DigitalOcean

Data Services

Resilient, high performance databases across agentic, vector, relational, multi-modal, analytic, and RAG use cases.

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The data layer built for agents, from the first video to the last trace

Introducing DigitalOcean Agent Data Services (Private Preview)

Agent Data Services is a fully managed data layer for agents. Agents read the context they need from it and write back what they learn. New data is transcribed, indexed, and cataloged as it arrives, with no pipeline infrastructure to run. Query via SQL, vector search, or APIs from an isolated catalog with governance built in.

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Agent Data Services Diagram

Traditional AI Data Stacks

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Static RAG pipelines and batch updates can leave agents acting on outdated state, and custom database sync scripts often do not preserve execution history over time.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.

DigitalOcean Agent Data Services (Private Preview)

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.

Integrated Capabilities. One Unified Platform. Scale without Complexity.

Data That‘s Ready for your App and your AI

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.

Native Integration, No Lock-in

Standard APIs and open-source engines across your databases and AI tools. No proprietary SDKs required, no rip-and-replace.

Efficient Unit Economics

No egress fees between your database and your AI stack. Managed databases start at $15/month, Knowledge Bases at $20/month.

Reduced Operational Complexity

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.

Open memory. Fresh data. Systems that get smarter.

High-performance data infrastructure built to scale with your applications.

Managed Databases

Worry-free database hosting. We offer automated, high-availability setups for MySQL, PostgreSQL, and Redis, removing the need for manual server administration.

Features:#

  • High scalability
    Easily 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 performance
    Managed 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 security
    Databases 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 maintenance
    Launch 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

Knowledge Bases

A fully managed Retrieval-Augmented Generation (RAG) service that automates the entire pipeline—ingestion, chunking, embedding, retrieval and reranking.

Features:#

Diverse sources
Connect to data in S3, Dropbox, and local file system.

  • Chunking Strategies
    Smart 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 Reranking
    Enhance 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.

  • New Embedding Models
    Additional open-source models (e5-large-v2, bge-m3) are now available, offering high-precision English retrieval and versatile support for long-form, multilingual documents.

  • Model Context Protocol (MCP) Support
    Turn your Knowledge Bases into a plug-and-play retrieval tool for any MCP-compatible agent framework.

Vector Databases

Skip the complexity of self-hosting and the high cost of vendor lock-in with Managed Weaviate, pgVector and OpenSearch - open-source compatible solutions that let you focus on building, not operations. Launch production-ready vector infrastructure for your AI apps with 1-click provisioning.

Features:#

  • Simple, predictable pricing
    Managed Weaviate starts at $20/month in the Small plan, $120/month Medium, $1,600/month Large - with built in HA functionality, no per-query or per-vector metering.

  • Unified SQL and Vector Data
    Store and query vector embeddings alongside traditional relational data using pgvector on DigitalOcean Managed PostgreSQL, featuring support for SQL-based similarity search, scale up to 30TB, automated daily backups with point-in-time recovery, and zero-ops cluster management.

  • Unified Search & Real-Time Analytics
    Flexible, open-source search engine powered by DigitalOcean Managed OpenSearch, featuring native one-click log forwarding across DigitalOcean products, real-time analytics dashboards, and automated infrastructure management.

Agent Data Services (Private Preview)

Connect your source, and your data is automatically processed, indexed, and ready for AI use without manual preparation. No infrastructure to provision or maintain, and simple scaling for new data types.

Features:#

  • Universal Ingestion
    Bring in images, audio, video, documents, structured records, and live agent traces into a single platform.

  • Automated Data Flows
    Every incoming asset is automatically structured and made queryable with no infrastructure to provision or maintain.

  • Unified & Governed Catalog.
    Combine structured records and vectors in one catalog with built-in data lineage, reducing the need to operate a separate vector database.

  • SQL & API Access
    Query data using standard SQL or connect directly to your agents via developer-friendly APIs.

  • Enterprise-Grade Governance.
    Control access with workspace-scoped permissions, DigitalOcean team role management, API tokens, and audit logging.

“With DigitalOcean’s Managed Databases, scaling as we grow has been seamless. We can move stuff around between databases without a ton of work.”
Anson HwangTechnical Cofounder, Find AI
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