Computation and big data
Collect, store, process, and analyze massive datasets on DigitalOcean.Contact sales
CTO & Co-Founder at Rockerbox
"We run a Mesos Cluster with HDFS on top of DigitalOcean. This cluster handles our data pipeline, model generation, databases and end-user applications, enabling us to process over 200k requests per second."View customer story
Use cases for large datasets
Processing data—whether in batch or real-time streams—is scalable and effective on top of DigitalOcean. Using open-source technologies, such as Spark, YARN, or Hive, to consume and process large streams of data, businesses turn to DigitalOcean to quickly scale up to thousands of processing nodes using our API and control panel.
Database and storage
Set up your database and storage platform with our new all-SSD Block Storage solution and high memory Droplets—optimized for running large-scale databases or distributed in-memory caches. Scale HDFS and deploy popular open source databases, such as Cassandra, MongoDB, Redis, or Presto.
Data streams and pipelines
Use popular open source distributed message brokers, like Kafka, for event-driven applications, website activity tracking, or to feed into your Hadoop cluster. These highly scalable and fault-tolerant services leverage DigitalOcean's all-SSD cloud to achieve maximum value through minimizing I/O blocks and network latency.
Monitoring and metrics
Leverage open source tools, like Prometheus, to build an efficient time series database with a modern alerting approach, or deploy Elasticsearch clusters on DigitalOcean to easily search and run analysis against massive datasets in real time.
Data visualization and intelligence
Storing data? Harness powerful data analysis tools and techniques to derive decision-making insights. Interactively visualize, query, and perform analysis against your time series and metric databases using tools like Jupyter, Grafana, and Kibana.
Built for big data
DigitalOcean provides the flexibility your team needs to process and manage big data.
Ensures greater performance for real-time stream processing and big data analytics services.
Set up and scale quickly
Get your environment set up within seconds or scale worker pools as needed using our flexible API.
Easily mix and match resources like block storage volumes and high memory Droplets to support your applications.