Data Services | DigitalOcean

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Build, deploy, and scale cloud compute resources
Containers and Images
Safely store and manage containers and backups
Fully managed resources running popular database engines
Management and Dev Tools
Control infrastructure and gather insights
Secure and control traffic to apps
Help protect your account and resources with these security features
Store and access any amount of data reliably in the cloud
Security and Networking
Web and App Platforms
Resilient, high performance databases across agentic, vector, relational, multi-modal, analytic, and RAG use cases.
Stale Context and Fragile Memory
Static RAG pipelines and batch updates can leave agents acting on outdated state, and custom database sync scripts often do not preserve execution history over time.
High Pipeline and Maintenance Overhead
Developers build, stitch together, and maintain custom extractors, vector stores, and glue code just to ingest new data types.
Siloed Multimodal and Behavioral Data
Unstructured files, audio, video, document archives, and user telemetry sit in separate silos with custom architecture required per file format.
Unified Read and Write Memory Layer
Agents continuously read live context and write back what they learn. Execution loops, logs, and state are captured in near real time.
No Infrastructure Overhead
Runs as a fully managed platform where data lands, gets enriched automatically, and is queryable once processing completes, with no infrastructure to provision or maintain.
Unified Multimodal Catalog
Transcribes, describes, classifies, and embeds multimodal content automatically into one logically tenant-isolated catalog queryable via SQL, vector search, or APIs.
Queryable the moment it lands, on open-source engines — PostgreSQL, MySQL, Valkey, Weaviate— with fully portable infrastructure. No rewrites to move data in or out. With our new Advanced Edition, databases can extend the boundaries of scale, failover and manageability.
Standard APIs and open-source engines across your databases and AI tools. No proprietary SDKs required, no rip-and-replace.
No egress fees between your database and your AI stack. Managed databases start at $15/month, Knowledge Bases at $20/month.
We provide a single control panel for your entire AI stack -from raw data storage to operational and vector databases and agent deployment so you don’t have to manage multiple vendor relationships, separate billing, and complex authentication layers.
High-performance data infrastructure built to scale with your applications.
Worry-free database hosting. We offer automated, high-availability setups for MySQL, PostgreSQL, and Redis, removing the need for manual server administration.
High scalabilityEasily scale your database to match business growth. Add CPUs, RAM, and nodes to handle heavier workloads and boost performance. Plus, with automated storage scaling, you’ll never run out of space—no manual intervention required.
Fast, reliable performanceManaged Databases run on enterprise-class hardware for fast performance. Run your clusters on Droplets with shared vCPUs or choose Droplets with 100% dedicated vCPUs for mission critical workloads.
End-to-end securityDatabases run in your account’s private network, and only whitelisted requests via the public internet can reach your database. Data is also encrypted in transit and at rest.
Streamlined setup and maintenanceLaunch a database cluster with just a few clicks and then access it via our simplified UI or API. Easily migrate your database from another location with minimal downtime.
Now Generally Available: Managed Databases Advanced Edition
A fully managed Retrieval-Augmented Generation (RAG) service that automates the entire pipeline—ingestion, chunking, embedding, retrieval and reranking.
Diverse sourcesConnect to data in S3, Dropbox, and local file system.
Chunking StrategiesSmart defaults out of the box, deep control when you need it. Pick semantic for topical shifts, hierarchical for precise retrieval with broader grounding, section-based for structured docs, or fixed-length for sheer speed - then evaluate, adjust, and re-index until retrieval lands.
Hybrid Search & Advanced RerankingEnhance retrieval accuracy with sophisticated search techniques that combine keyword and semantic results. Enable bge-reranker-v2-m3 to re-score results with cross-encoder precision. Add a reranking step to your retrieval pipeline. Higher precision on the top results, $0.010 per 1M tokens.