Quadrantby GlyphGenerative AI models
Who builds the foundation and large language models
Markets
AI
Models, ML platforms, agents, coding tools and the rest of the AI stack
AI coding assistants and agents
AI that writes, reviews and modernizes code
AI agents and assistants
Platforms for building and running AI agents and enterprise assistants
AI application development
Cloud services and platforms for building AI applications
Data science and ML platforms
Platforms to build, train, deploy and run machine learning models
AI infrastructure
GPU clouds and systems for training and serving models
AI governance
Oversight, risk and compliance for AI systems
Vector databases
Databases for embeddings and similarity search
Conversational AI
Chat and voice AI platforms
Intelligent document processing
AI that reads and extracts from documents
AI and enterprise search
Search and retrieval across company knowledge
Decision intelligence
Platforms that model, automate and monitor decisions
Data
Databases, warehouses, integration, quality, governance and analytics
Semantic layer and metrics stores
One definition of every metric, shared by BI and AI
Data observability
Monitoring the health of data and pipelines
Databases
Cloud and operational databases, multimodel and translytical
Graph databases
Databases and platforms for connected data
Data warehouses and lakehouses
Where analytics data lives: warehouses, lakes and lakehouses
Streaming data
Event streaming and real-time processing
Data integration and pipelines
Moving and transforming data between systems
Data quality
Profiling, cleansing and monitoring data quality
Master data management
One trusted record for customers, products and more
Data catalogs and metadata
Finding, understanding and tracing data
Data governance
Policies, access and stewardship for data
Data fabric
Connected data management across sources
Analytics and BI
Dashboards, reporting and augmented analytics
Data security
Finding, classifying and protecting sensitive data
Backup and data protection
Backup, recovery and SaaS data protection
Data storage
Enterprise, object and file storage for data
Platforms
The cloud, observability, integration and developer platforms data and AI run on
Cloud platforms
The hyperscalers and sovereign clouds
Observability
Monitoring apps and infrastructure: APM, logs, traces
Containers and Kubernetes
Running containers and cloud-native applications
API management
Publishing, securing and running APIs
Integration platforms (iPaaS)
Connecting applications and data in the cloud
DevOps platforms
Building, testing and shipping software
Cloud cost management
FinOps: seeing and cutting cloud spend