Buyers Guides for Cloud AI and Data
Software Provider and Product Assessment
Today, many business operations and analyses involve a combination of data and AI, and enterprises are turning to the cloud to access the resources needed to execute AI strategies. As a result, most leading cloud platform vendors have built a portfolio of product capabilities that include AI and data.
The Cloud-Native AI and Data Platform Buyers Guide includes an evaluation of platforms that provide three sets of capabilities: cloud, AI and data. To be considered for inclusion in this Buyers Guide, a product must offer services addressing key elements of cloud platforms that:
- Support a combination of public, private and hybrid cloud workloads;
- Include a general-purpose data platform, database, database management system, data warehouse, data lake or data lakehouse;
- Include data persistence, data management, data processing and data query functionality;
- Support database administrator, developer, data engineering and data architect functionality, and
- Support the AI-related capabilities of data preparation, AI/ML modeling, AutoML, GenAI, developer and data scientist tooling, MLOps/LLMOps, model deployment, model tuning and optimization.
The Cloud-Native AI and Data Platforms Buyers Guide assesses the following providers: Alibaba Cloud, AWS, Google Cloud, IBM, Microsoft and Oracle.
The overall AI and Data Platform Buyers Guide includes evaluation of platforms that provide both sets of capabilities. To be considered for inclusion in this Buyers Guide, a product must be marketed as a general-purpose data platform, database, database management system, data warehouse, data lake or data lakehouse. The primary use case for the product should be to support worker- and customer-facing operational applications and/or analytics workloads such as business intelligence or data science. The product should provide the following functional areas at a minimum: data persistence, data management, data processing and data query; database administrator functionality; developer functionality; data engineering functionality, and data architect functionality. It must also support the following AI-related capabilities: data preparation, AI/ML modeling, AutoML, GenAI, developer and data scientist tooling, MLOps/LLMOps, model deployment, model tuning and optimization.
The AI and Data Platforms Buyers Guide assesses the following providers: Alibaba Cloud, AWS, Cloudera, Databricks, Google Cloud, IBM, Microsoft, Oracle, Salesforce, SAP, Snowflake and Teradata.
To view the executive summaries of the research, please select the report below.
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