* STREAMING DATA - Stream high-frequency data into ATSD via TCP, UDP, and HTTP protocols using text, JSON, nmon, and CSV formats. * RICH SCHEMA - ATSD is not limited to numeric data. You can store configuration files, properties and log messages in the database as well. ATSD supports tags everywhere – you can tag entities, entity groups, metrics, and data itself for correlation in the rule-engine and analytical queries. * BATCH DATA - Upload CSV files directly into the database for bulk import. Use network API to upload nmon archives with wget/curl or telnet. * EXTENSIVE API - ATSD Data API and Meta API implement RESTful API methods allowing you to create, edit, update, and delete meta-data such as device properties and metric settings as well as to insert and query series, properties, and messages. * ROLE BASED ACCESS CONTROL - Role based user access and granular entity permissions enable ATSD deployment in secure enterprise and multi-tenant environments. * NOSQL ARCHITECTURE - ATSD leverages Hadoop file system and HBase non-relational database architecture (NoSQL) for linear scalability and fault-tolerance on commodity hardware.

* Domain Model Flexibility - Shape domain models in a most suitable way, responding to needs and challenges as they come using built-in indexing capabilities * Perfect Audit Trail - Every event and its cause are serialized so that every action and its outcome can be traced * Functionality Mapping - Designating commands and events provides developers with a clear, succinct "one-page view" of available functionality * Strongly Typed Schema - All commands and events are compactly serialized according to their typing information and schema migration capabilities are included * Tooling - The Java implementation comes with JMX introspection and management primitives built-in. Additional application tooling is available, such as a GraphQL adaptor