What Cask does

Cask is a Palo Alto-based, privately held software company founded in 2011 that develops CDAP (Cask Data Application Platform), a 100% open source integrated framework for building data analytics applications on top of Apache Hadoop and Apache Spark. CDAP provides developer SDKs, REST APIs, metadata repositories, data lineage and governance, portable runtimes (YARN and Docker), and pre-built accelerator modules including Pipelines for visual data integration, Wrangler for interactive data preparation, Analytics for machine learning model development, and a Rules Engine for code-free business rule management. The platform runs on-premises and across all major public clouds (AWS, Azure, GCP) and serves technical personas including data engineers, business analysts, and data scientists in enterprise organizations with hybrid and multi-cloud data integration requirements.

Cask's business model is anchored on open source distribution under the Apache 2.0 license, which generates no direct license revenue but is intended to drive adoption. Commercial revenue is generated through enterprise support, consulting, and implementation services delivered largely via implementation partners (Quantiphi, Pythian, Amaris), and through an OEM-style embedding with Google Cloud, where CDAP serves as the underlying engine of the fully managed Cloud Data Fusion service on Google Cloud Platform, generating a licensing/royalty stream. The company has raised approximately $37.5 million across seed, Series A, and Series B rounds between 2012 and 2015, with a follow-on Ericsson investment in 2016, and operates with a lean 11-50 person team. Cask's distribution channels include direct open source download, cloud provider marketplaces, and the Google Cloud Data Fusion OEM partnership, supplemented by content marketing through documentation portals and a Medium blog, with a partner ecosystem that includes both technology integrators and system integrators.

Name

Cask

Legal name

Cask

Website

https://cdap.io

Company type

Private

Founded year

2011

Operating status

Operating

Headcount range

11–50 employees

Short description

Cask develops CDAP, a 100% open source unified data integration and application platform for Hadoop and Spark ecosystems. It serves data engineers, business analysts, and data scientists across hybrid and multi-cloud environments, and powers Google Cloud's Data Fusion service.

Ownership category

akta.pro rank

Product category

Big Data Integration Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer and Computer Peripheral Equipment and Software Merchant Wholesalers (423430)

SIC

Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

Marketplace APIs & API Monetization Platforms (BPAMAOAM)

Keywords

• Open source data integration
• Big data analytics platform
• Enterprise data pipelines
• Cloud data fusion
• Hadoop spark framework

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Open Source Distribution: CDAP is distributed as 100% open source software under Apache License 2.0, freely downloadable and usable by anyone.
2. Enterprise Support and Services: Commercial enterprise support, consulting, and implementation services likely offered through partners and potentially direct commercial licensing.
3. Cloud Data Fusion Integration: Revenue generated through Google Cloud's Cloud Data Fusion service, which is powered by CDAP as a fully managed cloud-native enterprise data integration service.

Go-to-market motion3 records

Distribution channels3 records

Marketing channels4 records

Core offering

Cask sells CDAP (Cask Data Application Platform), a 100% open source, integrated framework that accelerates application development for data analytics by abstracting over Apache Hadoop, Apache Spark, and major cloud platforms. The offering includes the core CDAP platform plus accelerator modules (Pipelines, Wrangler, Analytics, Rules Engine), REST APIs/CLI/SDK for programmatic interaction, and powers Google Cloud's Cloud Data Fusion managed service. Commercial monetization is through enterprise support, professional services, and the embedded Google Cloud partnership.

Product overview

Cask offers CDAP (Cask Data Application Platform), a 100% open source, integrated data analytics framework. The product portfolio includes the core CDAP platform plus accelerator modules: CDAP Pipelines for visual data integration, CDAP Wrangler for interactive data cleansing and preparation, CDAP Analytics for machine learning model development and deployment, and CDAP Rules Engine for business analyst-managed data transformation rules. Cloud Data Fusion, available on Google Cloud Platform, is a fully managed, cloud-native edition powered by the CDAP engine. The platform is portable across runtime environments including Apache Hadoop YARN, Docker, and major public cloud providers.

Differentiator

Problem solved

Functional benefit

Products and services

• CDAP (Cask Data Application Platform) A 100% open source, integrated framework that accelerates application development for data analytics by abstracting over Apache Hadoop, Apache Spark, and major cloud platforms, enabling developers, business analysts, and data scientists to build data applications and pipelines without managing underlying infrastructure.
• CDAP Pipelines Provides an easy-to-use graphical data integration interface to bring together data from a myriad of different sources and define transformations visually.
• CDAP Wrangler Allows users to visually and interactively cleanse and prepare raw data, providing a standardized UI-driven interactive flow for preprocessing tasks across data engineering, data science, and data analysis.
• CDAP Analytics Provides a simple, interactive, automated interface for users to develop, train, test, evaluate, and deploy machine learning models on structured data.
• CDAP Rules Engine Provides a way for business analysts to create and manage a knowledge base of data transformation rules that need to be automatically applied to data pipelines, with an intuitive code-free UI.
• Cloud Data Fusion A fully managed, cloud-native, enterprise data integration service powered by CDAP, for quickly building and managing data pipelines on Google Cloud Platform.

Segments4 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability2 records

Feature7 records

Partnerships

Four partnerships are on record, tiered flagship and minor.

• Google CloudflagshipTechnology or IntegrationGoogle Cloud's Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service powered by CDAP. This represents a deep technology partnership where CDAP serves as the underlying engine for Google's managed data integration offering on Google Cloud Platform.
• QuantiphiminorImplementation/ SI/ Consulting PartnerQuantiphi is listed as a CDAP partner, likely providing implementation or consulting services for CDAP deployments.
• PythianminorImplementation/ SI/ Consulting PartnerPythian is listed as a CDAP partner, likely providing implementation or consulting services for CDAP deployments.
• AmarisminorImplementation/ SI/ Consulting PartnerAmaris is listed as a CDAP partner, likely providing implementation or consulting services for CDAP deployments.

Scale indicators1 record

Recent moves6 records

Expansion highlights5 records

Emerging players

• dbt Labs: dbt Labs provides a transformation-focused open-source tooling layer for analytics engineering inside cloud warehouses. While narrower in scope than CDAP, it overlaps on the analytics-engineering persona and competes for that share of the data-engineering budget.
• Matillion: Matillion provides cloud-native ELT for data warehouses (Snowflake, BigQuery, Redshift, Databricks). It overlaps with CDAP's cloud-data-pipeline capabilities and competes for the same mid-market and enterprise ETL use case.

Direct peers

• Talend (Qlik): Talend provides open-source data integration and data governance tooling (now part of Qlik) and historically competed head-to-head with CDAP's enterprise data integration footprint. Its open-source lineage and governance focus make it a closely comparable offering for enterprise buyers.
• Databricks: Databricks offers the Lakehouse Platform built on Apache Spark, the same underlying technology CDAP abstracts for Hadoop/Spark data applications. Both target data engineers and data scientists with unified data engineering, ETL, and ML capabilities — making Databricks the most direct open-comparison competitor to CDAP.
• Airbyte: Airbyte is a venture-backed open-source data integration platform with a connector hub model that mirrors CDAP's Plugin Hub approach. Both serve data engineers with a connector-centric, self-hostable data pipeline platform and a managed cloud offering.
• StreamSets (Software AG): StreamSets provides a data integration platform focused on continuous data flows across hybrid and multi-cloud environments. Its visual pipeline design and streaming/batch interoperability compete directly with CDAP Pipelines and the hybrid runtime architecture.
• Apache Airflow: Apache Airflow is the de facto open-source workflow orchestrator for data pipelines. It overlaps directly with CDAP Pipelines (graphical data integration) and is the default scheduling layer CDAP must integrate against (and compete with) for data-engineering workflows.

Broad incumbents

• Informatica: Informatica is the largest enterprise data integration and governance vendor, with extensive metadata, lineage, and governance capabilities that directly overlap CDAP's enterprise-ready features. It is the incumbent against which open-source alternatives such as CDAP are typically positioned.
• Cloudera: Cloudera is the legacy commercial Hadoop platform and historically the largest enterprise distribution of the underlying technology CDAP abstracts. It targets the same on-prem Hadoop + cloud workloads and competes for enterprise data-platform spend.
• Fivetran: Fivetran is the leading managed ELT data integration platform with a connector library and a multi-cloud vendor footprint. While its managed-services model differs from CDAP's open-source deployment, the two compete for the same data-engineering budget allocation.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/caskdata
• Facebookfacebook.com/cask
• LinkedInlinkedin.com/company/cask-data

Revenue estimate

Valuation estimate

Number of profiles

Profiles18 records

Funding overview

Funding rounds5 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Cask