Cloudera

What Cloudera does

Cloudera, Inc. is a US-based, privately held hybrid data and AI platform company headquartered in Santa Clara/San Jose, California. Founded in 2008, the company originated as an Apache Hadoop-focused enterprise data management vendor and has evolved into a provider of a unified hybrid data, analytics, and AI platform spanning on-premises, public cloud, and edge environments. Its product portfolio includes the Cloudera Data Platform (CDP), Cloudera AI (with AI Inference powered by NVIDIA NIM microservices and Blackwell GPUs, four AI Studios for synthetic data, fine-tuning, RAG, and agents, AI Workbench, and AI Assistants), an Open Data Lakehouse built on Apache Iceberg, Cloudera Data Flow (Apache NiFi), Cloudera Streaming (Apache Kafka and Flink), Cloudera Object Store (Apache Ozone), Cloudera Data Warehouse (Trino), the Cloudera SDX governance layer, and the Cloudera Observability suite. The platform is interoperable with AWS, Microsoft Azure, and Google Cloud and integrates with NVIDIA, Intel, Red Hat OpenShift, Dell, AMD, ServiceNow, and the Apache open-source ecosystem.

Cloudera operates globally across the US, EMEA (including the UK, UAE, and South Africa), APAC (India, ANZ, Singapore, with a 14-country APAC presence), the Middle East (Saudi Arabia, including a planned AWS Saudi Arabia Region launch and a Saudi Aramco MOU), and LATAM (Brazil). The company sells primarily to large enterprises and regulated industries including financial services, healthcare, insurance, telco, public sector, government (via Cloudera Government Solutions Inc.), energy, manufacturing, and life sciences. Pricing, packaging, and GTM detail are not disclosed in the available source material; the company is described as a private SaaS platform that voluntarily publishes earnings, and trades in the leveraged loan market as a PE-backed issuer following KKR's October 2021 take-private.

The business model is anchored on enterprise platform subscriptions and consumption-based AI workloads, supplemented by professional services, training, and a partner ecosystem. Cloudera invests aggressively in inorganic growth — completing three acquisitions in two years (Verta in 2024 for operational AI, Octopai in 2024 for data lineage and catalog, and Taikun in 2025) — and in geographic and talent expansion (₹500 crore Bengaluru Centre of Excellence with Intel, 570+ new hires across 30 countries in FY26, new offices in San Jose and Saudi Arabia). In FY26 the company reported over 50% YoY growth in new and expansion business and 100%+ new logo growth in Q4, alongside a debt-marketing context in which leveraged loan prices reportedly fell 7 cents on the dollar amid AI-related software debt repricing. The company also faces an April 2026 US DOJ lawsuit alleging discriminatory hiring practices favoring temporary visa holders.

Name

Cloudera

Legal name

Cloudera, Inc.

Website

https://cloudera.com

Company type

Private

Founded year

2008

Operating status

Operating

Headcount range

1,001–5,000 employees

Short description

Cloudera is a privately held US enterprise software company that provides a hybrid data, analytics, and AI platform (Cloudera Data Platform) for large enterprises and regulated industries, spanning on-premises, multi-cloud, and edge environments with NVIDIA-powered AI inference and an open-source data lakehouse.

Ownership category

akta.pro rank

Product category

Hybrid Data & AI Platform Software

NAICS

Software Publishers (5132), Software Publishers (513210), Software Publishers (51321), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Cloud Data Warehouses (HDAEABAA)

akta.pro secondary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

Keywords

• Hybrid data platform
• Enterprise AI platform
• Data lakehouse software
• Machine learning operations
• Data management solutions

Headquarters

HQ city

Santa Clara

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Core offering

Cloudera sells a hybrid data and AI platform (Cloudera Data Platform / CDP) that brings AI to data anywhere across cloud, on-premises, and edge environments. The platform bundles enterprise AI (ML, AI Inference, AI Studios, AI Assistants, AI Workbench), Data in Motion (Data Flow, Streaming, Edge Management), an Open Data Lakehouse (Iceberg-based), and a Unified Data Fabric with Shared Data Experience (SDX), Data Catalog, Data Lineage, Observability, and Data Visualization for enterprises in regulated and data-intensive industries.

Differentiator

Problem solved

Functional benefit

Brands

• Cloudera Data Platform (CDP): The industry's only platform bringing AI to data anywhere — the unified hybrid data and AI platform.
• Cloudera AI
• Cloudera Data Flow
• Cloudera Streaming
• Cloudera Object Store
• Cloudera Data Services
• Cloudera AI Studios
• Cloudera AI Inference
• Cloudera Observability
• Cloudera SDX (Shared Data Experience)

Products and services

• Cloudera Data Platform (CDP) Unified hybrid data and AI platform that consolidates enterprise data management, analytics, and AI workloads across public cloud, on-premises data centers, and edge environments. Targeted at large enterprises requiring hybrid deployment, data sovereignty, and unified governance.
• Cloudera AI Enterprise AI platform supporting the full lifecycle of traditional machine learning, generative AI, and agentic AI workloads across hybrid cloud, on-premises, and edge environments. Targeted at enterprises deploying production AI.
• Cloudera AI Inference AI inference service powered by NVIDIA NIM microservices with OpenAI-compatible APIs, supporting online model deployment and monitoring for traditional ML and large language models on-premises and in cloud. Targeted at enterprises deploying private AI inference at scale.
• Cloudera AI Studios Suite of low-code to full-code studios (Synthetic Data Studio, Fine Tuning Studio, RAG Studio, Agent Studio) for building generative AI and agentic AI workflows. Targeted at enterprises building GenAI applications.
• Cloudera Data Flow Cloud-native data distribution service powered by Apache NiFi 2.0, providing universal data movement with 450+ connectors across cloud, on-premises, and Kubernetes. Targeted at enterprises requiring agnostic, large-scale data distribution.
• Cloudera Streaming Real-time streaming data service powered by Apache Kafka and Apache Flink for high-velocity, stateful stream processing across hybrid environments. Targeted at enterprises running real-time analytics and event-driven applications.
• Cloudera Object Store Modern object store for analytics and AI workloads, powered by Apache Ozone with full S3 compatibility, erasure coding, and 10-billion-object scalability. Targeted at enterprises requiring S3-compatible storage for hybrid cloud and AI.
• Open Data Lakehouse Open Data Lakehouse built on Apache Iceberg with Iceberg REST Catalog, enabling interoperable data sharing with Snowflake, Databricks, AWS Athena, EMR, and Apache Spark/Flink engines. Targeted at enterprises seeking an open, vendor-neutral lakehouse for analytics and AI.
• Cloudera Observability (Premium) Native observability suite for monitoring, health scoring, and optimizing Cloudera deployments across hybrid cloud environments, including a premium edition launched in July 2024. Targeted at platform owners and SRE/ops teams running Cloudera at scale.
• Cloudera Shared Data Experience (SDX) Unified security and governance layer that enforces consistent data access, security, and lineage policies across on-premises and cloud environments. Targeted at enterprises with hybrid data estates requiring centralized governance.
• Data Lineage (Octopai-powered) AI-powered data lineage and catalog capability, derived from the Octopai acquisition, integrated into the Cloudera Unified Data Fabric portfolio for automated metadata management and data lineage. Targeted at enterprises needing automated cataloging and lineage across hybrid data sources.
• Cloudera Data Warehouse (powered by Trino) Distributed SQL data warehouse powered by Trino, integrated with Cloudera SDX and Octopai Data Lineage, expanded to on-premises in 2026. Targeted at enterprises running high-performance SQL analytics on hybrid data lakes.
• Cloudera Data Services Cloud-native data services portfolio covering the full data lifecycle — from real-time streaming to production-ready AI — for cloud and hybrid deployments. Targeted at enterprises standardizing data services across cloud environments.
• Cloudera Workflow Data Fabric Zero Copy Connector for ServiceNow Zero-copy connector that enables enterprises to execute autonomous AI on ServiceNow data without data movement, providing hybrid-native AI governance compliant with EU AI Act, DORA, and HIPAA. Targeted at enterprises integrating ServiceNow workflows into hybrid AI governance.
• Cloudera Professional Services, Training, and Certification Professional services, training, and certification programs (via Cloudera Education) supporting customer deployments, skills development, and ongoing platform success. Targeted at enterprises and practitioners implementing Cloudera platforms.

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration32 records

AI capability5 records

Recent moves9 records

Expansion highlights6 records

Direct peers

• Databricks: Cloud data lakehouse plus ML/AI platform that competes with Cloudera's Open Data Lakehouse and Cloudera AI offerings across analytics, ML, and generative AI workloads. Interoperates with Cloudera's Iceberg REST Catalog, making them direct substitutes for enterprise data + AI platform spend.
• Snowflake: Cloud-native data platform with growing AI/ML capabilities that competes with Cloudera Data Warehouse and Cloudera AI. Interoperates with Cloudera's Iceberg REST Catalog for cross-platform zero-copy data sharing.
• Teradata: Long-standing hybrid enterprise data warehouse and analytics vendor, directly competitive with Cloudera's on-premises and hybrid data warehouse offerings for large, regulated enterprises.

Broad incumbents

• Palantir Technologies: Enterprise data and AI platform (Foundry/Gotham) competing with Cloudera in regulated industries and government. Broader portfolio and higher public-market valuation, but overlapping buyer personas in defense, healthcare, and financial services.
• AWS (Redshift, EMR, Bedrock, SageMaker): Hyperscaler whose Redshift, EMR, Athena, Bedrock, and SageMaker services overlap with Cloudera Data Warehouse, Open Data Lakehouse, AI Inference, and AI Studios. While Cloudera runs natively on AWS, AWS is also a substitute for parts of Cloudera's stack.
• Microsoft (Fabric, Synapse, Azure ML): Hyperscaler whose Fabric and Synapse data platforms plus Azure ML compete with Cloudera's data and AI portfolio, particularly inside Microsoft-centric enterprise estates.
• Google Cloud (BigQuery, Vertex AI): Hyperscaler whose BigQuery and Vertex AI compete with Cloudera Data Warehouse and Cloudera AI for cloud-native analytics and ML workloads; also a deployment target via Cloudera's native GCP integration.
• Hewlett Packard Enterprise (Ezmeral): Enterprise infrastructure vendor with Ezmeral Data Fabric and AI/ML offerings that overlaps with Cloudera's hybrid data and AI platform, particularly inside on-prem and HPE-integrated deployments.

Emerging players

• Starburst (Trino-based): Trino-based data lakehouse query engine that competes with Cloudera's Trino-powered Data Warehouse and lakehouse for federated query workloads, particularly for hybrid and multi-cloud deployments.
• Dremio: Apache Iceberg-native lakehouse platform that competes directly with Cloudera's Open Data Lakehouse strategy for organizations standardizing on open table formats.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/cloudera
• Xx.com/cloudera
• Facebookfacebook.com/cloudera

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Subsidiaries5 records

Funding overview

Funding rounds14 records

Investors18 records

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

M&A16 records

Investments

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

Frequently asked questions about Cloudera