Apache Hadoop
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
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
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
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
Popular Apache Hadoop Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Integration
- Built-in Connectors
- Multiple Vendors & Clouds
- Structured & Unstructured Data
- Data Curation
- Preparation Studio
- Logical & Business Data Modeling
- Task Scheduling
- Data Governance
- Discovery & Cataloging
- Metadata Handling
- Data Quality
- Data Lineage Reporting
- Data Stewardship
- Data Consumption
- Analytics & Dashboards
Pricing Info
SCIKIQ’s enterprise pricing plan details are available only upon request. It also has community editions that allow users to access and leverage the technologies and capabilities provided by various third-party platforms and software vendors without paying for separate, extra licenses.
Integrations
SCIKIQ integrates with:
- Oracle
- PostgreSQL
- MySQL
- SQL Server
- DB2
- Teradata
- Kafka
- Webhook
- SAP Hana
- SAP App Server
- Dropbox
- S3
- Snowflake
- Debezium
- Hadoop
- SFDC
- Salesforce
- Parquet
- ORC
- Avro
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Allcargo Logistics, Vestige, PCBB
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
SCIKIQ is a Forrester-honored data management solution that lets you unlock and gain from the potentialities of your business data by augmenting data integration, preparation, analysis, and governance with AI and automation.
Company Email
enquiry@scikiq.com
Contact No.
Company's Address
SCIkIQ
1st Floor, Tower-A, Millennium Plaza, Sushant Lok Phase I, Sector 27, Gurugram, Haryana 122001
India
SCIKIQ Comparisons
Popular SCIKIQ Alternatives
No Data Analytics Software will be able to solve all the needs of a business. Even though core functionalities of Apache Hadoop and SCIKIQ are important you should also carefully examine the integrations offered by a given app. Very often your team will already be working with some other B2B software in your company and it’s definitely better to opt for apps that integrate well with each other. With that approach you will be able to guarantee a reliable transfer of data between your teams and software used, which can significantly reduce time wasted on migrating between one solution and the next.
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