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Next Gen
Data Platform

Deephaven is a complete data system that empowers your team to build analyses, models, algos, reports, and dashboards very quickly
Platform Architecture
Build Alpha, Not Infrastructure

Data is about action, which means automation. Deephaven customers use the platform’s battle-tested APIs to serve source and derivative data real-time to dependent apps across the organization. Algos built into Deephaven can communicate with OMS infrastructure, minimizing the path from research to alpha.

Complete System

One solution for all your streaming data needs

Data Management System

Systems for ingesting, storing and disseminating data focus on throughput and efficiency.

At its core, Deephaven is a column-oriented database that relies on authoritative sources to produce ordered, immutable data in an append-only fashion.

It is built to play with a broad range of data storage choices including on-prem clusters, NFS and/or cloud storage solutions. The data adapter is designed to maximize throughput, employing smart caching and chunk sizes that are friendly to storage/transport layers.

An abstraction layer presents a unified view of the columnar data, relieving users of concerns about the how and where of the storage. This allows users and code to seamlessly mesh local and remote data, as well as both in-memory and on-disk payloads.

Query & Compute Platform

The platform delivers machinery, operations, and scalability relevant to today’s capital markets.

Deephaven supports analysis using a variety of languages and commodity hardware. The platform enables scalable, parallelized workloads. Code goes to data, not vice versa. Deephaven’s native table operations make anyone a player.

The system is designed for high-performance time series analysis. Interact with data directly. Combine query operations with user-defined functions in the same process. Scale across workers in a horizontal map or pipeline.

Enjoy consistency by connecting Deephaven to enterprise applications.

Powerful UI & Suite of Integrated Tooling

Users can use Jupyter, R-Studio, and classic IDEs, but Deephaven also makes available powerful, proprietary capabilities for working with and consuming data and results.

Working with data and building apps must be easy and quick. Deephaven offers intuitive and well-featured console, notebook, and editor UIs. Its dashboards are legendary. It’s simple to spin up views and visualizations and share them with teammates.

Queries persist – meaning they’re running all the time – updating as data hits source nodes.

Deephaven integrates with Jupyter, R-Studio, IDEs, Git, and more, and then augments them with a few interfaces of its own. User experiences empower productivity.

Product Comparison

Fast. Easy.

Deephaven Enterprise is a collection of enterprise-ready tools and exclusive add-ons to Deephaven Community that helps your team scale up quickly and benefit from the mutualization of enhancement requests. Professional services are available if you’d like more hands on deck.

Community CoreEnterprise Edition
Query Engine
High-performance real-time incremental updates
Batch and streams via a single abstraction
Streams on streams
Expressive query language / table API
Joins, aggregations, filters, sharding, decoration
Python, Java, C++ “code to data”
Query Syntax Tree
Support for exhausting transactionsSoon
GUI-triggered, on-demand parameterized queries
Data Source integrations
Machinery for custom ingestors
Apache Parquet
Apache Kafka
CSV and files
Apache Arrow and Flight
Code-generation for bespoke loggers and tailers
Manual input tables
Deephaven persistent format
Data Sink Integrations
CSV and files
Arrow and Flight
Simple Binary EncodingSoon
Deephaven persistent format
Client APIs to manipulate tables, receive deltas and snapshots
gRPC and Arrow Flight-based communication
Communication via proprietary connections
Java API
Python API
JavaScript API
High-performance data ingestion and federation service
Internal proxy services and communication protocols
Query worker dispatcher and registry
Data validation and cleaning gear
IDE integrations
Python REPL
Java Groovy REPL
Rich table UI
Shareable web dashboards
Deephaven Notebooks
UI data input experiences and forms
“Persistent Query” infrastructure
Built-in application scheduler
Sophisticated access controls
Plug-In engineering
Git integration
Schema management
Config management
System runbooks
3rd party experiences
R Studio (and DFs)Soon
System monitoring integrations (Nagio, Geneos, Datadogg, etc.)
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