Looking for a Cloudera alternative? 

Zetaris delivers a Hybrid Data Lakehouse that replaces Cloudera's complex, centralized stack with federated querying, eliminating ETL pipelines and slashing cloud costs. Teams switch to Zetaris for real-time AI-ready data access across hybrid sources without migration disruptions.

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Multi-Engine Intelligence.

Spark, Trino, Presto, DuckDB – routed automatically to cut compute up to 60%.

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Zero Copy. 
Copy that.

Run queries in place – no duplication, no egress fees, no migrations.

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40% Lower Data Costs

Slash spend by eliminating ETL, reducing management overhead, and optimising every workload.

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Reasons to make the switch to Zetaris for Al and Data Operations

 

With artificial intelligence, business decision making extends beyond an organisation’s human resources. The Zetaris Modern Lakehouse for AI is for building and deploying data products.

01

 

Federated by Design.

Query data where it lives. No duplication. No egress fees.

02

 

Multi-Engine Smart Routing.

Spark, Trino, Presto, DuckDB – the right engine for every job, automatically.

03

 

AI-Native Architecture.

Built for AI-speed from the ground up, not retrofitted BI.

04

 

Open & Sovereign.

Deploy anywhere. Stay compliant. Keep control.

05

 

Real-Time, Every Time.

Batch and streaming combined for sub-second AI responses.

06

 

Secure by Default.

Enterprise-grade governance, encryption, and role-based controls ensure your data stays safe, compliant, and audit-ready at every step

Compare the pair and discover the
Zetaris difference 

 

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Zetaris focuses on being a networked data platform and AI lakehouse that sits across existing systems, emphasizing query federation, unified semantic harmonisation and AI‑ready data products instead of replacing every layer.​



 

Cloudera Logo

Cloudera is a broad, full-stack hybrid data platform, including ingestion (NiFi/DataFlow), storage, processing, ML tooling, and governance, which makes it powerful but heavy to operate.

Zetaris’s is “zero copy”, querying at the source and only creating lakehouse storage where it is strategically needed, which directly attacks ETL sprawl and egress spend.​


 

Cloudera historically centered on bringing data into its own environment; even with zero‑copy analytics, the platform still leans on pipelines like NiFi/DataFlow and integrated lakehouse storage as the organizing hub.

 

Zetaris uses multi‑engine smart routing and a more minimal control plane to reduce compute cost (up to 60% savings claimed) and simplify operations, so teams can modernize without running a huge platform stack.



 

Cloudera offers automation, but the breadth of services, engines and management components can create significant operational overhead for clusters, upgrades and security, especially in large hybrid estates.

 

Central governance layer with row/column policies, federated semantic layer.

 

SDX for security, access control, lineage, unified endpoint

 

Zetaris is the “Modern Lakehouse for AI” and “AI‑native architecture”, with emphasis on training, inference and governance across structured, unstructured and streaming data as first‑class use cases.

Spark‑based core with Spark, Trino, Presto, DuckDB smart‑routed for AI workloads

 

Cloudera has evolved from Hadoop to a hybrid AI platform, enabling ML and agentic AI anywhere but built on a legacy of BI‑oriented architectures and many separate services stitched together.

Spark, Hive, Impala, Flink, Trino for analytics/ML/AI

 

Zetaris can connect directly to existing Cloudera environments, let you run federated queries and build a virtual lakehouse, and then retire Cloudera clusters incrementally rather than in a big‑bang migration.

 

 

Cloudera is often seen as the destination platform you migrate to and standardize on, which can require large re‑platforming projects and consolidation into CDP.