The Cloudera alternative
Looking for a Cloudera alternative?
Zetaris is the AI lakehouse that replaces Cloudera's complex, centralized stack. Query your data where it lives, cut the ETL pipelines, and lower cloud costs, with real-time AI-ready access across every source and no rip-and-replace migration.
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Multi-engine intelligence
Spark, Trino, Presto and 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
Cut spend by removing ETL, reducing management overhead, and optimizing every workload.
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Why switch
Reasons to make the switch to Zetaris
Move off Cloudera's heavy platform stack without a rip-and-replace.
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Query-in-place by design
Query data where it lives. No duplication. No central cluster to ingest into.
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Multi-engine smart routing
Spark, Trino, Presto, DuckDB, the right engine for every job, automatically.
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AI-native architecture
Built for AI-speed from the ground up, not retrofitted BI.
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Open & sovereign
Deploy anywhere. Stay compliant. Keep control.
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Real-time, every time
Batch and streaming combined for sub-second AI responses.
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Secure by default
Governance, encryption, and role-based controls, audit-ready.
Compare the pair, and discover the Zetaris difference
Zetaris is a networked data platform and AI lakehouse that sits across your existing systems. It queries data in place and unifies it through a single semantic layer and AI-ready data products, instead of replacing every layer.
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 is zero-copy: it queries at the source and only creates lakehouse storage where it is strategically needed, which directly cuts ETL sprawl and egress spend.
Cloudera has historically centered on bringing data into its own environment; even with zero-copy analytics, it still leans on pipelines like NiFi / DataFlow and integrated lakehouse storage as the organizing hub.
Zetaris uses multi-engine smart routing and a minimal control plane to cut compute cost by up to 60% 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.
Zetaris governs at a single control point: row and column-level policies and a unified semantic layer across every connected system.
Cloudera uses SDX for security, access control, lineage and a unified endpoint.
Zetaris is the modern lakehouse for AI, with an AI-native architecture that treats training, inference and governance across structured, unstructured and streaming data as first-class use cases. A Spark-based core smart-routes Spark, Trino, Presto and DuckDB for AI workloads.
Cloudera has evolved from Hadoop to a hybrid AI platform, enabling ML and AI anywhere, but built on a legacy of BI-oriented architecture and many separate services stitched together (Spark, Hive, Impala, Flink, Trino).
Zetaris connects directly to your existing Cloudera environment, lets you query across it and build an open lakehouse, then retires Cloudera clusters incrementally rather than in a big-bang migration.
Cloudera is often the destination platform you migrate to and standardize on, which can mean large re-platforming projects and consolidation into CDP.
Find out what Zetaris can do for your organization
Tell us about your data stack and goals. We will map the switch from Cloudera and show query-in-place on your live data.