CDAP
CDAP is a 100% open-source, integrated data analytics framework originally developed by Cask and contributed to the Apache Software Foundation, providing abstractions over Hadoop/Spark plus accelerators for pipelines, data preparation, ML, and business rules; it is commercialized via Cloud Data Fusion on Google Cloud.
- Company typePrivate
- Founded2011
- HeadquartersSan Francisco, United States
- Headcount—
- GTM typeB2B
- OfferingSoftware
What CDAP does
CDAP (Cask Data Application Platform) is a 100% open-source, integrated data analytics framework originally developed by Cask in 2014 and contributed to the Apache Software Foundation as an Incubator project in 2018 under the Apache License 2.0. The platform provides abstractions over Apache Hadoop and Apache Spark, enabling developers, data scientists, and business analysts to build data pipelines, integrate sources, and manage transformations without wrestling directly with the underlying infrastructure. CDAP's product surface consists of the core framework plus four accelerator modules: Pipelines (visual data integration), Wrangler (interactive data preparation), Analytics (machine learning model development and deployment), and Rules Engine (code-free business rule management), supported by an extensible plugin hub spanning Sources, Sinks, Transforms, Actions, and Alert publishers.
The technology architecture is portable across runtime environments — including Apache Hadoop YARN, Docker, and major public clouds — delivering hybrid and multi-cloud deployment with built-in metadata capture, dataset and field-level lineage, and integration with enterprise security systems. Distribution is product-led and entirely open-source at the core: users self-host on AWS, Azure, GCP, or on-premises Hadoop clusters. The primary commercial channel is Cloud Data Fusion on Google Cloud Platform, a fully managed, cloud-native enterprise data integration service powered by CDAP and accessed through the Google Cloud Console; secondary channels include a partner ecosystem of implementation SIs (Pythian, Amaris) and technology integrators (Guavus, CyberVisionTech, AdaptiveScale, Cirus, Cogniflare, Quantiphi).
CDAP operates from San Francisco with a small named team of approximately 18 engineers, architects, and technical staff, and serves data engineers, data scientists, and business analysts at enterprise customers that need portable, multi-cloud data integration and orchestration. Pricing is not publicly disclosed; revenue mechanics are freemium for the open-source platform and consumption/subscription-based via the Cloud Data Fusion GCP offering.
CDAP firmographics
Firmographics- Name
- CDAP
- Legal name
- CDAP (Cask Data Application Platform)
- Website
- https://cdap.io
- Company type
- Private
- Founded year
- 2011
- Operating status
- Operating
- Short description
- CDAP is a 100% open-source, integrated data analytics framework originally developed by Cask and contributed to the Apache Software Foundation, providing abstractions over Hadoop/Spark plus accelerators for pipelines, data preparation, ML, and business rules; it is commercialized via Cloud Data Fusion on Google Cloud.
- Ownership category
- akta.pro rank
Where CDAP is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
CDAP business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- Open Source Platform: 100% open source platform available for free download and self-hosting
- Cloud Data Fusion (Google Cloud): Fully managed cloud-native enterprise data integration service powered by CDAP available on Google Cloud Platform
Go-to-market motion1 record
Distribution channels4 records
Marketing channels5 records
CDAP product offering
Product offeringCore offering
CDAP is a 100% open source integrated framework that accelerates application development for data analytics by providing abstractions over Apache Hadoop and Apache Spark technologies. The platform enables developers, data scientists, and business analysts to build and manage data pipelines, cleanse and prepare data through a visual interface, develop/train/deploy machine learning models, and manage business transformation rules without coding. It is distributed as a downloadable open source platform that runs on-premises or on AWS, Azure, or GCP, and also powers Google Cloud's Cloud Data Fusion as a fully managed enterprise data integration service.
Product overview
CDAP is a 100% open source, integrated data analytics platform and framework that accelerates application development for data analytics. The core CDAP platform provides abstractions over complex technologies (including Apache Hadoop and Apache Spark) enabling developers to focus on insights rather than infrastructure. The product portfolio consists of the core CDAP platform along with four accelerator modules: Pipelines (visual data integration), Wrangler (interactive data cleansing and preparation), Analytics (ML model development and deployment), and Rules Engine (business rule management). Additionally, Cloud Data Fusion on Google Cloud Platform is a fully managed enterprise service powered by CDAP. The platform supports hybrid and multi-cloud deployments across Amazon Web Services, Microsoft Azure, and Google Cloud Platform, with extensibility provided through a plugin ecosystem.
Differentiator
Problem solved
Functional benefit
Brands
- Cloud Data Fusion: Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service, powered by CDAP, for quickly building and managing data pipelines on Google Cloud Platform.
Products and services
- CDAP (Cask Data Application Platform) 100% open source, integrated framework that accelerates application development for data analytics by providing abstractions over Apache Hadoop and Apache Spark, for developers, business analysts, and data scientists.
- Cloud Data Fusion Fully managed, cloud-native, enterprise data integration service powered by CDAP, for building and managing data pipelines on Google Cloud Platform, aimed at enterprise data engineering teams.
- Pipelines Easy-to-use graphical data integration interface that brings together data from multiple sources and lets users define transformations visually, for data engineers and developers.
- Wrangler Interactive, visual tool to cleanse and prepare raw data through a standardized UI-driven flow for data engineering, data science, and data analysis preprocessing tasks.
- Analytics Simple, interactive, automated interface for users to develop, train, test, evaluate, and deploy machine learning models on CDAP.
- Rules Engine Code-free UI for business analysts to create, manage, and govern a knowledge base of data transformation rules automatically applied in data pipelines; available as a library to integrate with JBoss, Spring, WebLogic, and SQL tools.
- CDAP Plugins Extensible plugin ecosystem that lets users extend CDAP capabilities, with pre-built plugins across categories such as Sink, Source, Action, Transform, Alert publisher, Analytics, Condition, and Error handler.
Companies that use CDAP
Customer profileSegments4 records
Ideal customer profiles2 records
CDAP technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
Feature6 records
CDAP partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered flagship and minor.
- Google CloudflagshipGoogle Cloud offers Cloud Data Fusion, a fully managed, cloud-native, enterprise data integration service powered by CDAP. Available on Google Cloud Console for quickly building and managing data pipelines.
- PythianminorImplementation and consulting partner providing services related to CDAP deployments.
- AmarisminorImplementation and consulting partner listed in the CDAP ecosystem.
Scale indicators1 record
Recent moves5 records
Expansion highlights4 records
CDAP competitors and assessment
Company assessmentEmerging players
- Apache NiFi: Apache NiFi is an Apache Software Foundation project for routing and transforming data flows between systems. It is an open-source alternative for the data movement layer of CDAP and often appears in the same shortlists for hybrid data pipeline architecture decisions.
- Apache Airflow: Apache Airflow is the de facto open-source standard for orchestrating data pipelines, frequently used alongside or in place of CDAP's scheduling and pipeline management features. Many CDAP prospects pair the two or evaluate Airflow as a substitute.
Direct peers
- Talend (now part of Qlik): Talend is the closest open-source-rooted data integration and governance platform, historically bundled into broader analytics suites. It competed head-to-head with CDAP on visual ETL, data quality, and pipeline portability, and shares the 'open-core enterprise data integration' positioning CDAP aims for.
- Pentaho (Hitachi Vantara): Pentaho originated as an open-source data integration and analytics suite built on Hadoop-era infrastructure, before acquisition by Hitachi Vantara. Its lineage, architecture choice, and customer base closely match CDAP's Hadoop/Spark foundation and enterprise analytics targeting.
- StreamSets: StreamSets (now part of IBM) is a data integration platform focused on building and operating continuous data pipelines across hybrid and multi-cloud environments — the same core use case CDAP addresses via Pipelines and Cloud Data Fusion.
Broad incumbents
- Informatica: Informatica is the largest independent data integration and data management incumbent, with deep enterprise deployments and a broad portfolio covering ingestion, ETL, data quality, governance, and master data — directly overlapping CDAP's pipeline, lineage, and metadata capabilities.
- Alteryx: Alteryx is an analytics and data preparation platform with low-code tooling that overlaps directly with CDAP's Wrangler and Rules Engine accelerators, and is a frequent competitor in enterprise analytics workflows.
- Databricks: Databricks is the leading data lakehouse / Spark-based analytics platform and increasingly bundles its own data engineering, ML, and pipeline capabilities — competing with CDAP both at the Spark runtime layer and across its Analytics accelerator.
- Snowflake: Snowflake is the dominant cloud data warehouse and has been expanding into data engineering and integration tooling (e.g., Snowpark, data pipeline features). Its growing integration surface competes with CDAP's pipeline and transformation use cases.
- MuleSoft (Salesforce): MuleSoft is the enterprise application and data integration platform owned by Salesforce, with broad API-led connectivity capabilities that overlap with CDAP's enterprise integration use cases, especially in hybrid cloud and SaaS-to-data-warehouse integration.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
CDAP social profiles
Digital presenceCDAP financial estimates
Financial estimateRevenue estimate
Valuation estimate
CDAP leadership team
Management profileNumber of profiles
CDAP funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
CDAP 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 CDAP
What does CDAP do?
CDAP is a 100% open source integrated framework that accelerates application development for data analytics by providing abstractions over Apache Hadoop and Apache Spark technologies. The platform enables developers, data scientists, and business analysts to build and manage data pipelines, cleanse and prepare data through a visual interface, develop/train/deploy machine learning models, and manage business transformation rules without coding. It is distributed as a downloadable open source platform that runs on-premises or on AWS, Azure, or GCP, and also powers Google Cloud's Cloud Data Fusion as a fully managed enterprise data integration service.
Is CDAP a public or private company?
CDAP is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was CDAP founded?
CDAP was founded in 2011.
Where is CDAP based?
CDAP is headquartered in San Francisco, United States, in the North America region.
How does CDAP make money?
Two revenue lines are on record. Open Source Platform is the primary driver. The others are cloud Data Fusion (Google Cloud).
Who are CDAP's main competitors?
Emerging players on record are Apache NiFi and Apache Airflow. Direct peers are Talend (now part of Qlik), Pentaho (Hitachi Vantara) and StreamSets. Broad incumbents are Informatica, Alteryx, Databricks, Snowflake and MuleSoft (Salesforce).
Does CDAP have an API?
Yes. CDAP provides Developer SDK and APIs with abstractions over common data processing patterns. The platform offers REST APIs and CLI for every interaction. Developer SDK and APIs support cutting edge Cloud, Apache Hadoop and Apache Spark technologies. Developer documentation is at docs.cdap.io/cdap/current/en/index.html.