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Using our research, best practices and expertise, we help you understand how to optimize your business processes using applications, information and technology. We provide advisory, education, and assessment services to rapidly identify and prioritize areas for improvement and perform vendor selection
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Services for Technology Vendors
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Buyers Guides for AI and Data Platforms
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.
To learn more about our Buyers Guide services for enterprises including purchasing the complete research, advising on your software providers, conducting a workshop or performing an assessment, click here.
To learn more about our Buyers Guide services for software providers including purchasing the complete research and charts or performing an assessment, click here.
View the 2024 Buyers Guides for AI and Data Platforms