Apache Hadoop

NOAWARDS
YET
Pricing:
Starting from $0.3226
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Self-service data visualizations
- Automated data preparation
- Instant insights
- Embedded analytics
- Predictive analytics
- Mobile analytics
- Collaboration and publishing
- Built-in ML- and AI-powered analytics
Pricing Info
Pricing Info
Oracle Analytics offers OCPU (Oracle Compute Unit) per hour pricing. Give the details a look, and choose the best plan for your business.
Standard – BYOL – $0.3226 OCPU Per Hour
Enterprise – BYOL – $0.3226 OCPU Per Hour
Standard – $1.0753 OCPU Per Hour
Enterprise – $2.1506 OCPU Per Hour
Integrations
Integrations
Oracle Analytics integrates with Oracle Fusion and non-Fusion SaaS apps such as Oracle SaaS Data.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hertz, Skanska, Western Alliance
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
Oracle Analytics streamlines data discovery as well as self-service analytics without sacrificing accuracy and speed. Equipped with machine learning and artificial intelligence, this solution not only allows you to gain real-time insights into your operations but also make your business decision-making process more agile.
Company Email
Contact No.
Company's Address
Oracle Corporation
500 Oracle Parkway Redwood Shores,
CA 94065
USA
Oracle Analytics Comparisons
Popular Oracle Analytics Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Distributed Processing of Large Data Sets
- Eliminates Reliance on Hardware to Deliver High-Availability
- Scalability
- Can Scale Up From Single Servers to Thousands of Machines
- Reliable Distributed File Systems
- Divides Large Data Files into Sequential Blocks
- Distributes Blocks of Files Across Clusters
- Fault-Tolerance Capability that Replicates Blocks of Files
- Map/Reduce Distributed Parallel Computing Framework
- Utilizes the Cluster Management and Job Scheduling Features of Apache YARN
- Master/Slave Architecture
- Re-Distribution and Re-Execution of Computation Operations/Tasks
Pricing Info
Apache Hadoop is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, production, commercial, or open source development purposes for free. Thus, you can use Apache Hadoop with no enterprise pricing plan to worry about.
Integrations
Apache Hadoop integrates with the following open source projects and solutions from The Apache Software Foundation and third-party file systems:
- Ambari
- Avro
- Cassandra
- Chukwa
- HBase
- Hive
- Mahout
- Pig
- Spark
- Tez
- ZooKeeper
- YARN
- Amazon S3
- Azure Blob Storage
- OpenStack Swift
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hortonworks, Inc., Uber Technologies, Inc., McKinsey & Company
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.
Company Email
apache@apache.org
Contact No.
Company's Address
The Apache Software Foundation
401 Edgewater Place, Suite 600
Wakefield, MA 01880
U.S.A.
Apache Hadoop Comparisons
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Both Oracle Analytics and Apache Hadoop were reviewed by a team of independent B2B experts who carried out a detailed study of all key elements of each software. Their ultimate score was prepared using our unique SmartScore system that gives a separate partial score to every component such as: main features, customer support, mobile device support, security, user satisfaction as well as reviews in other media. We know useful features are not the only aspect essential to a business so we make an effort to pay attention to all sides of a product prior to calculating its final score.
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