Cube Dev
Cube Dev provides an agentic analytics platform built on a universal semantic layer, serving enterprise data teams and SaaS companies that embed analytics in their own products. The platform governs metrics, AI agents, and embedded dashboards through a single open-source and cloud-based semantic layer.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Cube Dev does
Cube Dev provides an agentic analytics platform built on a universal semantic layer, serving enterprise data teams and SaaS companies that need to embed analytics into their own products. Founded in 2019 and headquartered in San Francisco, the company offers Cube Core (Apache-licensed open-source semantic layer) and Cube Cloud (fully managed SaaS). The platform defines metrics, dimensions, joins, hierarchies, and access policies once in a governed data model and serves them to BI tools, embedded dashboards, natural-language chat, and AI agents through multiple APIs (Postgres-compliant SQL, REST, GraphQL, MDX, and DAX for Power BI). Customers include Brex, Webflow, Tesla, SpaceX, Walmart, Maersk, Patagonia, Alcon, and Drata, with the company reporting nearly 5 million users across 203 Fortune 1000 companies and 400+ embedded analytics customers.
The technical architecture centers on a dataset-oriented modeling approach using cubes, views, and semantic SQL, combined with proprietary caching via Cube Store and configurable pre-aggregations that deliver subsecond query latency on billion-row datasets. AI capabilities include an Analytics Chat agent, Dashboard Agent, and Workbook Agent that build and execute queries against the semantic model, governed through Agent Rules (declarative business logic), Certified Queries (analyst-approved SQL patterns), and the Cube Evals accuracy testing framework. MCP Connectors extend agent reasoning into external tools such as Notion, Linear, Sentry, and Attio. The platform supports BYOC (AWS, GCP, Azure) and BYOLLM for enterprise flexibility, with security features including row-level security, column masking, SSO/SAML, and SOC 2 Type II, HIPAA, and GDPR compliance.
Cube operates a hybrid go-to-market combining self-serve cloud tiers (Free, $40/developer/month Starter, $80/developer/month Premium) billed monthly via Stripe with enterprise direct sales for custom contracts, dedicated single-tenant installations, and 99.990% uptime SLAs. Usage-based compute add-ons (dedicated compute, multi-cluster deployment, additional API instances, and Cube Store workers) sit alongside per-seat pricing. The company has raised approximately $40.5 million across three rounds, most recently a $25 million round in June 2024 led by Databricks Ventures, with earlier participation from Bain Capital Ventures, Decibel, Eniac Ventures, Betaworks, Uncorrelated Ventures, Innovation Endeavors, The Slack Fund, 645 Ventures, and overtime.vc.
Cube Dev firmographics
Firmographics- Name
- Cube Dev
- Legal name
- Cube Dev, Inc.
- Website
- https://cube.dev
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Cube Dev provides an agentic analytics platform built on a universal semantic layer, serving enterprise data teams and SaaS companies that embed analytics in their own products. The platform governs metrics, AI agents, and embedded dashboards through a single open-source and cloud-based semantic layer.
- Ownership category
- akta.pro rank
Cube Dev industry classification
Industry- Product category
- Semantic Layer / Analytics Platform
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Developer Tools & DevOps Platform Services (CI/CD, Artifacts, IaC) (HDABAAAI)
Keywords
Where Cube Dev is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Cube Dev business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription - Cloud SaaS Plans: Cube offers tiered subscription plans (Free, Starter, Premium, Enterprise) billed per seat/developer on a monthly or annual cadence. Self-serve customers pay via Stripe credit card monthly. Enterprise customers sign order forms with annual upfront billing, Net 30 payment terms, and custom committed seats. Overages for uncommitted seats are billed in arrears.
- Usage-based / Compute Add-ons: Premium tiers include dedicated compute at $0.60–$1.20/hour, multi-cluster deployment at $1.20/hour/cluster, additional API instances at $0.15–$0.30/hour, and Cube Store caching workers at $0.15–$0.30/hour. These usage-based add-ons sit alongside flat per-seat pricing.
- Open Source (Community-driven adoption): Cube Core is Apache-licensed open source, generating community adoption and product-led growth funnel into paid cloud tiers. No direct revenue from the open-source product itself.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free forever — for hobbyists and small projects |
| Subscription | Monthly | $40/developer/month — for professionals scaling data workflows |
| Subscription | Monthly | $80/developer/month — for teams scaling analytics and collaboration |
| Subscription | Multi-year contract | Custom — for enterprises demanding security and support |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels13 records
Cube Dev product offering
Product offeringCore offering
Cube Dev provides an agentic analytics platform built on a universal semantic layer. The portfolio consists of Cube Core, an Apache-licensed open-source semantic layer that defines metrics, dimensions, joins, hierarchies, and access policies once, and Cube Cloud, the fully managed SaaS deployment of the platform. Together they deliver governed, multi-tenant analytics across chat interfaces, workbooks, dashboards, embedded applications, and AI agents, served via SQL, REST, GraphQL, MDX, and DAX APIs.
Product overview
Cube Dev offers an agentic analytics platform built on a universal semantic layer. The portfolio consists of Cube Core (open-source Apache-licensed semantic layer) and Cube Cloud (fully managed SaaS). Key modules include: Analytics Chat for natural-language querying, Workbooks and Dashboards for data exploration, Creator Mode for embedded creation experiences, AI Studio for agent development with Cube Evals (accuracy testing) and MCP Connectors (external tool integrations). The platform provides Data APIs (SQL, REST, GraphQL, DAX), Cube Store for caching/pre-aggregations, and multiple embedding options (Chat API, iframes, Core Data APIs). Agent capabilities include Agent Rules and Certified Queries for governance, plus Cube Agent Skills for reusable multi-step workflows.
Differentiator
Problem solved
Functional benefit
Brands
- Cube Cloud: The fully managed SaaS cloud platform for Cube's semantic layer, providing enterprise-grade analytics capabilities.
- Cube Core
- Cube Store
Products and services
- Cube Core Self-managed, Apache-licensed open-source semantic layer that defines metrics, dimensions, joins, hierarchies, and access rules. Deployed on-premises or in any cloud (AWS, GCP, Azure); configurable cluster topology, upgrade management, and resource scaling. Targeted at developers and data teams building analytics infrastructure.
- Cube Cloud Fully managed SaaS semantic layer platform on AWS, GCP, and Azure with enterprise-grade security (SOC 2 Type II, HIPAA, GDPR). Provides auto-scaling, auto-suspension, blue-green deployment, semantic layer IDE, AI Studio, and embedded analytics options. Sold via tiered subscriptions (Free, Starter, Premium, Enterprise) and direct sales for large organizations.
Quantifiable outcome
- Cube Cloud serves nearly 5 million users across 203 Fortune 1000 companies
- +7 more outcomes
Companies that use Cube Dev
Customer profileNamed customers17 records
Segments4 records
Ideal customer profiles3 records
Cube Dev technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration14 records
AI capability13 records
Feature21 records
Cube Dev partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered minor and core.
- CoalesceminorCoalesce and Cube partnered to bring a universal semantic layer to data pipeline development. This partnership enables data teams to leverage Cube's semantic layer within Coalesce's data transformation workflow.
- SnowflakecoreSnowflake is a technology partner. Cube integrates with Snowflake as a data source for its semantic layer, with Cube's pre-aggregations helping reduce Snowflake query costs for customers (e.g., SecurityScorecard halved Snowflake costs using Cube).
- Amazon Web Services (AWS)coreAWS is listed as a technology partner and cloud infrastructure provider. Cube Cloud is available on AWS, and Cube Core can be self-hosted on AWS. Cube supports AWS PrivateLink for enterprise networking.
- Google CloudcoreGoogle Cloud is listed as a technology partner. Cube supports GCP as a deployment target and for Cube Store blob storage integrations.
- Microsoft AzurecoreMicrosoft Azure is listed as a technology partner. Cube Cloud is available on Azure for BYOC deployments, and Cube supports Azure integrations including blob storage for Cube Store.
- AstrodatacoreAstrodata is a Cube consulting partner providing expert data engineering, analytics, software engineering, and AI services. They help customers develop data + product strategy, implement embedded analytics and AI products, and build scalable infrastructure.
- DataplatrcoreDataplatr is a Cube consulting partner — a data analytics consultancy helping enterprises modernize their data stack with custom analytics, managed analytics, and Generative AI services across sales, HR, finance, and contact-center operations.
- Lucid DatacoreLucid Data is a Cube consulting partner helping growing companies succeed with data by establishing sound, scalable data architecture foundations, data ownership assessments, and hands-on implementation of cloud data warehouses and ML Ops.
- Rittman AnalyticsminorListed as a consulting partner. Rittman Analytics provides data and analytics consulting services, including Cube implementations.
- ClickHousecoreClickHouse is a data source integration partner. Webflow uses Cube Cloud with ClickHouse for high-performance querying, achieving p95 of 220ms. Cube integrates natively with ClickHouse for fast query execution.
Scale indicators12 records
Recent moves6 records
Expansion highlights6 records
Cube Dev competitors and assessment
Company assessmentDirect peers
- dbt Labs: dbt Labs offers dbt Semantic Layer as part of its analytics engineering platform, directly competing with Cube in the metrics/semantic-layer category. Brex publicly evaluated dbt Semantic Layer alongside Cube, underscoring the head-to-head nature of the competition.
- Hex: Hex is a collaborative analytics and data notebook platform with AI features for analysts. It overlaps with Cube's Workbooks surface and AI-native BI positioning, particularly for data teams that blend SQL, Python, and natural-language workflows.
- Sigma Computing: Sigma offers a cloud-native analytics platform with a spreadsheet-style UI and embedded analytics. It competes with Cube in the embedded analytics segment, particularly for SaaS companies shipping customer-facing dashboards.
- Mode Analytics: Mode is an analytics platform combining SQL, Python, and visual reporting with collaborative notebooks. It overlaps with Cube's internal BI positioning and serves a similar data-team buyer persona.
- Kyligence: Kyligence offers a metrics store and AI-driven analytics platform with semantic-layer capabilities and pre-aggregations. It is a direct competitor to Cube's semantic layer and caching/pre-aggregation features, especially for large enterprise analytics workloads.
Broad incumbents
- Looker (Google Cloud): Looker's LookML modeling layer pioneered semantic modeling for BI and is a benchmark competitor. As part of Google Cloud, Looker bundles semantic modeling into a broader enterprise BI and data platform — competing with Cube at the high end of the market.
- ThoughtSpot: ThoughtSpot is an AI-driven analytics platform with natural-language search, embedded analytics, and a Spotter AI agent. It overlaps with Cube's Analytics Chat and embedded analytics surfaces while serving a broader enterprise BI footprint.
- Domo: Domo is a cloud BI and embedded analytics platform with low-code dashboards, AI features, and a data app marketplace. It competes broadly with Cube's BI and embedded analytics surfaces across the enterprise mid-market.
Emerging players
- Atlan: Atlan is an active metadata and data catalog platform with governance and collaboration features. It is adjacent to Cube's semantic layer, focused more on discovery and governance than query serving, but increasingly overlaps in the AI/analytics governance layer.
- Tellius: Tellius is an AI-driven decision intelligence platform with natural-language analytics and automated insights. It is an emerging competitor in the agentic/AI analytics space where Cube is positioned via Analytics Chat and the Cube Agent.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Cube Dev social profiles
Digital presenceCube Dev compliance and trust
Trust signalCompliance3 records
Cube Dev financial estimates
Financial estimateRevenue estimate
Valuation estimate
Cube Dev leadership team
Management profileNumber of profiles
Profiles6 records
Cube Dev funding detail
Funding detailFunding overview
Funding rounds3 records
Investors13 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Cube Dev M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Cube Dev
What does Cube Dev do?
Cube Dev provides an agentic analytics platform built on a universal semantic layer. The portfolio consists of Cube Core, an Apache-licensed open-source semantic layer that defines metrics, dimensions, joins, hierarchies, and access policies once, and Cube Cloud, the fully managed SaaS deployment of the platform. Together they deliver governed, multi-tenant analytics across chat interfaces, workbooks, dashboards, embedded applications, and AI agents, served via SQL, REST, GraphQL, MDX, and DAX APIs.
Is Cube Dev a public or private company?
Cube Dev is a private company. It is classified as venture growth investor backed and is currently operating.
When was Cube Dev founded?
Cube Dev was founded in 2019. It employs 11 to 50 people.
Where is Cube Dev based?
Cube Dev is headquartered in San Francisco, United States, in the North America region.
How does Cube Dev make money?
Three revenue lines are on record. Subscription - Cloud SaaS Plans are the primary driver. The others are usage-based / Compute Add-ons and open Source (Community-driven adoption).
Who are Cube Dev's main competitors?
Direct peers on record are dbt Labs, Hex, Sigma Computing, Mode Analytics and Kyligence. Broad incumbents are Looker (Google Cloud), ThoughtSpot and Domo. Emerging players are Atlan and Tellius.
Does Cube Dev have an API?
Yes. Cube offers multiple APIs: SQL API (Postgres-compliant), REST API, GraphQL API, MDX API, and DAX API for Power BI. These APIs provide programmatic access to semantic models, enabling developers to build custom analytics experiences, embed dashboards, and query governed metrics. Authentication uses securely signed JSON Web Tokens with security context. Developer documentation is at cube.dev/docs.
What industry is Cube Dev in?
Cube Dev's product category is Semantic Layer / Analytics Platform. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI). Its NAICS code is 5132 and its SIC code is 7372.