Federated by Design.
Query data where it lives. No duplication. No egress fees.
Multi-Engine Smart Routing.
Spark, Trino, Presto, DuckDB – the right engine for every job, automatically.
AI-Native Architecture.
Built for AI-speed from the ground up, not retrofitted BI.
Open & Sovereign.
Deploy anywhere. Stay compliant. Keep control.
Real-Time, Every Time.
Batch and streaming combined for sub-second AI responses.
Secure by Default.
Enterprise-grade governance, encryption, and role-based controls ensure your data stays safe, compliant, and audit-ready at every step
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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.
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SAP IQ is a specialized column‑oriented data warehouse and HANA is a full in‑memory database platform that converges OLTP and OLAP, designed to be the central system of record and analytics for SAP workloads.
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.
IQ/HANA implementations typically rely on ETL or replication to load data into SAP schemas; performance is best when data is physically inside the IQ/HANA cluster, which drives data duplication and tight coupling to SAP tooling
Zetaris uses a federated Spark runtime and multi‑engine routing to cut compute cost by up to 60%, and avoids building and running another massive centralized warehouse, reducing TCO to roughly a third of legacy central‑lake models
Significant license, hardware and operations cost, especially when used as the central store for large DWs and real‑time workloads at scale
Governance at a single control point: row/column‑level policies, encryption and a unified semantic layer across all connected systems.
LDAP/role‑based controls, encryption and administration within the SAP stack; governance is per database landscape
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
Primarily for transactional and reporting use cases in the SAP application ecosystem rather than for multi‑cloud, multi‑format AI
Zetaris can connect directly to existing SAP IQ and HANA environments, let you run federated queries and build a virtual lakehouse, and then retire IQ/HANA workloads progressively as you stand up open lakehouse storage
Moving from IQ/HANA to another platform usually means heavy ETL, data model rewrites and risk of disrupting SAP‑centric reporting; many teams postpone modernization because of this migration pain