Directory Cloud InfrastructureCloud Platforms & IaaSDigitalOcean

DigitalOcean

About DigitalOcean

DigitalOcean was founded in 2012 to provide cloud computing for developers. Its first product was the Droplet, a virtual machine. The company provides cloud computing solutions ranging from virtual machines to managed Kubernetes.

Products

Managed Agents: Runs production agents on the same stack as data, inference, and infrastructure.
Learning Services: Consists of Insights, Signals, and Evaluations, which record agent activity, flag shortfalls, and test changes.
Data Services: Provides databases for agentic, vector, relational, multi-modal, analytic, and RAG use cases.
Inference Engine: Offers over 75 models on one endpoint with serverless, dedicated, or batch inference and a routing function.

Used for

Running coding agents in durable, isolated sessions
Accessing tools through a governed endpoint with brokered credentials
Running repeatable evaluations across models and routers
Processing large-scale asynchronous workloads via job-based inference
Deploying AI models from providers with a single click

Who it is for

Those just learning to code.
Builders getting started on their big idea.
Scalers, businesses that are growing rapidly.
Startups and small businesses.

From DigitalOcean's own website, read 2026-10-23. How we build listings.

How to evaluate Cloud Platforms & IaaS

This is how the CIOPages Research Team evaluates this category. It is not an assessment of DigitalOcean. It comes from our Cloud Infrastructure & IaaS buyer guide.

25%

Compute, AI Silicon & Scaling

Instance-family breadth (general, compute, memory, ARM/Graviton-class), serverless and container compute, spot/preemptible pricing, and — increasingly decisive — GPU and custom-accelerator availability (Nvidia plus Trainium/TPU/Maia), reserved AI capacity, and queue priority for scarce silicon

20%

Networking & Data Egress

VPC/VNet design, private connectivity (Direct Connect / ExpressRoute / Interconnect / FastConnect), DDoS and edge protection, and the egress and inter-region transfer model — per-GB rates, free allowances, and how the provider prices moving data out, which is where multicloud and chatty architectures get expensive

20%

Storage & Data Services

Object/block/file storage with durability and lifecycle tiering, managed relational/NoSQL/in-memory databases, data-lake and warehouse integration, cross-region replication and backup/DR — and how deeply these proprietary services would entangle your applications

15%

Security, Compliance & Sovereignty

Identity and key-management depth, zero-trust networking, certification breadth (SOC 2, ISO 27001, HIPAA, FedRAMP, PCI-DSS), and data-residency and sovereign options — EU-operated entities, sovereign regions, national qualifications — plus a clear-eyed view of which jurisdiction’s law can compel access

10%

Management, Operations & FinOps

Console and API quality, Infrastructure-as-Code support (Terraform, Pulumi, CloudFormation/Bicep), observability, and native cost-management, tagging, and commitment-tracking tooling — because operating and governing the spend is a daily cost, not a one-time setup

10%

Ecosystem, Support & Commercial Fit

Partner and marketplace depth, training and talent availability, enterprise support tiers and their real cost, region/availability-zone footprint where you operate, and the commercial terms underneath it all — committed-use discount structure, enterprise agreement leverage, and exit/portability clauses

Other Cloud Platforms & IaaS Vendors

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