Reviews of Langchain? **["LangChain accélère un excellent cadre pour RAG et agent IA"](https://www.g2.com/fr/survey_responses/langchain-review-13183408)** **Rating:** 4.0/5.0 stars _— Akash R._ [Read full review](https://www.g2.com/fr/survey_responses/langchain-review-13183408) **["LangChain 1.0 : Cadre mature et modulaire avec des intégrations puissantes indépendantes des fournisseurs"](https://www.g2.com/fr/survey_responses/langchain-review-13216010)** **Rating:** 4.5/5.0 stars _— Aswindev P._ [Read full review](https://www.g2.com/fr/survey_responses/langchain-review-13216010) ### [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle. With watsonx.ai, you can build, train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data. **Average Rating:** 4.4/5.0 **Total Reviews:** 140 #### Who Is the Company Behind IBM watsonx.ai? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Small, 32% Large #### What Do G2 Reviewers Say About IBM watsonx.ai? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** in IBM watsonx.ai, facilitating quicker AI integration and effective management. - Users appreciate the **model variety** of IBM watsonx.ai, enabling customized training on existing models for enhanced performance. - Users appreciate the **seamless integration of enterprise-grade AI** in IBM watsonx.ai, enhancing decision-making and workflow efficiency. - Users appreciate the **enterprise-grade integrated studio** of IBM watsonx.ai for seamless AI training and reliable insights. - Users value the **enterprise-grade AI integration** of IBM watsonx.ai, enhancing decision-making and business operations efficiently. ##### Cons - Users find the **difficult learning** curve of IBM watsonx.ai daunting, making it less accessible for newcomers and smaller teams. - Users find the **complex setup** of IBM watsonx.ai challenging, making it less suitable for small teams and beginners. - Users find the **steep learning curve** of IBM watsonx.ai challenging, making it less accessible for non-technical teams. - Users find the product **expensive** and challenging for small teams, citing high costs and complex setup requirements. - Users find the **complex setup** of IBM watsonx.ai challenging, especially for beginners and small teams. #### What Are Recent G2 Reviews of IBM watsonx.ai? **["Comprehensive One-Stop Platform for Building and Testing AI Workflows"](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13196706)** **Rating:** 4.0/5.0 stars _— Manish D._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13196706) **["Unified, Governed AI Studio with Strong Performance and Seamless IBM Integrations"](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13184421)** **Rating:** 4.0/5.0 stars _— Manan S._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13184421) ### [Dataiku](https://www.g2.com/products/dataiku/reviews) Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months. **Average Rating:** 4.4/5.0 **Total Reviews:** 213 #### Who Is the Company Behind Dataiku? - **Seller:** [Dataiku](https://www.g2.com/sellers/dataiku) - **Company Website:** Dataiku.com - **Year Founded:** 2013 - **HQ Location:** New York, NY - **Twitter:** @dataiku 22,917 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e59ec8fccc02ecc4f883419e54da56d3f6fc8b1e556153f0cc01cd05e3b77faa&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataiku%2F&secure%5Burl_type%5D=linkedin_company_website) 1,619 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Scientist, Data Analyst - **Top Industries:** Financial Services, Pharmaceuticals - **Company Size:** 60% Large, 22% Medium #### What Do G2 Reviewers Say About Dataiku? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate how Dataiku facilitates **easy ML development** , allowing focus on building models without the complexity. - Users love the **ease of use** in Dataiku, simplifying complex tasks and enhancing their data analysis experience. - Users appreciate the **ease of usability** in Dataiku, enabling collaboration for both technical and non-technical users. - Users appreciate the **easy integrations** of Dataiku, facilitating smooth collaboration and deployment across various analytics tools. - Users benefit from the **productivity improvement** of Dataiku, enabling faster project development and enhanced career growth. ##### Cons - Users find the **steep learning curve** of Dataiku challenging, making it tough for beginners to master the platform. - Users find the **steep learning curve** challenging for beginners, impacting their ability to effectively use Dataiku. - Users find the **difficult learning** curve challenging, particularly for beginners navigating advanced features. - Users experience **slow performance** with Dataiku when handling large datasets, affecting efficiency and productivity. - Users find Dataiku **expensive** , especially for smaller organizations and projects, impacting accessibility and affordability. #### What Are Recent G2 Reviews of Dataiku? **["Unified, Low-Code Platform That Boosts End-to-End Data & AI Productivity"](https://www.g2.com/survey_responses/dataiku-review-13125252)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/survey_responses/dataiku-review-13125252) **["Build Faster Workflows with Connected Data from many providers or distinct data sources"](https://www.g2.com/survey_responses/dataiku-review-13120436)** **Rating:** 4.5/5.0 stars _— Adalberto G._ [Read full review](https://www.g2.com/survey_responses/dataiku-review-13120436) #### What Are G2 Users Discussing About Dataiku? - [Is Dataiku an ETL tool?](https://www.g2.com/discussions/is-dataiku-an-etl-tool) - [Is Dataiku web based?](https://www.g2.com/discussions/is-dataiku-web-based) - [What is DSS Dataiku?](https://www.g2.com/discussions/what-is-dss-dataiku) - [What is Dataiku DSS used for?](https://www.g2.com/discussions/what-is-dataiku-dss-used-for) ### [Wirestock](https://www.g2.com/fr/products/wirestock/reviews) Les modèles d'IA ne sont aussi bons que les données sur lesquelles ils sont entraînés. C'est pourquoi Wirestock travaille avec une communauté mondiale de contributeurs pour produire des données multimodales vérifiées, y compris des images, des vidéos, des designs, de la musique et plus encore. Wirestock fournit à la fois des ensembles de données prêts à l'emploi et du contenu personnalisé construit autour d'objectifs d'entraînement spécifiques. Nous travaillons directement avec les équipes d'IA pour définir les besoins et produire ce dont les modèles ont besoin pour accomplir des tâches créatives avancées. Les créateurs comprennent à quoi sert leur travail et comment ils seront rémunérés pour celui-ci. Les partenaires en IA savent que leurs données sont légitimes, de haute qualité et éthiquement sourcées. Cette transparence partagée construit la confiance des deux côtés. Peu importe où vous en êtes dans votre parcours créatif, votre travail a sa place ici. Nous connectons les talents à travers la photographie, la vidéo et la réalisation de films, le design graphique et en mouvement, la modélisation 3D, et d'autres disciplines pour travailler sur des projets créatifs qui construisent la technologie de prochaine génération. Les créateurs sont rémunérés pour chaque contribution créative lorsqu'elle est licenciée pour alimenter des modèles d'IA de pointe. Valoriser le talent créatif et respecter l'éthique derrière chaque pièce de contenu est au cœur de nos valeurs. **Average Rating:** 4.9/5.0 **Total Reviews:** 30 #### Who Is the Company Behind Wirestock? - **Vendeur:** [Wirestock](https://www.g2.com/fr/sellers/wirestock) - **Année de fondation:** 2019 - **Emplacement du siège social:** San Jose, US - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83d9477201eea6ff9252d6b7b58b804dfd5be0c2f30ad173cf637c0971a18e8f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwirestock&secure%5Burl_type%5D=linkedin_company_website) 495 employés sur LinkedIn® #### Who Uses This Product? - **Top Industries:** Photographie - **Company Size:** 68% Small, 16% Medium #### What Do G2 Reviewers Say About Wirestock? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs louent le **service client rapide et amical** de Wirestock, améliorant ainsi leur expérience globale en tant que créateurs. - Les utilisateurs trouvent que Wirestock offre **une facilité d'utilisation exceptionnelle** , simplifiant les flux de travail et améliorant la créativité des créateurs de contenu. - Les utilisateurs louent Wirestock pour son **efficacité exceptionnelle** , rationalisant les processus et améliorant la créativité sans le fardeau manuel. - Les utilisateurs apprécient la **collaboration efficace** et le soutien de Wirestock, ce qui améliore leur croissance créative et professionnelle. - Les utilisateurs louent la **facilité d'installation** de Wirestock, la trouvant simple et un grand avantage pour commencer à travailler. ##### Cons - Les utilisateurs trouvent les **heures limitées** de communication frustrantes, surtout lorsque les managers sont lents à répondre pendant la semaine. - Les utilisateurs trouvent que la **limite mensuelle de téléchargement est restrictive** , ce qui entrave leur capacité à télécharger plus de contenu efficacement. - Les utilisateurs estiment que la **mauvaise interface utilisateur** nuit à l'expérience globale, suggérant un besoin d'un design plus intuitif. - Les utilisateurs expriment leur frustration face au **manque de charge de travail constante** avec la plateforme de données Wirestock, ce qui affecte leur productivité. - Les utilisateurs trouvent la **performance lente** frustrante, car elle entrave leur capacité à télécharger et traiter le contenu efficacement. #### What Are Recent G2 Reviews of Wirestock? **["Flux de travail rationalisé, contenu de qualité et une équipe Wirestock vraiment solidaire"](https://www.g2.com/fr/survey_responses/wirestock-review-12634326)** **Rating:** 5.0/5.0 stars _— Argyro T._ [Read full review](https://www.g2.com/fr/survey_responses/wirestock-review-12634326) **["Wirestock rend le téléchargement multi-marché rapide et sans effort"](https://www.g2.com/fr/survey_responses/wirestock-review-13129194)** **Rating:** 4.0/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/fr/survey_responses/wirestock-review-13129194) ### [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results. **Average Rating:** 4.5/5.0 **Total Reviews:** 288 #### Who Is the Company Behind Elasticsearch? - **Seller:** [Elastic](https://www.g2.com/sellers/elastic) - **Company Website:** www.elastic.co - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @elastic 65,200 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website) 5,079 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 38% Medium, 33% Large #### What Do G2 Reviewers Say About Elasticsearch? _AI-generated summary from verified user reviews_ ##### Pros - Users find Elasticsearch extremely **easy to use** , enhancing their integration and observability capabilities effortlessly. - Users commend Elasticsearch for its **impressive speed** , efficiently handling large datasets and ensuring smooth scalability. - Users value **fast search capabilities** in Elasticsearch, enabling quick access to large datasets and streamlined operations. - Users find the **blazing-fast performance** and thorough documentation of Elasticsearch immensely beneficial for their search needs. - Users admire the **powerful search and aggregation features** of Elasticsearch, appreciating its performance and flexibility at scale. ##### Cons - Users find Elasticsearch **expensive to scale** , especially with high data usage and costly licensing for valuable features. - Users find that **Elasticsearch requires significant expertise** for optimal performance, complicating its setup and management. - Users find the **learning difficulty** of Elasticsearch challenging, especially with complex setups and query management for beginners. - Users feel that Elasticsearch requires **improvement in user-friendliness** and performance tuning, complicating their experience with searches. - Users find the **difficult learning curve** of Elasticsearch challenging, requiring considerable effort and time to master. #### What Are Recent G2 Reviews of Elasticsearch? **["Simple UI, Seamless Integrations, and Strong Elasticsearch Performance"](https://www.g2.com/survey_responses/elasticsearch-review-12835645)** **Rating:** 4.5/5.0 stars _— Antonia F._ [Read full review](https://www.g2.com/survey_responses/elasticsearch-review-12835645) **["Impressive Speed and Powerful Near Real-Time Search with Elasticsearch"](https://www.g2.com/survey_responses/elasticsearch-review-12579166)** **Rating:** 5.0/5.0 stars _— Ertuğrul D._ [Read full review](https://www.g2.com/survey_responses/elasticsearch-review-12579166) ### [Nvidia AI Enterprise](https://www.g2.com/fr/products/nvidia-ai-enterprise/reviews) NVIDIA AI Enterprise est une plateforme logicielle complète et native du cloud conçue pour accélérer le développement et le déploiement d'applications d'IA de niveau production, y compris l'IA générative, la vision par ordinateur et l'IA vocale. Elle offre plus de 100 frameworks, modèles préentraînés et outils de développement, fournissant une sécurité, une stabilité et un support de niveau entreprise pour rationaliser les flux de travail d'IA et assurer la continuité des activités. Caractéristiques clés et fonctionnalités : - Outils d'IA étendus : Accès à une vaste gamme de frameworks et de modèles préentraînés pour faciliter diverses applications d'IA. - Support de niveau entreprise : Mises à jour de sécurité régulières, stabilité des API et logiciel de gestion de bout en bout pour maintenir des opérations d'IA robustes et sécurisées. - Compatibilité native du cloud et hybride : Optimisé pour le déploiement sur des clouds publics, des centres de données virtualisés et des infrastructures sur site, assurant flexibilité et évolutivité. - Activation de l'IA générative : Inclut des outils comme NVIDIA NeMo pour personnaliser les modèles de base préentraînés afin de répondre à des besoins commerciaux spécifiques. Valeur principale et solutions fournies : NVIDIA AI Enterprise simplifie le cycle de développement de l'IA en offrant une plateforme unifiée qui réduit le temps et les coûts de développement tout en améliorant la précision et la performance. En fournissant un environnement sécurisé et stable, elle atténue les risques associés aux logiciels open-source, assurant des déploiements d'IA fiables et efficaces pour des applications critiques. Sa compatibilité avec divers environnements de déploiement permet aux organisations de développer des applications une fois et de les déployer n'importe où, facilitant une transition en douceur des projets pilotes à la production à grande échelle. **Average Rating:** 4.5/5.0 **Total Reviews:** 14 #### Who Is the Company Behind Nvidia AI Enterprise? - **Vendeur:** [NVIDIA](https://www.g2.com/fr/sellers/nvidia) - **Année de fondation:** 1993 - **Emplacement du siège social:** Santa Clara, CA - **Twitter:** @nvidia 2,582,827 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=78ee5403fa8a1bf981ce9ddbc58839ffedf0b07ab7bb703e5734e5f87464a603&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3608%2F&secure%5Burl_type%5D=linkedin_company_website) 48,229 employés sur LinkedIn® - **Propriété:** NVDA #### Who Uses This Product? - **Top Industries:** Technologie de l'information et services - **Company Size:** 57% Small, 29% Medium #### What Do G2 Reviewers Say About Nvidia AI Enterprise? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient les **outils d'IA complets** de Nvidia AI Enterprise, améliorant considérablement leur expérience de développement. - Les utilisateurs apprécient l' **intégration fluide de l'IA** de Nvidia AI Enterprise, améliorant leur efficacité et l'adoption des technologies d'IA. - Les utilisateurs louent la **performance optimisée du GPU** de Nvidia AI Enterprise, améliorant considérablement leurs capacités de calcul en IA. - Les utilisateurs apprécient le **support de niveau entreprise** de Nvidia AI Enterprise, qui améliore l'expérience utilisateur globale et la satisfaction. - Les utilisateurs apprécient la **facilité de déploiement** de Nvidia AI Enterprise, améliorant leur adoption de l'IA grâce à une intégration transparente. ##### Cons - Les utilisateurs trouvent souvent que la **complexité de l'installation et de la gestion** est un défi, surtout sans connaissances approfondies en IA ou en informatique. - Les utilisateurs ont souvent du mal avec la **complexité** de la configuration et de la gestion de NVIDIA AI Enterprise, en particulier sans expertise approfondie. - Les utilisateurs trouvent que les **exigences d'infrastructure coûteuses** pour Nvidia AI Enterprise représentent un fardeau financier important. - Les utilisateurs sont confrontés à une **courbe d'apprentissage abrupte** avec Nvidia AI Enterprise, surtout lorsqu'ils passent à des flux de travail d'IA sans expérience préalable. - Les utilisateurs éprouvent **une flexibilité limitée** en raison de la forte dépendance au matériel NVIDIA, ce qui restreint les options pour des configurations diversifiées. #### What Are Recent G2 Reviews of Nvidia AI Enterprise? **["Nvidia AI Enterprise !"](https://www.g2.com/fr/survey_responses/nvidia-ai-enterprise-review-10291542)** **Rating:** 5.0/5.0 stars _— Jon Ryan L._ [Read full review](https://www.g2.com/fr/survey_responses/nvidia-ai-enterprise-review-10291542) **["Puissance de l'IA évolutive"](https://www.g2.com/fr/survey_responses/nvidia-ai-enterprise-review-11735679)** **Rating:** 5.0/5.0 stars _— Subhajeet S._ [Read full review](https://www.g2.com/fr/survey_responses/nvidia-ai-enterprise-review-11735679) ### [Workato](https://www.g2.com/products/workato/reviews) Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise. **Average Rating:** 4.7/5.0 **Total Reviews:** 748 #### Who Is the Company Behind Workato? - **Seller:** [Workato](https://www.g2.com/sellers/workato) - **Company Website:** www.workato.com - **Year Founded:** 2013 - **HQ Location:** Mountain View, California - **Twitter:** @Workato 3,641 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=229b7e77382a8d2c3a0aeebe68dfc2316ea2caa6dd5d95ed0ee0d08884e6fc88&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3675685&secure%5Burl_type%5D=linkedin_company_website) 1,401 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 43% Medium, 33% Large #### What Do G2 Reviewers Say About Workato? _AI-generated summary from verified user reviews_ ##### Pros - Users find Workato to be **user-friendly and efficient** , allowing easy automation without technical expertise. - Users love the **easy integrations** offered by Workato, making automation between tools simple and efficient. - Users value the **ease of integrations** with Workato, appreciating its user-friendly interface and extensive pre-built connectors. - Users appreciate Workato's **user-friendly design and automation capabilities** , enhancing productivity and simplifying complex workflows. - Users love the **ease of automation** in Workato, saving hours by effortlessly integrating various tools and systems. ##### Cons - Users find the **complexity** of Workato daunting, especially regarding terminology and pricing structures that confuse newcomers. - Users find the **learning curve steep** , with complex workflows and overwhelming onboarding complicating initial use. - Users express frustration over **data limitations** in Workato, hindering email sends and file transfers for larger tasks. - Users find the **limited application library** of Workato restrictive, requiring manual setup for less common integrations. - Users face a **steep learning curve** with Workato, finding onboarding and initial setup quite overwhelming and complex. #### What Are Recent G2 Reviews of Workato? **["Workato helps us building complex integrations at lightning speed."](https://www.g2.com/survey_responses/workato-review-10305521)** **Rating:** 5.0/5.0 stars _— Sreenath B._ [Read full review](https://www.g2.com/survey_responses/workato-review-10305521) **["The Platform That Grew With Us"](https://www.g2.com/survey_responses/workato-review-12941177)** **Rating:** 5.0/5.0 stars _— Anshu b._ [Read full review](https://www.g2.com/survey_responses/workato-review-12941177) #### What Are G2 Users Discussing About Workato? - [What does Workato do?](https://www.g2.com/discussions/what-does-workato-do) - [How much does Workato cost?](https://www.g2.com/discussions/how-much-does-workato-cost) - 1 comment - [What is a Workato recipe?](https://www.g2.com/discussions/what-is-a-workato-recipe) - 3 comments - [What is Workato used for?](https://www.g2.com/discussions/what-is-workato-used-for) ### [Saturn Cloud](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews) Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage ML models with any stack, and give IT security the controls that work for your enterprise. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.io **Average Rating:** 4.8/5.0 **Total Reviews:** 321 #### Who Is the Company Behind Saturn Cloud? - **Seller:** [Saturn Cloud](https://www.g2.com/sellers/saturn-cloud) - **Year Founded:** 2018 - **HQ Location:** New York, US - **Twitter:** @saturn\_cloud 3,279 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d7c242c396d7c27229bcc9791d0c1f6612fbe28bd40caa3e2936785d30e5c2d4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsaturn-cloud%2F&secure%5Burl_type%5D=linkedin_company_website) 41 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Scientist, Student - **Top Industries:** Computer Software, Higher Education - **Company Size:** 82% Small, 12% Medium #### What Do G2 Reviewers Say About Saturn Cloud? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Saturn Cloud, making setup and functionality straightforward and enjoyable. - Users value the **powerful GPU performance** of Saturn Cloud, enhancing speed and efficiency in data science projects. - Users praise the **powerful GPU computing resources** of Saturn Cloud, enhancing their project efficiency and ease of use. - Users appreciate the **setup ease** of Saturn Cloud, enabling quick and convenient access to GPU resources. - Users commend the **easy integrations** in Saturn Cloud, enhancing convenience for machine learning and big data projects. ##### Cons - Users find Saturn Cloud's pricing **expensive** , suggesting more affordable plans and options for students or new grads. - Users experience **complexity issues** with pricing and documentation, which can hinder their initial setup and usage. - Users find the **poor documentation** frustrating, especially for advanced setups and beginners needing guidance. - Users find the **difficult setup** of Saturn Cloud to be a significant hurdle before enjoying its benefits. - Users feel the **insufficient learning resources** hinder their experience, especially for beginners struggling with advanced setups. #### What Are Recent G2 Reviews of Saturn Cloud? **["Saturn Cloud Boosts Data Science Productivity with Scalable Jupyter, Dask, and GPUs"](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-13125535) **["Professional and user friendly"](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)** **Rating:** 4.5/5.0 stars _— zahra s._ [Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-8279916) ### [Wiro](https://www.g2.com/products/wiro/reviews) Wiro is a unified AI API and generative AI infrastructure platform designed to help organizations build, deploy, and scale AI-powered applications through a single integration. The platform enables developers to access large language models (LLMs), AI image generation models, text-to-video and image-to-video models, speech-to-text systems, and real-time conversational AI through one standardized API. Wiro is particularly suited for teams building AI video generator apps, AI image generation tools, AI chatbots, voice assistant platforms, and other generative AI SaaS products. Instead of integrating multiple providers separately, developers can use Wiro as a centralized AI integration layer that abstracts GPU infrastructure, model hosting, and vendor management. Beyond simple API aggregation, Wiro supports model operationalization, including fine-tuning workflows (such as LoRA and DreamBooth), reusable AI pipelines, and RAG (retrieval-augmented generation) architectures. Teams can train custom models, deploy fine-tuned versions, and orchestrate multi-model workflows within the same application pipeline. This makes Wiro suitable for production AI deployment, multi-model orchestration, and scalable AI integration in real-world applications. The platform hosts and optimizes open-source foundation models on dedicated GPU infrastructure while also providing unified access to commercial AI providers such as OpenAI and Google. Its centralized architecture supports intelligent routing, workload scheduling, monitoring, and high-throughput API traffic management. Wiro operates on a transparent, usage-based pricing model where customers are billed per API request based on compute and token usage. This approach allows startups, SaaS companies, and enterprise teams to scale AI workloads without long-term infrastructure commitments. By combining unified AI APIs, model fine-tuning, workflow orchestration, and multi-provider integration, Wiro functions as an AI infrastructure layer and OpenAI alternative API for teams building AI video apps, AI image generation platforms, conversational AI systems, and production-ready generative AI solutions. **Average Rating:** 4.9/5.0 **Total Reviews:** 28 #### Who Is the Company Behind Wiro? - **Seller:** [Wiro.ai](https://www.g2.com/sellers/wiro-ai) - **Company Website:** www.wiro.ai - **Year Founded:** 2023 - **HQ Location:** San Francisco, CA - **Twitter:** @wiroai 1,534 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2fb6a9da96586ee854f26406f6a0687e1e22d1ae25fc2da9c090cc863fa041e9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwiroai&secure%5Burl_type%5D=linkedin_company_website) 24 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Marketing and Advertising - **Company Size:** 97% Small, 3% Medium #### What Are Recent G2 Reviews of Wiro? **["The Easiest Way to Centralize AI Media Models"](https://www.g2.com/survey_responses/wiro-review-12557513)** **Rating:** 5.0/5.0 stars _— Altan K._ [Read full review](https://www.g2.com/survey_responses/wiro-review-12557513) **["Flexible APIs That Let You Build Anything"](https://www.g2.com/survey_responses/wiro-review-12703223)** **Rating:** 5.0/5.0 stars _— Metehan K._ [Read full review](https://www.g2.com/survey_responses/wiro-review-12703223) ### [Voiceflow](https://www.g2.com/products/voiceflow/reviews) Voiceflow is a AI agent platform that empowers product teams at mid-market and enterprise companies to design, deploy, and scale AI agents across chat and voice channels. Trusted by teams at StubHub, Superloop, JP Morgan Chase, and Trilogy, Voiceflow combines an intuitive drag-and-drop agent builder with a knowledge base, content management system, and native integrations, so teams can move from prototype to production faster. Ship advanced, production-ready AI agents with a developer-first toolkit and powerful API library that supports custom integrations and tailored interfaces. Voiceflow’s built-in analytics surfaces transcripts and let’s you set your own evaluation criteria at scale. Replay conversations, debug step-by-step, filter with precision, and visualize user actions like button clicks — all in a single platform. Voiceflow is ideal for product teams building chatbots, voice assistants, virtual agents, or omnichannel customer experiences. **Average Rating:** 4.6/5.0 **Total Reviews:** 111 #### Who Is the Company Behind Voiceflow? - **Seller:** [Voiceflow](https://www.g2.com/sellers/voiceflow) - **Company Website:** www.voiceflow.com - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d6db6ec5d977c0cf9fcc6ee9854faa09be2b46d90abcf838a12cca293a9d20d2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvoiceflowhq%2F&secure%5Burl_type%5D=linkedin_company_website) 88 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Founder, CEO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 60% Small, 15% Medium #### What Do G2 Reviewers Say About Voiceflow? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Voiceflow, facilitating intuitive design and seamless integration without coding. - Users love the **user-friendly no-code building** of Voiceflow, making it easy to create and customize AI agents. - Users praise the **easy integrations** of Voiceflow, allowing seamless connections with apps and enhancing overall functionality. - Users praise **Voiceflow's intuitive interface and powerful integration capabilities** , making AI bot creation seamless and efficient. - Users love the **easy integration features** of Voiceflow, making connections and customizations simple and intuitive. ##### Cons - Users find the **limited features** of Voiceflow restrictive, noting difficulties with integration and setup guidance. - Users find **integration issues** with Voiceflow, requiring more accessible guidance and improved connection processes for a smoother experience. - Users find the **missing features** in Voiceflow's dashboard limiting, affecting both functionality and user experience. - Users face **usage limitations** due to restricted integrations, hosting options, and reliance on built-in AI credits. - Users suggest that **improvements in onboarding and debugging** would enhance their experience with Voiceflow significantly. #### What Are Recent G2 Reviews of Voiceflow? **["Effortless Agent Building with Fair Pricing"](https://www.g2.com/survey_responses/voiceflow-review-12966733)** **Rating:** 5.0/5.0 stars _— Jack M._ [Read full review](https://www.g2.com/survey_responses/voiceflow-review-12966733) **["Intuitive Visual Designer That Speeds Up Conversational AI Development"](https://www.g2.com/survey_responses/voiceflow-review-13122005)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/survey_responses/voiceflow-review-13122005) #### What Are G2 Users Discussing About Voiceflow? - [What is Voiceflow used for?](https://www.g2.com/discussions/what-is-voiceflow-used-for) - 1 comment, 1 upvote ### [ZoomMate](https://www.g2.com/products/zoommate/reviews) ZoomMate is an AI workspace integrated into Zoom Workplace, designed to enhance productivity by transforming discussions into actionable outcomes. This innovative solution serves as a personal AI teammate that comprehensively understands, learns from, and acts on your daily tasks. By bridging the gap between conversation and execution, ZoomMate ensures that the decisions made during meetings and chats are effectively followed through, allowing users to focus on their core responsibilities. The target audience for ZoomMate includes professionals and teams who rely on collaborative tools to manage their workflows. Whether in corporate environments, remote teams, or educational institutions, users benefit from a seamless integration of AI capabilities into their existing Zoom ecosystem. ZoomMate is particularly useful for individuals who often find themselves juggling multiple tasks and tools, as it streamlines the process of tracking and completing work initiated during discussions. One of the standout features of ZoomMate is its ability to operate within the context of ongoing conversations. Unlike traditional AI assistants that require users to input specific commands, ZoomMate actively engages in the workflow by understanding the nuances of discussions and identifying next steps without needing explicit instructions. This proactive approach not only saves time but also reduces the cognitive load on users, allowing them to concentrate on strategic decision-making rather than administrative follow-ups. Additionally, ZoomMate consolidates various functions into a single platform, eliminating the need for multiple applications and licenses. This integration enhances data security by keeping sensitive information within the Zoom environment, reducing the risk associated with using disparate tools. The orchestration capabilities of ZoomMate allow it to manage tasks across different systems, ensuring that all team members are aligned and informed about project developments. In essence, ZoomMate redefines how teams collaborate and execute tasks by embedding AI directly into the workflow. Its unique ability to learn from interactions and provide context-aware assistance makes it a valuable asset for any organization looking to enhance productivity and streamline operations. By focusing on the follow-through of conversations, ZoomMate empowers users to achieve their goals more efficiently, transforming meetings into tangible results. **Average Rating:** 4.6/5.0 **Total Reviews:** 259 #### Who Is the Company Behind ZoomMate? - **Seller:** [Zoom](https://www.g2.com/sellers/zoom-a5000ea1-6d30-4ab4-b591-20723189ac97) - **Company Website:** www.zoom.com - **Year Founded:** 2011 - **HQ Location:** San Jose, CA - **Twitter:** @zoom 1,042,714 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ea58933ffb5ea1e88769e70b1323ea336f3f35193bdf38ad87831cfc56794a9a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2532259%2F&secure%5Burl_type%5D=linkedin_company_website) 13,494 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 41% Small, 34% Medium #### What Do G2 Reviewers Say About ZoomMate? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of ZoomMate, allowing seamless conferences and screen sharing even on low-speed devices. - Users find the **Zoom AI Companion** invaluable for recording minutes and enhancing productivity through seamless integration. - Users find the **ease of use** of Zoom AI Companion invaluable for enhancing productivity and simplifying communication. - Users find the **AI Companion's utility for recording meeting minutes** enhances productivity and simplifies communication significantly. - Users value the **efficiency** of ZoomMate in organizing tasks and creating clear summaries, enhancing productivity during meetings. ##### Cons - Users feel restricted by the **missing features** of ZoomMate, requiring additional tools for essential functions like captions. - Users report **inaccuracies** in meeting summaries, missing nuances and generating generic questions that lack depth and context. - Users find the **limited features** of ZoomMate insufficient as it often requires additional tools for complete functionality. - Users experience **accuracy issues** with Zoom AI Companion, noting missed words and irrelevant content in summaries and questions. - Users experience **Zoom issues** in low-coverage areas and face audio difficulties due to recent UI changes. #### What Are Recent G2 Reviews of ZoomMate? **["Zoom AI Companion Boosts Productivity with Smart Meeting Summaries & Action Items"](https://www.g2.com/survey_responses/zoommate-review-12924533)** **Rating:** 5.0/5.0 stars _— Verified User in Education Management_ [Read full review](https://www.g2.com/survey_responses/zoommate-review-12924533) **["Meeting Summaries and Catch-Up Make It Easy to Stay Focused"](https://www.g2.com/survey_responses/zoommate-review-12933710)** **Rating:** 5.0/5.0 stars _— Verified User in Civic & Social Organization_ [Read full review](https://www.g2.com/survey_responses/zoommate-review-12933710) - ‹ Prev‹ Prev - 1 - [2](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=2#product-list) - [3](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=3#product-list) - [4](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=4#product-list) - [5](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=5#product-list) - … - [28](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=28#product-list) - [29](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=29#product-list) - [Next ›Next ›](/categories/generative-ai-infrastructure?open_modal_url=%2Fproducts%2Fvelocity-prompt-co-pilot%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fgenerative-ai-infrastructure%26source%3Dcategory&order=g2_score&page=2#product-list) Spotlight Categories [Survey Software](https://www.g2.com/categories/survey) [Enterprise Risk Management (ERM) Software](https://www.g2.com/categories/enterprise-risk-management-erm) [Webinar Platforms](https://www.g2.com/categories/webinar) [Restaurant POS Systems](https://www.g2.com/categories/restaurant-pos) [Demo Automation Software](https://www.g2.com/categories/demo-automation) Similar Categories - [AI App Builder](/categories/ai-app-builder) - [AI AppSec Assistants](/categories/ai-appsec-assistants) - [AI Chatbots](/categories/ai-chatbots) - [AI Code Generation](/categories/ai-code-generation) - [AI Coding Assistants](/categories/ai-coding-assistants) - [AI Content Creation Platforms](/categories/ai-content-creation-platforms) - [AI Image Generators](/categories/ai-image-generators) - [AI SDK](/categories/ai-sdk) - [AI Search & Retrieval Infrastructure Platforms](/categories/ai-search-retrieval-infrastructure-platforms) - [AI Software Testing Tools](/categories/ai-software-testing-tools) - [Large Language Model Operationalization (LLMOps)](/categories/large-language-model-operationalization-llmops) - [Large Language Models (LLMs)](/categories/large-language-models-llms) - [Small Language Models (SLMs)](/categories/small-language-models-slms) - [Synthetic Media](/categories/synthetic-media) [Browse Generative AI Infrastructure Themes](/categories/generative-ai-infrastructure/themes) ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry") BB Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Updated April 9, 2026 Generative AI infrastructure software provides the scalable, secure, and high-performance environment needed to train, deploy, and manage generative models such as large language models (LLMs). These tools address challenges related to model scalability, inference speed, availability, and resource optimization to support production-grade generative AI workloads. ### Core Capabilities of Generative AI Infrastructure Software To qualify for inclusion in the Generative AI Infrastructure category, a product must: - Provide scalable options for model training and inference - Offer a transparent and flexible pricing model for computational resources and API calls - Enable secure data handling through features like data encryption and GDPR compliance - Support easy integration into existing data pipelines and workflows, preferably through APIs or pre-built connectors ### Common Use Cases for Generative AI Infrastructure Software - Training large language models (LLMs) or fine-tuning existing models using scalable compute resources. - Running high-performance inference for chatbots, virtual assistants, content generation tools, and other AI-powered applications. - Deploying generative AI models into production with reliable autoscaling, load balancing, and monitoring capabilities. - Supporting hybrid or on-premises deployments for organizations with strict data residency or security requirements. - Integrating generative AI capabilities into existing data pipelines using APIs, connectors, or SDKs. - Managing compute costs through transparent pricing, resource optimization, and usage-based billing models. - Ensuring secure handling of sensitive data with encryption, access controls, private environments, and compliance features. - Running continuous experimentation, evaluation, and A/B testing for generative model improvements. - Building custom applications, such as summarization engines, code assistants, or generative design tools, on top of pre-trained foundation models. ### How Generative AI Infrastructure Software Differs from Other Tools Generative AI infrastructure software differs from broader cloud computing or machine learning platforms by focusing on the specialized needs of generative models, including optimized training environments, fine-tuning support, and robust security for sensitive data. Unlike other generative AI tools that provide pre-built applications, these solutions deliver the underlying infrastructure developers and engineers require to build custom generative AI systems. ### Insights from G2 on Generative AI Infrastructure Software Based on category trends on G2, strong performance, reliability, and flexible deployment models, noting that access to pre-trained models, fine-tuning capabilities, and real-time monitoring help accelerate development while maintaining operational control. Top Tools at a Glance | Product | Best for | User Review | | --- | --- | --- | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Product Avatar Image")](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)[Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)[4.3/5(744)](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) | Google-native end-to-end agentic AI deployment | "Easy AI Agent Creation" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,362)](https://www.g2.com/products/databricks/reviews) | Unified Lakehouse for end-to-end GenAI pipelines | "Reliable Platform for Building Scalable Data Pipelines" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_dd674051aa4dc7d0dfc8b7737b799e0b/aws-bedrock.jpg "Product Avatar Image")](https://www.g2.com/products/aws-bedrock/reviews)[AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews)[4.3/5(76)](https://www.g2.com/products/aws-bedrock/reviews) | Multi-model GenAI deployment inside AWS ecosystem | "Enterprise-Ready Generative AI with Multiple Foundation Models in One Managed Service" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_9bffa359ebdf62613b74920d787d784b/google-cloud-ai-infrastructure.jpg "Product Avatar Image")](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)[Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)[4.5/5(45)](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) | TPU/GPU-accelerated generative AI model lifecycle | "Excellent toolbox for AI implementation in the cloud" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_325487375e1e9456e856a78e811f5fc1/langchain.png "Product Avatar Image")](https://www.g2.com/products/langchain/reviews)[Langchain](https://www.g2.com/products/langchain/reviews)[4.5/5(87)](https://www.g2.com/products/langchain/reviews) | Modular LLM orchestration for RAG and agentic workflows | "LangChain Speeds Excellent Framework for RAG and AI Agent" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-ai.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-watsonx-ai/reviews)[IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews)[4.4/5(152)](https://www.g2.com/products/ibm-watsonx-ai/reviews) | Governed end-to-end generative AI lifecycle | "Comprehensive One-Stop Platform for Building and Testing AI Workflows" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_791b528c516cc1b08151fa6da3988161/dataiku.png "Product Avatar Image")](https://www.g2.com/products/dataiku/reviews)[Dataiku](https://www.g2.com/products/dataiku/reviews)[4.4/5(224)](https://www.g2.com/products/dataiku/reviews) | End-to-end GenAI orchestration with governed MLOps | "Unified, Low-Code Platform That Boosts End-to-End Data & AI Productivity" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_11136e7a626428fc1ccfd41dbe8b7e55/wirestock.jpg "Product Avatar Image")](https://www.g2.com/products/wirestock/reviews)[Wirestock](https://www.g2.com/products/wirestock/reviews)[4.9/5(31)](https://www.g2.com/products/wirestock/reviews) | Ethically-sourced visual AI training data distribution | "Streamlined Workflow, Quality Content and a Truly Supportive Wirestock Team" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_da633d2d1c1fd43e5e3cc46236965f55/elastic-elasticsearch.png "Product Avatar Image")](https://www.g2.com/products/elastic-elasticsearch/reviews)[Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews)[4.5/5(292)](https://www.g2.com/products/elastic-elasticsearch/reviews) | Hybrid vector and semantic AI retrieval | "Simple UI, Seamless Integrations, and Strong Elasticsearch Performance" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d8458aad701c71410d463863675c15b7/nvidia-ai-enterprise.jpeg "Product Avatar Image")](https://www.g2.com/products/nvidia-ai-enterprise/reviews)[Nvidia AI Enterprise](https://www.g2.com/products/nvidia-ai-enterprise/reviews)[4.5/5(14)](https://www.g2.com/products/nvidia-ai-enterprise/reviews) | GPU-accelerated generative AI deployment infrastructure | "Great work! Nvidia AI Enterprise!" | * * * Show More ### Generative AI Infrastructure Topics - [Generative AI Infrastructure software buying insights at a glance](#generative-ai-infrastructure-software-buying-insights-at-a-glance) - [What are the top-reviewed Generative AI Infrastructure software on G2?](#what-are-the-top-reviewed-generative-ai-infrastructure-software-on-g2) - [What I Often See in Generative AI Infrastructure Software](#what-i-often-see-in-generative-ai-infrastructure-software) - [My expert takeaway on Generative AI Infrastructure tools](#my-expert-takeaway-on-generative-ai-infrastructure-tools) - [Generative AI Infrastructure software FAQs](#generative-ai-infrastructure-software-faqs) - [Sources](#sources) [ ### Generative AI Infrastructure Topics Expand/Collapse ](#) - [Generative AI Infrastructure software buying insights at a glance](#generative-ai-infrastructure-software-buying-insights-at-a-glance) - [What are the top-reviewed Generative AI Infrastructure software on G2?](#what-are-the-top-reviewed-generative-ai-infrastructure-software-on-g2) - [What I Often See in Generative AI Infrastructure Software](#what-i-often-see-in-generative-ai-infrastructure-software) - [My expert takeaway on Generative AI Infrastructure tools](#my-expert-takeaway-on-generative-ai-infrastructure-tools) - [Generative AI Infrastructure software FAQs](#generative-ai-infrastructure-software-faqs) - [Sources](#sources) ## Learn More About Generative AI Infrastructure Software ### Generative AI Infrastructure software buying insights at a glance [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure) software provides the technical foundation teams need to build, deploy, and scale generative AI models, especially [large language models (LLMs)](https://www.g2.com/categories/large-language-models-llms). In real production environments. Instead of stitching together separate tools for compute, orchestration, model serving, monitoring, and governance, these platforms centralize the core “infrastructure layer” that makes generative AI reliable at scale As more companies move from experimentation to customer-facing AI features, and as performance and cost pressures increase, Generative AI Infrastructure has become essential for engineering, ML, and platform teams that need predictable inference, controlled spend, and operational guardrails without slowing innovation. Based on G2 reviews, buyers most often adopt generative AI infrastructure to shorten time-to-production and address scaling challenges, including GPU resource management, deployment reliability, latency control, and performance monitoring. The strongest review patterns consistently point to a few recurring wins: faster deployment and iteration cycles, smoother scaling under real traffic, and improved visibility into model health and usage. Many teams also emphasize that the infrastructure tools they keep long-term are the ones that make it easier to enforce controls (cost, governance, reliability) without introducing friction for developers and ML teams. Pricing typically follows a usage-driven model tied to infrastructure intensity, often based on compute consumption (GPU hours), inference volume, model hosting, storage, observability features, and enterprise governance controls. Some vendors bundle platform access into tiered subscriptions and layer usage costs on top, while others shift to contracted enterprise pricing once the workload grows and requirements such as SLAs, compliance, private networking, or dedicated support become mandatory. **Top 5 FAQs from software buyers:** - How do generative AI infrastructure platforms manage inference speed and latency? - What’s the best infrastructure stack for deploying LLMs in production? - How do these tools control and forecast GPU costs at scale? - What monitoring and governance features exist for production model operations? - How do teams choose between managed infrastructure vs. self-hosted frameworks? **G2’s top-rated Generative AI Infrastructure software, based on verified reviews, includes** [**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews) **,** [**Google Cloud AI Infrastructure**](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) **,** [**AWS Bedrock**](https://www.g2.com/products/aws-bedrock/reviews) **,** [**IBM watsonx.ai**](https://www.g2.com/products/ibm-watsonx-ai/reviews) **, and** [**Langchain**](https://www.g2.com/products/langchain/reviews) **.** [**(Source 2)**](https://company.g2.com/news/g2-winter-2026-reports) ### What are the top-reviewed Generative AI Infrastructure software on G2? [**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews) - Reviews: 184 - Satisfaction: 100 - Market Presence: 99 - G2 Score: 99 [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)  - Reviews: 36 - Satisfaction: 71 - Market Presence: 75 - G2 Score: 73 [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) - Reviews: 37 - Satisfaction: 63 - Market Presence: 82 - G2 Score: 72 [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) - Reviews: 19 - Satisfaction: 57 - Market Presence: 73 - G2 Score: 65 [Langchain](https://www.g2.com/products/langchain/reviews) - Reviews: 31 - Satisfaction: 75 - Market Presence: 49 - G2 Score: 62 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in Generative AI Infrastructure Software #### Feedback Pros: What Users Consistently Appreciate - **Unified ml workflow with seamless bigquery and gcs Integration** - “What I like most about Vertex AI is how it unifies the entire machine learning workflow, from data preparation and training to deployment and monitoring. We’ve used it to streamline our ML pipeline, and the integration with BigQuery and Google Cloud Storage makes data handling incredibly efficient. The UI is intuitive, and it’s easy to move between no-code experimentation and full-scale custom model development.”- [Andre P.](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11796689) Vertex AI Review - **All-in-one model training, deployment, and monitoring with automation** - “What I like the most is how easy it is to manage the full machine learning workflow in one place. From training to deployment, everything is well integrated with other Google Cloud tools. The interface is simple, and automation features save a lot of time when handling multiple models.”- [Joao S](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11799016). Vertex AI Review - **Scales easily for GPU/TPU workloads with enterprise reliability** - “Google Cloud gives powerful tools and machines (like TPUs) to build and run AI faster. It is easy to scale up or down and works well with Google’s other products. It keeps data safe and offers good performance worldwide. Good for mission critical & enterprise workloads. Users generally find Google’s docs, guides, forums, etc., to be thorough, which helps especially for smaller or less urgent issues.”- [Neha J.](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews/google-cloud-ai-infrastructure-review-11803619) Google Cloud AI Infrastructure Review #### Cons: Where Many Platforms Fall Short  - **Advanced setup and MLOps concepts can feel overwhelming at first** - “The learning curve can be steep at the beginning, especially for those new to Google Cloud’s way of organizing resources. Pricing transparency could also improve; costs can ramp up quickly if you don’t set up quotas or monitoring. Some features, like advanced pipeline orchestration or custom training jobs, feel a bit overwhelming without strong documentation or prior ML Ops experience.”- [Rodrigo M.](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11702614) Vertex AI Review - **Costs rise quickly without quotas, monitoring, and pricing clarity** - “Bedrock pricing model needs improvement. Few of the models are projected under AWS marketplace pricing. Bedrock is not available in all regions and has to rely on the US region for the same.”- [Saransundar N.](https://www.g2.com/products/aws-bedrock/reviews/aws-bedrock-review-10720033) AWS Bedrock Review - **Requires GenAI knowledge; not ideal for absolute beginners** -  “I'm not sure about it. I think it 'might' be that it is not for absolute beginners. You need to know what Generative AI models are and how they function to be able to get any benefit out of this.”- [Divya K.](https://www.g2.com/products/ibm-watsonx-ai/reviews/ibm-watsonx-ai-review-10303761) IBM watsonx.ai Review ### My expert takeaway on Generative AI Infrastructure tools G2 review patterns point to a category that’s already delivering clear day-to-day value, but maturity in implementation still separates the winners. Across to G2 reviews, the average star rating is 4.54/5, with strong operational sentiment in ease of use (6.35/7) and ease of setup (6.24/7), as well as a high likelihood to recommend (9.08/10) and solid quality of support (6.18/7). Taken together, these metrics suggest most teams can get productive quickly, and many would recommend their infrastructure once it’s embedded into real workflows, strong signals for adoption readiness and trust. High-performing teams treat generative AI infrastructure as a platform layer, not a collection of tools. They define which parts of the AI lifecycle must be standardized (model serving, monitoring, governance, cost controls) and where flexibility must remain (experimentation, fine-tuning pipelines, prompt iteration). Strong implementations operationalize reliability: they monitor latency, throughput, error rates, and drift continuously, and they implement guardrails for cost and access early, before usage explodes. This is where the best generative AI infrastructure truly stands out: it enables teams to scale experiments into production without compromising control over spend, performance, or governance. Where teams struggle most is cost discipline and operational governance. Common failure points include unclear ownership across ML + platform teams, inconsistent deployment patterns, weak usage monitoring, and over-reliance on manual tuning. Teams that win focus on measurable operational signals, including inference latency, GPU utilization efficiency, cost per request, deployment rollback time, monitoring coverage, and incident response speed when models behave unexpectedly. ### Generative AI Infrastructure software FAQs #### What is Generative AI Infrastructure software? Generative AI infrastructure software provides the systems required to build and run generative models in production, covering compute management (often GPUs), model deployment and serving, orchestration, monitoring, and governance. The goal is to make generative AI reliable, scalable, and cost-controlled, so teams can ship AI features without operational instability. #### What is the best Generative AI Infrastructure software? - [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews)– Industry-leading AI platform for building, deploying, and scaling generative models, with top user satisfaction and advanced integration across Google Cloud. - [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) – Robust cloud-based AI infrastructure offering scalable resources and flexible tools for diverse machine learning and generative AI workloads. - [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) – Amazon’s generative AI service with modular deployment across AWS, supporting multiple foundation models and seamless integration with AWS tools. - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) – Enterprise AI platform delivering machine learning and generative AI capabilities, with strong governance and support for regulated environments. - [Langchain](https://www.g2.com/products/langchain/reviews) – Developer framework for building AI-powered applications with language models, enabling rapid prototyping, orchestration, and customization of generative workflows. #### How do teams control GPU costs with generative AI infrastructure? Teams control GPU costs by tracking utilization, limiting inefficient workloads, scheduling batch jobs intelligently, and enforcing usage governance across projects. Strong infrastructure platforms provide visibility into consumption drivers (GPU hours, inference volume, peak usage) and include tools for quotas, rate limits, and cost forecasting to prevent runaway spend. #### What monitoring features matter most for Generative AI Infrastructure? The most valuable monitoring features include latency tracking, throughput, error rates, cost per request, and system-level GPU utilization. Many teams also look for AI-specific monitoring such as drift detection, prompt/response evaluation, version tracking, and the ability to correlate model changes with performance shifts in production. #### How should buyers choose Generative AI Infrastructure tools? Buyers should start with production requirements: which models will be served, expected traffic volume, latency goals, and governance needs. From there, evaluate deployment simplicity, observability depth, scaling reliability, security controls, and cost transparency. The best choice is usually the platform that supports both experimentation and production operations without forcing teams to rebuild workflows later. ### Sources 1. [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) 2. [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Blue Bowen](https://research.g2.com/insights/author/blue-bowen?_gl=1*18mgp2a*_gcl_au*MTIzNzc1MTQ1My4xNzYxODI2NjQzLjU0Mjk4NTYxMC4xNzY3NzY1MDQ5LjE3Njc3NjUwNDk.*_ga*MTQyMjE4MDg5Ni4xNzYxODI2NjQz*_ga_MFZ5NDXZ5F*czE3Njc5MDA1OTgkbzE5MCRnMSR0MTc2NzkwMjIxOSRqNjAkbDAkaDA.) Last Updated On January 12, 2026