Audience
Businesses and data teams needing a solution offering self-service analytics across heterogeneous data and cloud environments
About Cloudera Data Warehouse
Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data.
Other Popular Alternatives & Related Software
VeloDB
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale.
Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries.
Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases.
Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements.
Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.
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Teradata VantageCloud
Teradata VantageCloud: The complete cloud analytics and data platform for AI.
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Cloudera Data Visualization
Easily create rich, interactive dashboards that accelerate analytical insights across your enterprise.
Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle—from data ingest to data insights and beyond. Delivered natively as part of Cloudera, Data Visualization delivers a consistent and easy-to-use data visualization experience with intuitive and accessible drag-and-drop dashboards and custom application creation.
Data Visualization is fully secured by SDX, enabling augmented data workflows across all your data and analytic workflows. Build predictive applications from ML models served in Cloudera Machine Learning, or leverage your data warehouse to power fast intelligent reporting without moving data or using third-party tools.
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Apache Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
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Pricing
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Company Information
Cloudera
Founded: 2008
United States
www.cloudera.com/products/data-warehouse.html
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
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Support
Phone Support
Online
Cloudera Data Warehouse Frequently Asked Questions
Q: What kinds of users and organization types does Cloudera Data Warehouse work with?
Cloudera Data Warehouse works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Cloudera Data Warehouse support in their product?
Cloudera Data Warehouse supports these languages: English.
Q: What kind of support options does Cloudera Data Warehouse offer?
Cloudera Data Warehouse offers support via phone support and online.
Q: What other applications or services does Cloudera Data Warehouse integrate with?
Cloudera Data Warehouse integrates with: Apache Druid, Apache Hive, Apache Impala, Apache Kudu, Amazon Web Services (AWS), Microsoft Azure, Hue, and SQL.
Q: What type of training does Cloudera Data Warehouse provide?
Cloudera Data Warehouse provides training in the form of documentation, live online, webinars, in person, and videos.
Q: Does Cloudera Data Warehouse offer a free trial?
Yes, Cloudera Data Warehouse offers a free trial.
