Cloudera GmbH

Straße: Claudius-Keller-Straße 3C

PLZ/ Ort: 81669 München

Ansprechpartner: Jürgen Bienzeisler

Email: jbienzeisler@cloudera.com

Tel: +49 221 6507 8699

Mobil: +49 221 6507 8699

https://cloudera.com

Standnummer: S 18

Firmenkompetenzen

Big Data & Analytics

  • Datenfusion und -analyse

  • Daten-Qualitätsmanagement

  • Datensammlung und -haltung

  • Visualisierung

Datenbanken

  • Datenbanksysteme

  • In Memory Systeme

Digitalisierung

  • Cloud Computing ("aaS-Konstrukte")

  • eingebettete Systeme

  • IoT

  • Künstliche Intelligenz / Kognitive Systeme

Forschung

  • CD&E

Fach-/FüInfoSys

  • GeoInformationssysteme

Beratung und übergreifende Dienstleistungen

  • (IT-)Governance und Strategie

  • Ausbildung/Training/Weiterbildung

  • IT Architektur

  • IT Service Management

  • Prozessmanagement / Prozessdigitalisierung

sonstige Hardware

  • elektron. Lagedarstellung für GefStd/Leitstellen/Lagezentren

Firmenprofil
Cloudera's Data and AI platform — delivers value by enabling organizations to manage the entire data lifecycle in a unified, hybrid environment. As of early 2026, Cloudera has solidified its position as a "Data and AI Anywhere" leader by allowing enterprises to bring AI models directly to their data, regardless of whether it resides on-premises, in public clouds, or at the edge.

• Hybrid & Multi-Cloud Versatility: It is the only platform that provides a consistent user experience and unified governance across all deployment types (private, public, and hybrid clouds). This prevents vendor lock-in and allows for "hybrid elasticity," where workloads can burst to the cloud during peak demand without data migration.

• Operational Efficiency: According to a Forrester Consulting study, organizations using Cloudera on-premises achieved:
35% cost savings through optimized architecture.
80% faster time-to-value for data-driven initiatives.
20% increase in productivity for data teams.

• Unified Governance (SDX): Through its Shared Data Experience (SDX), the platform enforces consistent security, lineage, and compliance policies across the entire data estate, ensuring that data is trusted and ready for AI.

• Open Data Architecture: Built on open-source foundations like Apache Iceberg, it supports an open data lakehouse that facilitates seamless data sharing and breaks down silos between different teams and tools.