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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Apache Druid
Apache Hive
Apache Impala
Apache Kudu
Gravity Data
Hue
Microsoft Azure
NVIDIA RAPIDS
Oracle Audience Segmentation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Digital Assistant
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification
Oracle Unity Customer Data Platform
SQL

Integrations

Amazon Web Services (AWS)
Apache Druid
Apache Hive
Apache Impala
Apache Kudu
Gravity Data
Hue
Microsoft Azure
NVIDIA RAPIDS
Oracle Audience Segmentation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Digital Assistant
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification
Oracle Unity Customer Data Platform
SQL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

www.cloudera.com/products/data-warehouse.html

Vendor Details

Company Name

Kinetica

Founded

2009

Country

United States

Website

www.kinetica.com

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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