# Best Generative AI Infrastructure Software for Small Business

## 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 04, 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=1336236&focus%5B%5D=1326008&focus%5B%5D=1453733&focus%5B%5D=1322865&focus%5B%5D=1308795&focus%5B%5D=10470&focus%5B%5D=1321651)

Highlighted products: Gemini Enterprise Agent Platform, Google Cloud AI Infrastructure, Langchain, Wirestock, Wiro, IBM watsonx.ai, Databricks, and AWS Bedrock.

Underlying data: [Grid® JSON](https://www.g2.com/categories/generative-ai-infrastructure/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=google-cloud-ai-infrastructure&focus%5B%5D=langchain&focus%5B%5D=wirestock&focus%5B%5D=wiro&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=databricks&focus%5B%5D=aws-bedrock&segment=small-business)

**Sponsored**

### Gemini Enterprise Agent Platform

Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

[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=2026-08-04T22%3A41%3A54Z&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=21469&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%2Fsmall-business%3Fopen_modal_url%3D%252Fproducts%252Flangchain%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fgenerative-ai-infrastructure%25252Fsmall-business%2526source%253Dcategory&secure%5Btoken%5D=35fc1a2998ea543488fc551291de1f2308129f79350188510ab32f574e152e5b&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fproducts%2Fgemini-enterprise-agent-platform%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-geap%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)

Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

**Average Rating:** 4.3/5.0

**Total Reviews:** 717

#### Who Is the Company Behind Gemini Enterprise Agent Platform?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Scientist
- **Top Industries:** Computer Software, Information Technology and 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

- Users value the **ease of use** of Gemini Enterprise Agent Platform, enhancing productivity and streamlining workflows effectively.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity and streamlining machine learning workflows effectively.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity through reduced manual work in projects.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity by streamlining various tasks and processes.
- Users value the **integrated platform** of Gemini, enhancing productivity by combining various functionalities in a unified system.

##### Cons

- Users find the **pricing ambiguous** with unexpected costs, making budget management a challenge on the Gemini platform.
- Users find the platform's **complexity** ,particularly in navigation and advanced features, challenging, especially for beginners.
- The **learning curve is steep** for new users, especially with complex features and pricing transparency issues.
- Users find the **complexity issues** of the Gemini Enterprise Agent Platform lead to high costs and a steep learning curve.
- Users find the **difficult learning** curve of Gemini Enterprise Agent Platform challenging, especially for newcomers to Google Cloud.

#### What Are Recent G2 Reviews of Gemini Enterprise Agent Platform?

**["Fast, Low-Code Conversational and Search App Development with Vertex AI Agent Builder."](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13191521)**

**Rating:** 4.5/5.0 stars

_— Anil B._

[Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13191521)

**["Easy AI Agent Creation"](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13193916)**

**Rating:** 4.5/5.0 stars

_— Belhaje A._

[Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13193916)

#### What Are G2 Users Discussing About Gemini Enterprise Agent Platform?

- [What is Google Cloud AI Platform used for?](https://www.g2.com/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/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/discussions/how-do-i-use-google-cloud-platform-for-machine-learning)
- [Is Google Cloud AI free?](https://www.g2.com/discussions/is-google-cloud-ai-free)
- [What is Google AI platform?](https://www.g2.com/discussions/what-is-google-ai-platform) - 3 comments, 3 upvotes

### [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)

Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models. Key Features and Functionality: - Flexible and Scalable Hardware: Provides a wide range of AI-optimized compute options, including GPUs, TPUs, and CPUs, to accommodate various AI workloads from high-performance training to low-cost inference. - Managed Infrastructure Services: Utilizes Vertex AI and GKE to streamline the setup of machine learning environments, automate orchestration, manage large clusters, and deploy low-latency applications efficiently. - Support for Popular AI Frameworks: Offers compatibility with leading AI frameworks such as TensorFlow, PyTorch, and MXNet, allowing developers to work within their preferred environments without constraints. - Global Scalability: Built upon Google Cloud's Jupiter data center network, it delivers the global scale and performance required for high-intensity AI workloads, supporting services that cater to billions of users. Primary Value and Problem Solved: Google Cloud AI Infrastructure addresses the challenges of developing and deploying AI models by providing a robust, scalable, and cost-effective platform. It simplifies the orchestration of large-scale AI workloads, enhances development productivity, and ensures optimal performance and cost efficiency. By offering a flexible and open platform with support for various AI frameworks and hardware accelerators, it empowers organizations to innovate and scale their AI solutions effectively.

**Average Rating:** 4.5/5.0

**Total Reviews:** 45

#### Who Is the Company Behind Google Cloud AI Infrastructure?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Small, 38% Medium

#### What Do G2 Reviewers Say About Google Cloud AI Infrastructure?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **unmatched scalability** of Google Cloud AI Infrastructure, facilitating efficient training and deployment of AI models.
- Users appreciate the **high-performance computing power** of Google Cloud AI Infrastructure for efficient AI model training and deployment.
- Users appreciate the **ease of use** of Google Cloud AI Infrastructure, streamlining workflows and enhancing productivity seamlessly.
- Users value the **seamless integration** with other Google Cloud tools, enhancing their AI model management experience.
- Users appreciate the **high-performance TPUs and seamless integration** of Google Cloud AI Infrastructure, enhancing their AI development experience.

##### Cons

- Users find Google Cloud AI Infrastructure to be **expensive** , especially for large projects due to complex pricing and management.
- Users find the **steep learning curve** challenging, as it requires significant expertise to use Google Cloud AI Infrastructure effectively.
- Users struggle with the **complexity of pricing and setup** , making it challenging for new users to scale effectively.
- Users often find the **poor documentation** of Google Cloud AI Infrastructure challenging, especially for non-engineering teams.
- Users note the **technical expertise required** to navigate Google Cloud AI Infrastructure, making it challenging for newcomers.

#### What Are Recent G2 Reviews of Google Cloud AI Infrastructure?

**["Powerful AI Tools and Scalability with Excellent Documentation on Google Cloud"](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11803619)**

**Rating:** 4.0/5.0 stars

_— Neha J._

[Read full review](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11803619)

**["Excellent toolbox for AI implementation in the cloud"](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11775940)**

**Rating:** 4.5/5.0 stars

_— Luis M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11775940)

### [Langchain](https://www.g2.com/products/langchain/reviews)

LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). By providing a suite of tools and abstractions, LangChain enables developers to build context-aware, reasoning applications such as chatbots, question-answering systems, and content generators. Its modular architecture allows for seamless integration with various LLMs, including those from OpenAI, Anthropic, and Cohere, facilitating the creation of sophisticated AI-driven solutions. Key Features and Functionality: - Modular Components: LangChain offers isolated modules for model input/output, prompt templates, and retrieval mechanisms, allowing developers to customize and extend functionalities as needed. - Agent Framework: The framework supports the creation of agents that can make decisions and perform tasks based on user inputs, enhancing the interactivity and utility of applications. - Memory Management: LangChain provides both short-term and long-term memory capabilities, enabling applications to maintain context over extended interactions. - Extensive Integrations: With over 1,000 integrations, LangChain allows developers to connect with various models, tools, and databases without the need to rewrite application code, ensuring flexibility and future-proofing. - Durable Runtime: Built on LangGraph’s durable runtime, LangChain ensures agents have built-in persistence, rewind capabilities, checkpointing, and support for human-in-the-loop interactions. Primary Value and Problem Solving: LangChain addresses the challenges developers face when integrating LLMs into applications by offering a structured and efficient approach to building AI-driven solutions. It streamlines the development process, reduces the complexity associated with managing interactions between various components, and provides the flexibility to adapt to evolving AI technologies. By leveraging LangChain, developers can rapidly deploy reliable and scalable AI applications that are capable of understanding and responding to complex user inputs, thereby enhancing user experiences and operational efficiency.

**Average Rating:** 4.6/5.0

**Total Reviews:** 79

#### Who Is the Company Behind Langchain?

- **Seller:** [Langchain](https://www.g2.com/sellers/langchain)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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)  
291 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 43% Small, 30% Medium

#### What Do G2 Reviewers Say About Langchain?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Langchain's **ease of use** invaluable for quickly building complex AI applications with various integrations.
- Users appreciate the **easy integrations** of Langchain, enabling seamless connections between LLMs and various APIs.
- Users appreciate the **user-friendly features** of Langchain, making powerful capabilities accessible to those with basic AI knowledge.
- Users admire the **seamless integrations** of LangChain, which enhance efficiency in developing AI applications and workflows.
- Users appreciate the **customization capabilities** of LangChain, enabling tailored AI solutions while simplifying app development.

##### Cons

- Users find **complexity issues** with Langchain, citing heavy abstractions and a steep learning curve that hinder productivity.
- Users find Langchain's **steep learning curve** overwhelming, requiring deep knowledge of its components and frequent API changes.
- Users find the **poor documentation** of LangChain confusing and outdated, complicating their development process.
- Users struggle with **software instability** due to frequent breaking changes that complicate long-term project maintenance.
- Users find **error handling challenging** in Langchain, complicating debugging and increasing frustration with nested components.

#### What Are Recent G2 Reviews of Langchain?

**["LangChain Speeds Excellent Framework for RAG and AI Agent"](https://www.g2.com/survey_responses/langchain-review-13183408)**

**Rating:** 4.0/5.0 stars

_— Akash R._

[Read full review](https://www.g2.com/survey_responses/langchain-review-13183408)

**["Modular, Flexible Framework That Speeds Up AI App Development"](https://www.g2.com/survey_responses/langchain-review-13197811)**

**Rating:** 4.5/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/survey_responses/langchain-review-13197811)

### [Wirestock](https://www.g2.com/products/wirestock/reviews)

AI models are only as good as the data they are trained on. That’s why Wirestock works with a global community of contributors to produce vetted multimodal data including image, video, design, music and more. Wirestock delivers both ready-to-use datasets and custom content built around specific training goals. We work directly with AI teams to define needs and produce what models require to perform advanced creative tasks. Creators understand what their work is utilized for, and how they will be compensated for it. AI partners know their data is legitimate, high-quality, and ethically sourced. This shared transparency builds trust on both sides. No matter where you are in your creative path, your work belongs here. We connect talent across photography, video and filmmaking, graphic and motion design, 3D modeling, and more disciplines to work on creative projects that build next generation technology. Creators are compensated for every creative contribution as it is licensed to power industry-leading AI models. Valuing creative talent and respecting the ethics behind each piece of content is core to our values.

**Average Rating:** 4.9/5.0

**Total Reviews:** 30

#### Who Is the Company Behind Wirestock?

- **Seller:** [Wirestock](https://www.g2.com/sellers/wirestock)
- **Year Founded:** 2019
- **HQ Location:** San Jose, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Photography
- **Company Size:** 68% Small, 16% Medium

#### What Do G2 Reviewers Say About Wirestock?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **quick and friendly customer support** from Wirestock, enhancing their overall experience as creators.
- Users find Wirestock offers **exceptional ease of use** , simplifying workflows and enhancing creativity for content creators.
- Users praise Wirestock for its **exceptional efficiency** , streamlining processes and enhancing creativity without the manual burden.
- Users value the **effective collaboration** and support from Wirestock, enhancing their creative and professional growth.
- Users commend the **easy setup** of Wirestock, finding it straightforward and a major convenience to start working.

##### Cons

- Users find the **limited hours** of communication frustrating, especially when managers are slow to respond during weekdays.
- Users find the **monthly upload limit restrictive** , hindering their ability to upload more content efficiently.
- Users feel that the **poor UI** detracts from the overall experience, suggesting a need for a more intuitive design.
- Users express frustration over the **lack of constant workload** with the Wirestock Data Platform affecting their productivity.
- Users find the **slow performance** frustrating, as it hampers their ability to upload and process content efficiently.

#### What Are Recent G2 Reviews of Wirestock?

**["Streamlined Workflow, Quality Content and a Truly Supportive Wirestock Team"](https://www.g2.com/survey_responses/wirestock-review-12634326)**

**Rating:** 5.0/5.0 stars

_— Argyro T._

[Read full review](https://www.g2.com/survey_responses/wirestock-review-12634326)

**["Wirestock Makes Multi-Marketplace Uploading Fast and Effortless"](https://www.g2.com/survey_responses/wirestock-review-13129194)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/wirestock-review-13129194)

### [Wiro](https://www.g2.com/de/products/wiro/reviews)

Wiro ist eine einheitliche KI-API und generative KI-Infrastrukturplattform, die darauf ausgelegt ist, Organisationen dabei zu helfen, KI-gestützte Anwendungen durch eine einzige Integration zu erstellen, bereitzustellen und zu skalieren. Die Plattform ermöglicht es Entwicklern, über eine standardisierte API auf große Sprachmodelle (LLMs), KI-Bildgenerierungsmodelle, Text-zu-Video- und Bild-zu-Video-Modelle, Sprach-zu-Text-Systeme und Echtzeit-Konversations-KI zuzugreifen. Wiro eignet sich besonders für Teams, die KI-Videogenerator-Apps, KI-Bildgenerierungstools, KI-Chatbots, Sprachassistentenplattformen und andere generative KI-SaaS-Produkte entwickeln. Anstatt mehrere Anbieter separat zu integrieren, können Entwickler Wiro als zentralisierte KI-Integrationsschicht nutzen, die GPU-Infrastruktur, Modell-Hosting und Anbietermanagement abstrahiert. Über die einfache API-Aggregation hinaus unterstützt Wiro die Modell-Operationalisierung, einschließlich Feinabstimmungs-Workflows (wie LoRA und DreamBooth), wiederverwendbare KI-Pipelines und RAG-Architekturen (retrieval-augmented generation). Teams können benutzerdefinierte Modelle trainieren, feinabgestimmte Versionen bereitstellen und Multi-Modell-Workflows innerhalb derselben Anwendungspipeline orchestrieren. Dies macht Wiro geeignet für die Bereitstellung von Produktions-KI, Multi-Modell-Orchestrierung und skalierbare KI-Integration in realen Anwendungen. Die Plattform hostet und optimiert Open-Source-Grundlagenmodelle auf dedizierter GPU-Infrastruktur und bietet gleichzeitig einen einheitlichen Zugang zu kommerziellen KI-Anbietern wie OpenAI und Google. Ihre zentralisierte Architektur unterstützt intelligentes Routing, Arbeitslastplanung, Überwachung und das Management von API-Verkehr mit hohem Durchsatz. Wiro arbeitet mit einem transparenten, nutzungsbasierten Preismodell, bei dem Kunden pro API-Anfrage basierend auf Rechen- und Token-Nutzung abgerechnet werden. Dieser Ansatz ermöglicht es Startups, SaaS-Unternehmen und Enterprise-Teams, KI-Workloads ohne langfristige Infrastrukturverpflichtungen zu skalieren. Durch die Kombination von einheitlichen KI-APIs, Modell-Feinabstimmung, Workflow-Orchestrierung und Multi-Provider-Integration fungiert Wiro als KI-Infrastrukturschicht und OpenAI-Alternative-API für Teams, die KI-Video-Apps, KI-Bildgenerierungsplattformen, Konversations-KI-Systeme und produktionsreife generative KI-Lösungen entwickeln.

**Average Rating:** 4.9/5.0

**Total Reviews:** 28

#### Who Is the Company Behind Wiro?

- **Verkäufer:** [Wiro.ai](https://www.g2.com/de/sellers/wiro-ai)
- **Unternehmenswebsite:** www.wiro.ai
- **Gründungsjahr:** 2023
- **Hauptsitz:** San Francisco, CA
- **Twitter:** @wiroai  
1,534 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/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 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing und Werbung
- **Company Size:** 97% Small, 3% Medium

#### What Are Recent G2 Reviews of Wiro?

**["Der einfachste Weg, KI-Medienmodelle zu zentralisieren"](https://www.g2.com/de/survey_responses/wiro-review-12557513)**

**Rating:** 5.0/5.0 stars

_— Altan K._

[Read full review](https://www.g2.com/de/survey_responses/wiro-review-12557513)

**["Flexible APIs, mit denen Sie alles bauen können"](https://www.g2.com/de/survey_responses/wiro-review-12703223)**

**Rating:** 5.0/5.0 stars

_— Metehan K._

[Read full review](https://www.g2.com/de/survey_responses/wiro-review-12703223)

### [IBM watsonx.ai](https://www.g2.com/de/products/ibm-watsonx-ai/reviews)

Watsonx.ai ist Teil der IBM watsonx Plattform, die neue generative KI-Fähigkeiten zusammenbringt, angetrieben von Foundation-Modellen und traditionellem maschinellem Lernen, in einem leistungsstarken Studio, das den gesamten KI-Lebenszyklus abdeckt. Mit watsonx.ai können Sie generative KI, Foundation-Modelle und maschinelle Lernfähigkeiten einfach erstellen, trainieren, validieren, optimieren und bereitstellen und KI-Anwendungen in einem Bruchteil der Zeit mit einem Bruchteil der Daten entwickeln.

**Average Rating:** 4.4/5.0

**Total Reviews:** 139

#### Who Is the Company Behind IBM watsonx.ai?

- **Verkäufer:** [IBM](https://www.g2.com/de/sellers/ibm)
- **Unternehmenswebsite:** www.ibm.com
- **Gründungsjahr:** 1911
- **Hauptsitz:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/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 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Berater
- **Top Industries:** Informationstechnologie und Dienstleistungen, Computersoftware
- **Company Size:** 41% Small, 32% Large

#### What Do G2 Reviewers Say About IBM watsonx.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer schätzen die **Benutzerfreundlichkeit** von IBM watsonx.ai, was eine schnellere KI-Integration und effektives Management erleichtert.
- Benutzer schätzen die **Modellvielfalt** von IBM watsonx.ai, die eine maßgeschneiderte Schulung bestehender Modelle für eine verbesserte Leistung ermöglicht.
- Benutzer schätzen die **nahtlose Integration von KI in Unternehmensqualität** in IBM watsonx.ai, die die Entscheidungsfindung und die Effizienz von Arbeitsabläufen verbessert.
- Benutzer schätzen das **unternehmensgerechte integrierte Studio** von IBM watsonx.ai für nahtloses KI-Training und zuverlässige Einblicke.
- Benutzer schätzen die **unternehmensgerechte KI-Integration** von IBM watsonx.ai, die die Entscheidungsfindung und Geschäftsabläufe effizient verbessert.

##### Cons

- Benutzer finden die **schwierige Lernkurve** von IBM watsonx.ai abschreckend, was es für Neulinge und kleinere Teams weniger zugänglich macht.
- Benutzer finden die **komplexe Einrichtung** von IBM watsonx.ai herausfordernd, was es weniger geeignet für kleine Teams und Anfänger macht.
- Benutzer finden die **steile Lernkurve** von IBM watsonx.ai herausfordernd, was es für nicht-technische Teams weniger zugänglich macht.
- Benutzer finden das Produkt **teuer** und herausfordernd für kleine Teams, da sie hohe Kosten und komplexe Einrichtungsanforderungen anführen.
- Benutzer finden die **komplexe Einrichtung** von IBM watsonx.ai herausfordernd, insbesondere für Anfänger und kleine Teams.

#### What Are Recent G2 Reviews of IBM watsonx.ai?

**["Umfassende All-in-One-Plattform zum Erstellen und Testen von KI-Workflows"](https://www.g2.com/de/survey_responses/ibm-watsonx-ai-review-13196706)**

**Rating:** 4.0/5.0 stars

_— Manish D._

[Read full review](https://www.g2.com/de/survey_responses/ibm-watsonx-ai-review-13196706)

**["Einheitliches, gesteuertes KI-Studio mit starker Leistung und nahtlosen IBM-Integrationen"](https://www.g2.com/de/survey_responses/ibm-watsonx-ai-review-13184421)**

**Rating:** 4.0/5.0 stars

_— Manan S._

[Read full review](https://www.g2.com/de/survey_responses/ibm-watsonx-ai-review-13184421)

### [Databricks](https://www.g2.com/de/products/databricks/reviews)

Databricks ist das Unternehmen für Daten und KI. Mehr als 20.000 Organisationen weltweit – darunter adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever und 70 % der Fortune 500 – verlassen sich auf die Databricks Data + AI Plattform, um Daten- und KI-Anwendungen, Analysen und Agenten zu entwickeln und zu skalieren. Mit Hauptsitz in San Francisco und über 30 Büros weltweit bietet Databricks eine einheitliche Plattform, die Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse und Unity Catalog umfasst. Gegründet im Jahr 2013 von den ursprünglichen Entwicklern von Apache Spark™, Delta Lake, MLflow und Unity Catalog, basiert Databricks auf einer offenen Lakehouse-Architektur, die Daten, Analysen und KI zusammenführt. Die Plattform wird von Dateningenieuren, Datenwissenschaftlern, Analysten, Entwicklern, Machine-Learning-Teams, KI-Teams und Geschäftsanwendern genutzt, um über den gesamten Daten- und KI-Lebenszyklus hinweg zusammenzuarbeiten. Wichtige Fähigkeiten von Databricks umfassen: - Datenengineering: Erstellen, automatisieren und verwalten Sie zuverlässige Batch-, Streaming- und Echtzeit-Datenpipelines. - Analytik und Business Intelligence: Führen Sie SQL-Analysen durch, erstellen Sie Dashboards und ermöglichen Sie Geschäftsteams, Daten zu erkunden. - Datenverwaltung: Entdecken, sichern und verwalten Sie Daten- und KI-Ressourcen über Teams, Clouds und Workloads hinweg. - Maschinelles Lernen und KI: Entwickeln Sie Modelle, bauen Sie generative KI-Anwendungen und erstellen Sie produktionsreife KI-Agenten. - Datenanwendungen: Erstellen und implementieren Sie datengesteuerte Anwendungen unter Verwendung von verwalteten Unternehmensdaten. Verfügbar über AWS, Azure und Google Cloud, hilft Databricks Organisationen, über Clouds hinweg zu arbeiten, Datensilos zu reduzieren und die Zusammenarbeit über Teams und Tools hinweg zu vereinfachen. Kunden nutzen Databricks für Anwendungsfälle wie Kundenpersonalisierung, Betrugserkennung, vorausschauende Wartung, Echtzeitanalysen, Cybersicherheit, Gesundheitsforschung, Finanzrisikomanagement, Lieferkettenoptimierung und KI-gestützte Entscheidungsfindung. Databricks wird in verschiedenen Branchen eingesetzt, darunter Finanzdienstleistungen, Gesundheitswesen und Biowissenschaften, Einzelhandel, Fertigung, Energie und der öffentliche Sektor. Organisationen nutzen die Plattform, um die Dateninfrastruktur zu modernisieren, die KI-Einführung zu beschleunigen und Unternehmensdaten in Geschäftswert umzuwandeln.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,329

#### Who Is the Company Behind Databricks?

- **Verkäufer:** [Databricks Inc.](https://www.g2.com/de/sellers/databricks-inc)
- **Unternehmenswebsite:** databricks.com
- **Gründungsjahr:** 2013
- **Hauptsitz:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/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 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Dateningenieur, Datenanalyst
- **Top Industries:** Informationstechnologie und Dienstleistungen, Finanzdienstleistungen
- **Company Size:** 47% Large, 38% Medium

#### What Do G2 Reviewers Say About Databricks?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer loben die **Benutzerfreundlichkeit** und die **umfassenden Funktionen** von Databricks für Data Warehousing und ML-Anwendungen.
- Benutzer loben die **Benutzerfreundlichkeit** von Databricks, was ihre Erfahrung mit intuitiven Schnittstellen und zuverlässigen Diensten verbessert.
- Benutzer schätzen die **nahtlosen Integrationen** von Databricks mit AWS und anderen Tools, die den täglichen Betrieb und die Effizienz verbessern.
- Benutzer schätzen die **nahtlose Zusammenarbeit** , die von Databricks angeboten wird, und verbessern die Teamarbeit bei Datenprojekten mit Echtzeiteinblicken.
- Benutzer loben die **integrierten Analysefunktionen** von Databricks, die die kollaborative Datenverarbeitung und die Visualisierung von Erkenntnissen verbessern.

##### Cons

- Benutzer bemerken anfangs eine **steile Lernkurve** , wobei verwirrende Berechtigungen und Rechenmodi die Benutzerfreundlichkeit beeinträchtigen.
- Benutzer bemerken, dass die **Kosten ziemlich hoch sein können** , um Databricks effektiv zu nutzen, insbesondere bei großen Datenprojekten.
- Benutzer finden eine **steile Lernkurve** bei Databricks, was besonders für Neulinge in Big-Data-Tools herausfordernd ist.
- Benutzer finden die **Komplexität** von Databricks herausfordernd, insbesondere für kleinere Teams und die anfänglichen Einrichtungsprozesse.
- Benutzer stehen anfangs vor **komplexen Einrichtungs** herausforderungen, obwohl der Support im Laufe der Zeit hilft, das Erlebnis zu vereinfachen.

#### What Are Recent G2 Reviews of Databricks?

**["Zuverlässige Plattform zum Erstellen skalierbarer Datenpipelines"](https://www.g2.com/de/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/de/survey_responses/databricks-review-13198355)

**["Databricks vereinfacht ETL und Analysen mit skalierbaren Notebooks"](https://www.g2.com/de/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/de/survey_responses/databricks-review-13181721)

#### What Are G2 Users Discussing About Databricks?

- [What does Databricks software do?](https://www.g2.com/de/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [Was ist die einheitliche Analyseplattform von Databricks?](https://www.g2.com/de/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [Was ist Lakehouse in Databricks?](https://www.g2.com/de/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [Was sind die Merkmale von Databricks?](https://www.g2.com/de/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews)

Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a unified API to access a diverse selection of high-performing FMs, allowing users to experiment, customize, and deploy AI solutions without managing infrastructure. With Amazon Bedrock, businesses can create personalized experiences, automate workflows, and derive actionable insights, all while maintaining security, privacy, and compliance standards. Key Features and Functionality: - Model Choice: Access a wide range of FMs from top AI providers, enabling selection of the most suitable model for specific use cases. - Agent Development: Utilize Amazon Bedrock AgentCore to build, deploy, and operate AI agents securely at scale, facilitating complex task automation. - Customization: Tailor models with proprietary data using tools like Knowledge Bases, Data Automation, prompt engineering, and fine-tuning to enhance relevance and accuracy. - Safety and Guardrails: Implement safeguards with Bedrock Guardrails to filter harmful content and ensure responsible AI usage, supporting compliance with industry standards. - Cost Optimization: Optimize performance and expenses through features like Model Distillation and Intelligent Prompt Routing, balancing cost, latency, and accuracy. Primary Value and Solutions Provided: Amazon Bedrock empowers organizations to rapidly develop and deploy generative AI applications without the complexities of infrastructure management. By offering a diverse selection of foundation models and comprehensive customization tools, it enables businesses to create AI solutions tailored to their unique needs. The platform's robust security measures and compliance support ensure that applications are built responsibly, addressing concerns around data privacy and ethical AI usage. Ultimately, Amazon Bedrock facilitates innovation, enhances operational efficiency, and drives real business impact through scalable and secure AI integration.

**Average Rating:** 4.3/5.0

**Total Reviews:** 76

#### Who Is the Company Behind AWS Bedrock?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 32% Medium

#### What Do G2 Reviewers Say About AWS Bedrock?

_AI-generated summary from verified user reviews_

##### Pros

- Users find AWS Bedrock's **ease of use** invaluable, especially with its unified API and serverless architecture.
- Users value the **variety of models** in AWS Bedrock, enabling tailored solutions for diverse use cases.
- Users appreciate the **easy integrations** of AWS Bedrock, making it simple to switch models and streamline workflows.
- Users value the **ease of use and security** of AWS Bedrock, enhancing inspiration and productivity in generative AI applications.
- Users value the **unified API** of AWS Bedrock, enabling seamless model switching and easy integrations within AWS.

##### Cons

- Users find AWS Bedrock **expensive** , especially for large-scale operations and niche applications requiring extensive customization.
- Users find the **complexity issues** of AWS Bedrock challenging, especially for newcomers and niche use cases.
- Users face **model issues** with AWS Bedrock, including high costs and limited availability of popular models.
- Users find the **steep learning curve** of AWS Bedrock challenging, particularly for those new to AWS services.
- Users express frustration over the **limited access** to models in AWS Bedrock, impacting customization and availability.

#### What Are Recent G2 Reviews of AWS Bedrock?

**["Enterprise-Ready Generative AI with Multiple Foundation Models in One Managed Service"](https://www.g2.com/survey_responses/aws-bedrock-review-13160296)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/aws-bedrock-review-13160296)

**["Flexible, Governed Access to Multiple Foundation Models in AWS Bedrock"](https://www.g2.com/survey_responses/aws-bedrock-review-12992839)**

**Rating:** 4.5/5.0 stars

_— Athira G._

[Read full review](https://www.g2.com/survey_responses/aws-bedrock-review-12992839)

### [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

### [Botpress](https://www.g2.com/pt/products/botpress/reviews)

Botpress é a plataforma de agentes de IA de nível empresarial para suporte ao cliente. Fundada como uma empresa de agentes de IA, a Botpress passou 10 anos construindo a infraestrutura que torna possível o suporte de IA de nível empresarial, com mais de 750.000 agentes enviados. A Botpress oferece uma plataforma completa para construir, implantar e gerenciar experiências de suporte ao cliente com tecnologia de IA. Sua central de ajuda nativa de IA combina gerenciamento de tickets, roteamento, espaços de trabalho para agentes, análises e canais de comunicação com clientes em um único sistema, permitindo que agentes de IA e agentes humanos colaborem perfeitamente enquanto preservam todo o contexto da conversa. As organizações podem integrá-la com plataformas existentes como Zendesk, Intercom e Freshdesk ou usá-la como uma solução independente. Para equipes que desejam construir seus próprios agentes de IA, a Botpress fornece o Studio, um construtor visual sem código com integrações, conectividade com base de conhecimento e implantação multicanal. Equipes técnicas também podem usar o Kit de Desenvolvimento de Agentes (ADK), uma estrutura orientada a código que oferece controle total sobre a lógica, integrações e comportamento dos agentes. A Botpress pode lidar com os tickets que todas as outras ferramentas escalam, devido à sua longa história em infraestrutura de agentes de IA. Não há limite técnico para o que ela pode fazer, e o controle em nível de desenvolvedor está disponível para equipes que precisam ir além. A Botpress funciona sobre qualquer central de ajuda existente como uma sobreposição ou como uma central de ajuda totalmente independente. Em 2025, a Botpress levantou uma Série B de $25 milhões liderada pela FRAMEWORK Ventures com participação da HubSpot, Deloitte e Inovia, para acelerar o crescimento da plataforma e a adoção global. A empresa continua a expandir seu ecossistema de ferramentas, integrações e fluxos de trabalho pré-construídos, facilitando para as empresas a adoção de agentes de IA em casos de uso do mundo real. A Botpress está no centro da mudança de chatbots estáticos para sistemas de IA autônomos. Ao fornecer a infraestrutura para agentes seguros, escaláveis e prontos para produção, a Botpress permite que as empresas transformem a forma como o trabalho é realizado em processos voltados para o cliente e internos.

**Average Rating:** 4.5/5.0

**Total Reviews:** 420

#### Who Is the Company Behind Botpress?

- **Vendedor:** [Botpress](https://www.g2.com/pt/sellers/botpress)
- **Website da Empresa:** botpress.com
- **Ano de Fundação:** 2017
- **Localização da Sede:** Quebec, QC
- **Twitter:** @getbotpress  
2,651 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fd0f42dfd28093fae74f06db23fc73f416bbad3bac109e1336598a33d1f414fe&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F27121841&secure%5Burl_type%5D=linkedin_company_website)  
104 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, Fundador
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 74% Small, 15% Medium

#### What Do G2 Reviewers Say About Botpress?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso** do Botpress, permitindo a criação rápida de chatbots sem a necessidade de habilidades de codificação.
- Os usuários apreciam os **recursos flexíveis** do Botpress, permitindo o desenvolvimento rápido de chatbots sofisticados impulsionados por IA, integrados perfeitamente em suas plataformas.
- Os usuários elogiam as **múltiplas integrações de ferramentas** do Botpress, simplificando a implementação de chatbots e aumentando a adaptabilidade às necessidades.
- Os usuários valorizam as **integrações fáceis** do Botpress, melhorando a adaptabilidade com ferramentas como WhatsApp e Slack de forma fluida.
- Os usuários elogiam a **interface intuitiva** do Botpress, tornando a criação de chatbots fácil para todos, incluindo não desenvolvedores.

##### Cons

- Os usuários enfrentam uma **curva de aprendizado acentuada** com o Botpress devido à falta de guias e problemas complexos de configuração.
- Os usuários enfrentam **recursos limitados** no Botpress, lutando com o gerenciamento de conversas e carecendo de funcionalidades essenciais para um suporte eficaz.
- Os usuários enfrentam dificuldades com **falta de recursos essenciais** no Botpress, prejudicando a gestão eficaz de conversas e as capacidades de suporte.
- Os usuários acham a **curva de aprendizado íngreme** do Botpress desafiadora, especialmente para personalizações complexas além dos recursos básicos.
- Os usuários acham a **documentação ruim** frustrante, levando a confusão e perda de tempo ao solucionar problemas com o Botpress.

#### What Are Recent G2 Reviews of Botpress?

**["Construção Rápida e Flexível de Chatbots com um Poderoso Construtor de Fluxo Visual"](https://www.g2.com/pt/survey_responses/botpress-review-13121470)**

**Rating:** 4.5/5.0 stars

_— Usuário Verificado em Petróleo e Energia_

[Read full review](https://www.g2.com/pt/survey_responses/botpress-review-13121470)

**["Versátil e fácil de usar com espaço para melhorias em IA"](https://www.g2.com/pt/survey_responses/botpress-review-13096353)**

**Rating:** 4.5/5.0 stars

_— Cristian C._

[Read full review](https://www.g2.com/pt/survey_responses/botpress-review-13096353)

#### What Are G2 Users Discussing About Botpress?

- [How do you use Botpress?](https://www.g2.com/pt/discussions/how-do-you-use-botpress) - 2 comments
- [O Botpress é de código aberto?](https://www.g2.com/pt/discussions/is-botpress-open-source) - 3 comments
- [O Botpress é bom?](https://www.g2.com/pt/discussions/is-botpress-good) - 2 comments, 2 upvotes
- [Qual linguagem o Botpress usa?](https://www.g2.com/pt/discussions/what-language-does-botpress-use) - 2 comments

### [Elasticsearch](https://www.g2.com/de/products/elastic-elasticsearch/reviews)

Bauen Sie Sucherlebnisse der nächsten Generation für Ihre Kunden und Mitarbeiter, die die Technologieziele Ihrer Organisation unterstützen. Elasticsearch bietet Entwicklern ein flexibles Toolkit, um KI-gestützte Suchanwendungen mit einer erweiterbaren Plattform zu erstellen, die auch sofort einsatzbereite Funktionen bietet. Sparen Sie Entwicklungszyklen und bringen Sie verbesserte Suchfunktionen schneller auf den Markt. Elasticsearch ist die weltweit beliebteste Suchmaschine, unterstützt von einer robusten Entwicklergemeinschaft. Die Plattform von Elastic ermöglicht es Ihnen, jede Datenquelle zu erfassen, moderne Sucherlebnisse zu schaffen, die sich mit großen Sprachmodellen und generativer KI integrieren, und Analysen für datengesteuerte Entscheidungsfindung und Einblicke zu visualisieren. Unsere kontinuierlichen Investitionen in maschinelles Lernen helfen Entwicklern, mit schnellen, hochrelevanten Suchergebnissen im großen Maßstab der Zeit voraus zu sein. -- Flexible Plattform und Toolkit, um leistungsstarke Suchfunktionen unabhängig von Entwicklungsressourcen und Technologiezielen zu liefern. Unsere offene Plattform bietet konsistente Funktionalität für Cloud-, Hybrid- oder On-Premise-Bereitstellungen mit außergewöhnlicher Leistung, Zuverlässigkeit und Skalierbarkeit. -- Eingebaute Suchanalysen und Visualisierungstools geben Teams Zugriff auf Suchdaten und Echtzeit-Dashboards zur Optimierung von Suchergebnissen und -operationen. Auch nicht-technische Teams können Sucherlebnisse anpassen – kein Entwicklungsteam erforderlich. -- Nächste Stufe der Suchrelevanz durch textuelle Suche, Vektorsuche, hybride und semantische Suche sowie Flexibilität von maschinellen Lernmodellen. Leistungsstarke Funktionen wie eine Vektordatenbank bieten die Grundlage für das Erstellen, Speichern und Suchen von Einbettungen, um den Kontext Ihrer unstrukturierten Daten zu erfassen. Nutzen Sie maschinelles Lernen für Inferenz bei der Datenerfassung und bringen Sie Ihr eigenes Modell – offen oder proprietär – um die besten, branchenspezifischen Ergebnisse zu liefern.

**Average Rating:** 4.5/5.0

**Total Reviews:** 288

#### Who Is the Company Behind Elasticsearch?

- **Verkäufer:** [Elastic](https://www.g2.com/de/sellers/elastic)
- **Unternehmenswebsite:** www.elastic.co
- **Gründungsjahr:** 2012
- **Hauptsitz:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/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 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software-Ingenieur, Senior Software Engineer
- **Top Industries:** Computersoftware, Informationstechnologie und Dienstleistungen
- **Company Size:** 38% Medium, 33% Large

#### What Do G2 Reviewers Say About Elasticsearch?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer finden Elasticsearch äußerst **einfach zu verwenden** , was ihre Integrations- und Beobachtungsfähigkeiten mühelos verbessert.
- Benutzer loben Elasticsearch für seine **beeindruckende Geschwindigkeit** , die große Datensätze effizient verarbeitet und eine reibungslose Skalierbarkeit gewährleistet.
- Benutzer schätzen **schnelle Suchfunktionen** in Elasticsearch, die schnellen Zugriff auf große Datensätze und optimierte Abläufe ermöglichen.
- Benutzer finden die **blitzschnelle Leistung** und die umfassende Dokumentation von Elasticsearch äußerst vorteilhaft für ihre Suchanforderungen.
- Benutzer bewundern die **leistungsstarken Such- und Aggregationsfunktionen** von Elasticsearch und schätzen seine Leistung und Flexibilität im großen Maßstab.

##### Cons

- Benutzer finden Elasticsearch **teuer zu skalieren** , insbesondere bei hohem Datenverbrauch und kostspieligen Lizenzen für wertvolle Funktionen.
- Benutzer finden, dass **Elasticsearch erhebliche Fachkenntnisse erfordert** , um eine optimale Leistung zu erzielen, was die Einrichtung und Verwaltung kompliziert macht.
- Benutzer finden die **Lernschwierigkeit** von Elasticsearch herausfordernd, insbesondere bei komplexen Setups und der Abfrageverwaltung für Anfänger.
- Benutzer empfinden, dass Elasticsearch **Verbesserungen in der Benutzerfreundlichkeit** und der Leistungsoptimierung benötigt, was ihre Erfahrung mit Suchvorgängen erschwert.
- Benutzer finden die **schwierige Lernkurve** von Elasticsearch herausfordernd, was erheblichen Aufwand und Zeit erfordert, um sie zu meistern.

#### What Are Recent G2 Reviews of Elasticsearch?

**["Einfache Benutzeroberfläche, nahtlose Integrationen und starke Elasticsearch-Leistung"](https://www.g2.com/de/survey_responses/elasticsearch-review-12835645)**

**Rating:** 4.5/5.0 stars

_— Antonia F._

[Read full review](https://www.g2.com/de/survey_responses/elasticsearch-review-12835645)

**["Beeindruckende Geschwindigkeit und leistungsstarke nahezu Echtzeitsuche mit Elasticsearch"](https://www.g2.com/de/survey_responses/elasticsearch-review-12579166)**

**Rating:** 5.0/5.0 stars

_— Ertuğrul D._

[Read full review](https://www.g2.com/de/survey_responses/elasticsearch-review-12579166)

### [Saturn Cloud](https://www.g2.com/de/products/saturn-cloud-saturn-cloud/reviews)

Saturn Cloud ist eine tragbare KI-Plattform, die sicher in jedem Cloud-Konto installiert wird. Greifen Sie auf die besten GPUs zu, ohne Kubernetes-Konfiguration oder DevOps, ermöglichen Sie AI/ML-Teams, ML-Modelle mit jedem Stack zu entwickeln, bereitzustellen und zu verwalten, und geben Sie der IT-Sicherheit die Kontrollen, die für Ihr Unternehmen funktionieren. Zu den Kunden gehören NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestlé und mehr. Fangen Sie kostenlos an unter: saturncloud.io

**Average Rating:** 4.8/5.0

**Total Reviews:** 321

#### Who Is the Company Behind Saturn Cloud?

- **Verkäufer:** [Saturn Cloud](https://www.g2.com/de/sellers/saturn-cloud)
- **Gründungsjahr:** 2018
- **Hauptsitz:** New York, US
- **Twitter:** @saturn\_cloud  
3,279 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/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 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Datenwissenschaftler, Student
- **Top Industries:** Computersoftware, Höhere Bildung
- **Company Size:** 82% Small, 12% Medium

#### What Do G2 Reviewers Say About Saturn Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer schätzen die **Benutzerfreundlichkeit** von Saturn Cloud, was die Einrichtung und Funktionalität einfach und angenehm macht.
- Benutzer schätzen die **leistungsstarke GPU-Leistung** von Saturn Cloud, die Geschwindigkeit und Effizienz in Data-Science-Projekten verbessert.
- Benutzer loben die **leistungsstarken GPU-Computing-Ressourcen** von Saturn Cloud, die die Effizienz ihrer Projekte und die Benutzerfreundlichkeit verbessern.
- Benutzer schätzen die **einfache Einrichtung** von Saturn Cloud, die einen schnellen und bequemen Zugriff auf GPU-Ressourcen ermöglicht.
- Benutzer loben die **einfachen Integrationen** in Saturn Cloud, die den Komfort für maschinelles Lernen und Big-Data-Projekte erhöhen.

##### Cons

- Benutzer finden die Preisgestaltung von Saturn Cloud **teuer** und schlagen vor, erschwinglichere Pläne und Optionen für Studenten oder Absolventen anzubieten.
- Benutzer erleben **Komplexitätsprobleme** mit der Preisgestaltung und Dokumentation, die ihre anfängliche Einrichtung und Nutzung behindern können.
- Benutzer finden die **schlechte Dokumentation** frustrierend, insbesondere für fortgeschrittene Setups und Anfänger, die Anleitung benötigen.
- Benutzer finden die **schwierige Einrichtung** von Saturn Cloud als ein erhebliches Hindernis, bevor sie die Vorteile genießen können.
- Benutzer empfinden die **unzureichenden Lernressourcen** als hinderlich für ihre Erfahrung, insbesondere für Anfänger, die mit fortgeschrittenen Setups zu kämpfen haben.

#### What Are Recent G2 Reviews of Saturn Cloud?

**["Saturn Cloud steigert die Produktivität in der Datenwissenschaft mit skalierbarem Jupyter, Dask und GPUs"](https://www.g2.com/de/survey_responses/saturn-cloud-review-13125535)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/de/survey_responses/saturn-cloud-review-13125535)

**["Professionell und benutzerfreundlich"](https://www.g2.com/de/survey_responses/saturn-cloud-review-8279916)**

**Rating:** 4.5/5.0 stars

_— zahra s._

[Read full review](https://www.g2.com/de/survey_responses/saturn-cloud-review-8279916)

### [Lyzr.ai](https://www.g2.com/pt/products/lyzr-lyzr-ai/reviews)

Lyzr é uma plataforma de agentes de IA empresarial que ajuda as organizações a projetar, implantar e operar agentes autônomos e semi-autônomos em funções de negócios como atendimento ao cliente, vendas, recursos humanos, finanças e TI. A plataforma reúne uma estrutura de agentes, um estúdio de baixo código e um plano de controle central, para que as equipes possam mover iniciativas de IA do piloto para a produção completa com consistência e supervisão. As organizações a utilizam para construir agentes específicos para tarefas de assistência segura ao conhecimento, busca aumentada por recuperação e automação de fluxo de trabalho em várias etapas, melhorando como o trabalho é realizado enquanto mantém os dados protegidos. Lyzr é construído para empresas que desejam adotar IA sem substituir os sistemas que já utilizam. Sua arquitetura agnóstica de modelo permite que as equipes trabalhem com seus modelos de linguagem preferidos e alternem entre eles conforme as necessidades mudam, sem necessidade de re-arquitetura. A mesma flexibilidade se estende à implantação: os agentes podem operar em uma nuvem privada, em uma configuração de locatário único ou totalmente no local, para que as organizações mantenham o controle de seus dados e operações. Governança, observabilidade e auditabilidade fazem parte da própria plataforma, o que torna o Lyzr adequado para equipes sensíveis a conformidade e confiabilidade em nível de produção. No núcleo da plataforma está uma estrutura de agentes emparelhada com o Architect e o Agent Studio, que juntos suportam fluxos de trabalho de agente único e multi-agente através de código, baixo código ou sem código. Um registro central oferece às equipes monitoramento, controle de acesso, versionamento e logs de execução rastreáveis para cada agente, independentemente de quem o construiu ou em qual estrutura. Conectores, SDKs e APIs conectam agentes a ferramentas existentes como CRMs, ERPs, sistemas ITSM, data lakes e plataformas de mensagens, para que os agentes operem dentro dos processos atuais em vez de substituí-los. O resultado é um caminho mais rápido do protótipo à produção, apoiado por componentes reutilizáveis e integrações prontas. A governança embutida mantém as equipes regulamentadas prontas para auditoria, enquanto simulação, fluxos de trabalho de avaliação e controles de versão e reversão reduzem o risco operacional antes e depois que os agentes entram em operação. Como o esforço de integração permanece baixo e os modelos e pipelines continuam intercambiáveis, as organizações podem orquestrar os sistemas que já possuem e evoluir ao longo do tempo sem ficarem presas a um único fornecedor. Os casos de uso típicos incluem assistentes de conhecimento seguros e busca aumentada por recuperação para funcionários e clientes, agentes de suporte ao cliente que lidam com classificação, redação e resolução, e agentes de vendas que apoiam pesquisa de contas, sequenciamento de contatos e agendamento de reuniões. Lyzr também impulsiona a automação de back-office em RH, finanças e gestão de serviços de TI, tornando-se uma escolha prática para processos multi-etapas entre equipes que precisam de coordenação entre várias ferramentas e fontes de dados.

**Average Rating:** 4.4/5.0

**Total Reviews:** 46

#### Who Is the Company Behind Lyzr.ai?

- **Vendedor:** [Lyzr](https://www.g2.com/pt/sellers/lyzr)
- **Website da Empresa:** www.lyzr.ai
- **Ano de Fundação:** 2023
- **Localização da Sede:** New York, USA
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2eec0c92006d853c670a10e2809e90ae7fa7c0cc2a9669cfcf9dc62c9692065f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flyzr-platform&secure%5Burl_type%5D=linkedin_company_website)  
172 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 68% Small, 17% Medium

#### What Do G2 Reviewers Say About Lyzr.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso** do Lyzr.ai, apreciando sua interface limpa e configuração direta para agentes de IA.
- Os usuários acham que a **facilidade de configuração** do Lyzr.ai é eficiente e amigável para iniciantes, economizando tempo e aumentando a produtividade.
- Os usuários elogiam a **facilidade de implantação** do Lyzr.ai, achando a plataforma amigável e eficiente para construir agentes de IA.
- Os usuários apreciam a **eficiência** do Lyzr.ai, destacando sua rápida configuração e processos de suporte ao cliente simplificados.
- Os usuários apreciam o **rápido desenvolvimento** da Lyzr.ai de agentes de IA prontos para produção com opções intuitivas de no-code/low-code.

##### Cons

- Os usuários acham a **documentação deficiente** do Lyzr.ai frustrante, complicando o processo de aprendizado e limitando o uso eficaz.
- Os usuários acham a **falta de integração** com sistemas legados desafiadora, complicando a configuração e aumentando os esforços de manutenção.
- Os usuários descobrem que o Lyzr.ai pode apresentar **problemas de complexidade** , especialmente com sua necessidade de dados estruturados e configuração.
- Os usuários desejam **opções de personalização limitadas** no Lyzr.ai, desejando mais flexibilidade e configurações avançadas para um melhor controle.
- Os usuários sentem que a **falta de modelos prontos** limita sua eficiência e destaca a necessidade de mais recursos.

#### What Are Recent G2 Reviews of Lyzr.ai?

**["Ótima experiência de aprendizado construindo com Lyzr.ai e Architect"](https://www.g2.com/pt/survey_responses/lyzr-ai-review-13185993)**

**Rating:** 5.0/5.0 stars

_— Mohammed M._

[Read full review](https://www.g2.com/pt/survey_responses/lyzr-ai-review-13185993)

**["Uma Plataforma Prática para Prototipagem Rápida de Agentes de IA"](https://www.g2.com/pt/survey_responses/lyzr-ai-review-13180470)**

**Rating:** 5.0/5.0 stars

_— Ansari M._

[Read full review](https://www.g2.com/pt/survey_responses/lyzr-ai-review-13180470)

### [Clarifai](https://www.g2.com/pt/products/clarifai/reviews)

Clarifai é um líder em orquestração e desenvolvimento de IA, ajudando organizações, equipes e desenvolvedores a construir, implantar, orquestrar e operacionalizar IA em escala. A plataforma de orquestração de fluxo de trabalho de IA de ponta da Clarifai aproveita as tecnologias modernas de IA de hoje, como Modelos de Linguagem de Grande Escala (LLMs), Modelos de Visão de Grande Escala (LVMs) e Geração Aumentada por Recuperação (RAG), rotulagem de dados, inferência e mais, e está disponível em ambientes de nuvem, locais ou híbridos. Fundada em 2013, a Clarifai foi usada para construir mais de 1,5 milhão de modelos de IA com mais de 400.000 usuários em 170 países. Saiba mais em www.clarifai.com.

**Average Rating:** 4.3/5.0

**Total Reviews:** 66

#### Who Is the Company Behind Clarifai?

- **Vendedor:** [Clarifai](https://www.g2.com/pt/sellers/clarifai)
- **Ano de Fundação:** 2013
- **Localização da Sede:** Wilmington, Delaware
- **Twitter:** @clarifai  
10,922 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8e96cd967f3d17ebfc636080f07d5b87c9155366576feb1d18188684d774aa32&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10064814%2F&secure%5Burl_type%5D=linkedin_company_website)  
51 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 61% Small, 28% Medium

#### What Do G2 Reviewers Say About Clarifai?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso e os recursos poderosos** do Clarifai, aprimorando seus projetos de imagem e texto com IA.
- Os usuários valorizam a **diversidade de modelos** na Clarifai, permitindo soluções personalizadas para vários cenários de aplicação de forma eficiente.
- Os usuários destacam a **precisão e eficiência da tecnologia de IA da Clarifai** , tornando-a uma ótima escolha para projetos diversos.
- Os usuários acham a **interface intuitiva** do Clarifai fácil de navegar, melhorando sua experiência com modelos pré-treinados poderosos.
- Os usuários elogiam a Clarifai por sua **fácil integração de IA** , permitindo uma marcação rápida e precisa para vários cenários de aplicação.

##### Cons

- Os usuários acham o **custo proibitivamente caro** para pequenos projetos, dificultando o acesso para desenvolvedores individuais e organizações sem fins lucrativos.
- Os usuários acham a **complexidade** do Clarifai desafiadora, especialmente em relação à documentação e ao entendimento de recursos avançados.
- Os usuários acham a **curva de aprendizado íngreme** para novos usuários, tornando a navegação inicial e o entendimento desafiadores.
- Os usuários expressam preocupação com a **falta de recursos** , especialmente para pequenos desenvolvedores, impactando a acessibilidade e a usabilidade.
- Os usuários acham a **documentação deficiente** do Clarifai frustrante, muitas vezes necessitando de ajuda externa para orientação e clareza.

#### What Are Recent G2 Reviews of Clarifai?

**["Interface Limpa, Plataforma de IA Poderosa com Desempenho Confiável e Suporte Responsivo"](https://www.g2.com/pt/survey_responses/clarifai-review-13072233)**

**Rating:** 5.0/5.0 stars

_— Ross M._

[Read full review](https://www.g2.com/pt/survey_responses/clarifai-review-13072233)

**["Plataforma de IA Poderosa para Visão Computacional e Fluxos de Trabalho Multimodais"](https://www.g2.com/pt/survey_responses/clarifai-review-13188111)**

**Rating:** 4.0/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/pt/survey_responses/clarifai-review-13188111)

### [Carbon](https://www.g2.com/pt/products/carbonai/reviews)

O Carbon é a maneira mais rápida de conectar dados externos a LLMs, independentemente da fonte. Nosso mecanismo de recuperação universal permite que Modelos de Linguagem de Grande Escala (LLMs) busquem conteúdo relevante em formatos de arquivos multimídia, sites e mais de 15 fontes de dados, incluindo Dropbox, Google Drive, OneDrive, GMail e Notion. Somos projetados especificamente para casos de uso multi-inquilino, e nossos kits de desenvolvimento de software (SDKs) simplificam os controles de acesso, a sincronização de arquivos e a autenticação de terceiros, exigindo esforço mínimo dos desenvolvedores. O Carbon permite que as empresas integrem facilmente e com segurança capacidades de busca semântica de ponta e de perguntas e respostas em seus aplicativos, bases de conhecimento, sites, chatbots, agentes ou centrais de suporte a um preço acessível.

**Average Rating:** 4.9/5.0

**Total Reviews:** 32

#### Who Is the Company Behind Carbon?

- **Vendedor:** [Carbon](https://www.g2.com/pt/sellers/carbon)
- **Localização da Sede:** Seattle, US
- **Twitter:** @carbon\_\_ai  
791 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a575fdfb23389cb51353973ebfa9fe51334832e44a33edae6fd39321c98f666a&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fusecarbon&secure%5Burl_type%5D=linkedin_company_website)  
3 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 97% Small, 3% Medium

#### What Do G2 Reviewers Say About Carbon?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários elogiam a **facilidade de uso** do Carbon, apreciando sua interface simples e capacidades de integração perfeita.
- Os usuários valorizam as **integrações extensivas** no Carbon, permitindo conexões perfeitas e fluxos de trabalho eficientes entre aplicativos.
- Os usuários apreciam o **suporte ao cliente responsivo** da Carbon, o que melhora a facilidade de uso e a adaptação suave à plataforma.
- Os usuários valorizam a **simplicidade da análise de dados** no Carbon, facilitando conexões eficientes entre dados não estruturados e aplicações de IA.
- Os usuários elogiam a **facilidade de implementação** no Carbon, destacando a integração suave e o excelente suporte para um uso sem interrupções.

##### Cons

- Os usuários acham o produto **caro** com dados limitados e desempenho lento afetando seu valor geral.
- Os usuários enfrentam **problemas de complexidade** com o Carbon, exigindo assistência de engenheiros para a configuração e experimentando atrasos na integração e no manuseio de documentos.
- Os usuários acham que a **configuração difícil** do Carbon requer suporte de engenharia e uma curva de aprendizado para uso eficaz.
- Os usuários sentem que as **opções limitadas de personalização** no Carbon restringem relatórios avançados e o acompanhamento de métricas específicas.
- Os usuários acham a **documentação ruim** frustrante, especialmente no que diz respeito à criação de API e ao tratamento eficaz de casos extremos.

#### What Are Recent G2 Reviews of Carbon?

**["Plataforma Robusta e Amigável que Simplifica a Gestão de Dados e Fluxos de Trabalho"](https://www.g2.com/pt/survey_responses/carbon-review-11821616)**

**Rating:** 5.0/5.0 stars

_— andré P._

[Read full review](https://www.g2.com/pt/survey_responses/carbon-review-11821616)

**["Pipeline RAG sólida, economiza muito tempo de desenvolvimento"](https://www.g2.com/pt/survey_responses/carbon-review-11849020)**

**Rating:** 4.5/5.0 stars

_— Filipe S._

[Read full review](https://www.g2.com/pt/survey_responses/carbon-review-11849020)

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