Audience
Data engineers, analysts, and enterprises looking to unify data lakes and warehouses into a scalable, secure, and efficient data management platform
About Google Cloud Lakehouse
Google Cloud Lakehouse is a storage engine designed to unify data warehouses and data lakes into a single, cohesive platform. It allows organizations to access and manage data in open formats such as Apache Iceberg, Parquet, and ORC. The platform enables users to work with a single copy of data without needing to duplicate or move it across systems. It provides fine-grained security controls to ensure proper data governance and access management. Google Cloud Lakehouse simplifies data operations by integrating analytics and storage capabilities. It supports modern data workflows, including big data processing and analytics. The platform is built to scale with enterprise data needs while maintaining performance and flexibility. Overall, it helps organizations streamline data management and unlock insights more efficiently.
Other Popular Alternatives & Related Software
Snowflake
Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.
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Amazon Redshift
More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain new insights from all your data. With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. Redshift lets you easily save the results of your queries back to your S3 data lake using open formats like Apache Parquet to further analyze from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. Redshift is the world’s fastest cloud data warehouse and gets faster every year. For performance intensive workloads you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.
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IOMETE
IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control.
Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual.
Included in one platform:
- Data Lakehouse(s)
- Data Catalog
- SQL Editor
- Apache Spark Jobs
- ML Notebooks
- Orchestration Engine
- Spark Connect
Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible.
Transparent pricing — CPU-based, no per-query fees, no billing surprises.
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Archon Data Store
Archon Data Store is a next-generation enterprise data archiving platform designed to help organizations manage rapid data growth, reduce legacy application costs, and meet global compliance standards. Built on a modern Lakehouse architecture, Archon Data Store unifies data lakes and data warehouses to deliver secure, scalable, and analytics-ready archival storage.
The platform supports on-premise, cloud, and hybrid deployments with AES-256 encryption, audit trails, metadata governance, and role-based access control. Archon Data Store offers intelligent storage tiering, high-performance querying, and seamless integration with BI tools. It enables efficient application decommissioning, cloud migration, and digital modernization while transforming archived data into a strategic asset. With Archon Data Store, organizations can ensure long-term compliance, optimize storage costs, and unlock AI-driven insights from historical data.
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Pricing
Starting Price:
$5 per TB
Free Trial:
Free Trial available.
Company Information
Google
Founded: 1998
United States
docs.cloud.google.com/lakehouse/docs
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