TECHNOLOGY PARTNERS

CUBE & RITTMAN ANALYTICS

Trust your insights. Consume data from any source, organize it into consistent metrics, and use it with every data app.

What Is Cube?

The average enterprise uses more than six BI applications, but manually defining metrics in each one gets messy—leading to inconsistent insights, and cross-functional misalignment.

The solution? With upstream and centralized metrics definitions that are managed in code in Cube’s semantic layer, there is no need to specify metrics separately in each application.

Best-of-Breed Semantic Layer with No Platform Lock-In

A semantic layer is a middleware between your data source and your data application. Cube is an API-first, four-part semantic layer that enables data engineers and developers to make their data consistent, secure, performant, and accessible across every application.

Designed to work with all SQL-enabled data sources including Snowflake, Google BigQuery, Presto and Postgres, Cube has a built-in caching engine to provide sub-second latency and high concurrency for API requests.

Built for Embedding and Data Apps

Headless, API-first, and decoupled from visualizations, You can use Cube with any charting library to build your own custom UI, or connect existing dashboarding and reporting tools to Cube and expose your data to every application via REST, GraphQL, and SQL APIs.

For more details on Cube and its approach to semantic models and headless BI, check-out these resources:

Introduction to Cube (cube.dev)
Cube Semantic Layer (cube.dev)
Cube for Embedded Analytics (cube.dev)

DEEP DIVE

CUBE & RITTMAN ANALYTICS

Experts in the Modern Data Stack

Rittman Analytics is a boutique analytics consultancy specializing in the modern data stack who can help you centralise your data sources, optimize your marketing activity and enable your end-users and data team with best practices and a modern analytics workflow.

Our team provides consulting services that help organisations get started with Cube, either as part of a wider consulting engagement or as a shorter, more focused engagement to implement the Cube Sematnic Layer on-top of an existing data warehouse.

Cube Partner Network Consulting Partner

We are a founding member of the Cube Partner Network and specialises in implementing Cube, along with tools and technologies from the modern data stack, for internal BI and embedded BI initiatives. We also sponsor the Droughty open-source project, a toolkit developed from our consulting work that accelerates the delivery of Cube and other semantic layers

Experts in Delivering World-Class Cube Implementations

Interested in how we work with Cube? Check-out these resources:

Building up a semantic layer with dbt Metrics, Cube and Droughty (rittmananalytics.com)
How Rittman Analytics delivers the semantic layer today with Cube (Slides)
Droughty homepage (github.com)

SERVICES

CUBE QUICKSTART PACKAGE

Would you like to run Cube on-top of your Snowflake, Google BigQuery or other cloud data warehouse but don't have the necessary data engineering resources or know-how to develop a production-quality Cube semantic model?

We can help. Our data and analytics engineering team can setup Cube for you, build your semantic model and integrate it with your BI tool or help embed it in your SaaS application. We provide your engineers and data team with the training they need to get up to speed, or manage and support Cube for you.

This consulting package is designed to get your Data or Product team up-and-running with Cube, a semantic layer for building standalone data apps, integrating with BI tools such as Superset/Preset and embedded analytics within SaaS applications.

Over four weeks we work with you and your team to design, implement and integrate Cube into your cloud infrastructure, and then either connect it to your SQL-based BI tool or use Cube’s REST API to integrate with your application.

WHAT IS INCLUDED?

Deliverables from this Quickstart package are:

Cube semantic model design, implementation blueprint and documentation
Deployment of your Cube semantic model into the cloud of your choice using Cube Cloud
Configuration of access control, row- and column-level security
Connection of Cube to your SQL-based BI tool (e.g., Tableau, Superset, etc), notebook (e.g., Deepnote, Hex, etc.) or collaboration with your engineering team to integrate Cube into your application via REST API
Query optimization using Cube’s in-memory cache, queue management, and configurable pre-aggregations
Documentation and enablement for your data team or engineering team

What Do You Need?

To deliver our Quickstart package with four weeks, you will need to have already:

Implemented a cloud data warehouse, structured appropriately for ad-hoc analytics queries
Chosen an implemented your SQL-based BI tool, or developed an application into which Cube will be embedded
Identified a use-case suitable for use with Cube and capable of being delivered within four weeks

Not ready yet to deploy Cube? Don’t worry - we can help get you there, and then work with you to deliver the Cube Quickstart!

HOW MUCH DOES IT COST?

The Cube Quickstart Package from Rittman Analytics is priced at £14950 ($17950, €17950)

FIND OUT MORE

To find-out more about our Cube Quickstart Package or other consulting services for the modern data stack, either contact us at info@rittmananalytics.com, fill in the enquiry form or press the button below to arrange a free, no-obligation initial Discovery call.