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Average Ratings 0 Ratings
Description
Cloudera Data Warehouse is a cloud-native, self-service analytics platform designed to empower IT departments to quickly provide query functionalities to BI analysts, allowing users to transition from no query capabilities to active querying within minutes. It accommodates all forms of data, including structured, semi-structured, unstructured, real-time, and batch data, and it scales efficiently from gigabytes to petabytes based on demand. This solution is seamlessly integrated with various services, including streaming, data engineering, and AI, while maintaining a cohesive framework for security, governance, and metadata across private, public, or hybrid cloud environments. Each virtual warehouse, whether a data warehouse or mart, is autonomously configured and optimized, ensuring that different workloads remain independent and do not disrupt one another. Cloudera utilizes a range of open-source engines, such as Hive, Impala, Kudu, and Druid, along with tools like Hue, to facilitate diverse analytical tasks, which span from creating dashboards and conducting operational analytics to engaging in research and exploration of extensive event or time-series data. This comprehensive approach not only enhances data accessibility but also significantly improves the efficiency of data analysis across various sectors.
Description
DataSet offers dynamic, searchable real-time insights that can be stored indefinitely, either through DataSet-hosted solutions or customer-managed, cost-effective S3 storage options. It enables the rapid ingestion of structured, semi-structured, and unstructured data, creating an unlimited enterprise framework for live data queries, analytics, insights, and retention without adhering to rigid data schema requirements. This technology is favored by engineering, DevOps, IT, and security teams seeking to harness the full potential of their data. With sub-second query performance driven by a patented parallel processing architecture, users can operate more efficiently and effectively to enhance business decision-making processes. It can effortlessly handle hundreds of terabytes of data without the need for rebalancing nodes, storage management, or resource reallocation. The platform scales flexibly and limitlessly, while its cloud-native architecture enhances efficiency, reducing costs and maximizing output. Users benefit from a predictable cost structure that delivers unparalleled performance, ensuring that businesses can thrive in a data-driven landscape. Additionally, the ease of use and robust capabilities of the system empower organizations to focus on innovation rather than data management challenges.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Amazon S3
No
Apache Druid
Yes
Apache Hive
Yes
Apache Impala
Yes
Apache Kafka
No
Apache Kudu
Yes
Docker
No
Google Cloud Search
No
Hue
Yes
Integrations
Amazon Web Services (AWS)
Yes
Amazon S3
Yes
Apache Druid
No
Apache Hive
No
Apache Impala
No
Apache Kafka
Yes
Apache Kudu
No
Docker
Yes
Google Cloud Search
Yes
Hue
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$0.99 per GB per day
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Cloudera
Founded
2008
Country
United States
Website
www.cloudera.com/products/data-warehouse.html
Vendor Details
Company Name
DataSet
Founded
2011
Country
United States
Website
www.dataset.com
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No