# Best Generative AI Infrastructure Software for Medium-Sized Businesses ## 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=10470&focus%5B%5D=1321651&focus%5B%5D=21469&focus%5B%5D=1336236&focus%5B%5D=1326008&focus%5B%5D=7150&focus%5B%5D=15884&focus%5B%5D=16295) Highlighted products: Databricks, AWS Bedrock, Gemini Enterprise Agent Platform, Google Cloud AI Infrastructure, Langchain, Dataiku, Workato, and Altair AI Studio. Underlying data: [Grid® JSON](https://www.g2.com/categories/generative-ai-infrastructure/grids.json?focus%5B%5D=databricks&focus%5B%5D=aws-bedrock&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=google-cloud-ai-infrastructure&focus%5B%5D=langchain&focus%5B%5D=dataiku&focus%5B%5D=workato&focus%5B%5D=rapidminer-studio&segment=mid-market) **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=2026-08-05T16%3A01%3A03Z&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%2Fmid-market%3Fopen_modal_url%3D%252Fproducts%252Frapidminer-studio%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fgenerative-ai-infrastructure%25252Fmid-market%2526source%253Dcategory&secure%5Btoken%5D=eb05e7f69a562e6ee7a72c6bcf69af09ab3bec9ab953da8f4d1b204fe4a63ee4&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) ### [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:** 1,330 #### 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/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) ### [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:** 719 #### 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? **["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) **["Helped us automate routine work and save hours every week"](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13212825)** **Rating:** 4.5/5.0 stars _— Pavan Simhadri D._ [Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13212825) #### 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:** 4.5/5.0 **Total Reviews:** 83 #### 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:** 42% 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? **["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) **["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) ### [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) ### [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:** 747 #### 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) ### [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Altair AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 499 #### Who Is the Company Behind Altair AI Studio? - **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7) - **Company Website:** www.altair.com - **Year Founded:** 1985 - **HQ Location:** Troy, MI - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc40bf531df2ca2bbac9a40324b3bf94e73c14f7ec2b90b9b64c29defbdba7b7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F8323%2F&secure%5Burl_type%5D=linkedin_company_website) 2,774 employees on LinkedIn® - **Ownership:** NASDAQ:ALTR #### Who Uses This Product? - **Who Uses This:** Student, Data Scientist - **Top Industries:** Higher Education, Education Management - **Company Size:** 42% Small, 31% Large #### What Do G2 Reviewers Say About Altair AI Studio? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Altair AI Studio, benefiting from its intuitive drag-and-drop interface. - Users value the **ease of using machine learning without coding** , making it accessible and beneficial for education and organizations. - Users value the **seamless AI integration** of Altair AI Studio, enhancing decision making and efficiency in data analysis. - Users value the **advanced machine learning and analytics** in Altair AI Studio, enhancing decision-making and efficiency. - Users value the **automation features** of Altair AI Studio, streamlining processes and enhancing data analysis efficiency. ##### Cons - Users find the **complexity** of Altair AI Studio challenging, especially with integration and performance issues. - Users often face **slow performance with large datasets** , which can impact their overall experience with Altair AI Studio. - Users report experiencing **slow performance** with Altair AI Studio, especially when working with large or complex datasets. - Users find the **complexity issues** of Altair AI Studio frustrating, especially due to limited support in Japanese. - Users find the **complex usage** of Altair AI Studio challenging due to steep learning curves and limited documentation. #### What Are Recent G2 Reviews of Altair AI Studio? **["Empowers AI Development with Ease"](https://www.g2.com/survey_responses/altair-ai-studio-review-13205589)** **Rating:** 4.0/5.0 stars _— Vivek C._ [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-13205589) **["Great tool for easy data analysis and testing of AI models"](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)** **Rating:** 4.5/5.0 stars _— Sanjeet S._ [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088) #### What Are G2 Users Discussing About Altair AI Studio? - [What is RapidMiner used for?](https://www.g2.com/discussions/what-is-rapidminer-used-for) - 1 comment - [What are the data mining tools?](https://www.g2.com/discussions/what-are-the-data-mining-tools) - [Is RapidMiner open source?](https://www.g2.com/discussions/is-rapidminer-open-source) - [How do you use the Rapid Miner?](https://www.g2.com/discussions/how-do-you-use-the-rapid-miner) - [Is Rapid Miner legit?](https://www.g2.com/discussions/is-rapid-miner-legit) ### [Botpress](https://www.g2.com/products/botpress/reviews) Botpress is the enterprise-grade AI agent platform for customer support. Founded as an AI agent company, Botpress has spent 10 years building the infrastructure that makes enterprise-grade AI support possible, with over 750,000 agents shipped. Botpress offers a complete platform for building, deploying, and managing AI-powered customer support experiences. Its AI-native helpdesk combines ticket management, routing, agent workspaces, analytics, and customer communication channels in a single system, allowing AI agents and human agents to collaborate seamlessly while preserving full conversation context. Organizations can either integrate it with existing platforms such as Zendesk, Intercom, and Freshdesk or use it as a standalone solution. For teams that want to build their own AI agents, Botpress provides Studio, a visual no-code builder with integrations, knowledge base connectivity, and multi-channel deployment. Technical teams can also use the Agent Development Kit (ADK), a code-first framework that provides full control over agent logic, integrations, and behavior. Botpress can handle the tickets that every other tool escalates, due to its deep history is AI agent infrastructure. There is no technical ceiling on what it can do, and developer-level control is available for teams that need to go further. Botpress works on top of any existing helpdesk as an overlay or as a fully standalone helpdesk. In 2025, Botpress raised a $25M Series B led by FRAMEWORK Ventures with participation from HubSpot, Deloitte, and Inovia, to accelerate platform growth and global adoption. The company continues to expand its ecosystem of tools, integrations, and prebuilt workflows, making it easier for businesses to adopt AI agents in real-world use cases. Botpress stands at the center of the shift from static chatbots to autonomous AI systems. By providing the infrastructure for safe, scalable, and production-ready agents, Botpress enables companies to transform how work gets done across customer-facing and internal processes. **Average Rating:** 4.5/5.0 **Total Reviews:** 420 #### Who Is the Company Behind Botpress? - **Seller:** [Botpress](https://www.g2.com/sellers/botpress) - **Company Website:** botpress.com - **Year Founded:** 2017 - **HQ Location:** Quebec, QC - **Twitter:** @getbotpress 2,651 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO, Founder - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 74% Small, 15% Medium #### What Do G2 Reviewers Say About Botpress? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Botpress, enabling quick chatbot creation without the need for coding skills. - Users appreciate the **flexible features** of Botpress, enabling rapid development of sophisticated AI-driven chatbots seamlessly integrated into their platforms. - Users commend the **multiple tool integrations** of Botpress, simplifying chatbot implementation and enhancing adaptability to needs. - Users value the **easy integrations** of Botpress, enhancing adaptability with tools like WhatsApp and Slack seamlessly. - Users praise the **intuitive interface** of Botpress, making chatbot creation easy for everyone, including non-developers. ##### Cons - Users face a **steep learning curve** with Botpress due to lack of guides and complex setup issues. - Users face **limited features** in Botpress, struggling with conversation management and lacking essential functionality for effective support. - Users struggle with **missing essential features** in Botpress, hindering effective conversation management and support capabilities. - Users find the **steep learning curve** of Botpress challenging, particularly for complex customizations beyond basic features. - Users find the **poor documentation** frustrating, leading to confusion and wasted time troubleshooting issues with Botpress. #### What Are Recent G2 Reviews of Botpress? **["Versatile and User-Friendly with Room for AI Improvement"](https://www.g2.com/survey_responses/botpress-review-13096353)** **Rating:** 4.5/5.0 stars _— Cristian C._ [Read full review](https://www.g2.com/survey_responses/botpress-review-13096353) **["Fast, Flexible Chatbot Building with a Powerful Visual Flow Builder"](https://www.g2.com/survey_responses/botpress-review-13121470)** **Rating:** 4.5/5.0 stars _— Verified User in Oil & Energy_ [Read full review](https://www.g2.com/survey_responses/botpress-review-13121470) #### What Are G2 Users Discussing About Botpress? - [How do you use Botpress?](https://www.g2.com/discussions/how-do-you-use-botpress) - 2 comments - [Is Botpress open source?](https://www.g2.com/discussions/is-botpress-open-source) - 3 comments - [Is Botpress good?](https://www.g2.com/discussions/is-botpress-good) - 2 comments, 2 upvotes - [What language does Botpress use?](https://www.g2.com/discussions/what-language-does-botpress-use) - 2 comments Spotlight Categories [Conversation Intelligence Software](https://www.g2.com/categories/conversation-intelligence) [Contact Center Quality Assurance Software](https://www.g2.com/categories/contact-center-quality-assurance) [Contact Center Software](https://www.g2.com/categories/contact-center) [Online Community Management Software](https://www.g2.com/categories/online-community-management) [Security Compliance Software](https://www.g2.com/categories/security-compliance) 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)