Apache Hadoop
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Data capturing and storing
- Data integration between apps and DBs
- Analytic query engine
- Hybrid Transactional & Analytic Relational DB
- NoSQL Object Database
- Zen Embedded DB
- Rapid App Development
- DataCloud Backup for Actian X
- Data extraction, analysis and transformation
- Cloud-based data integration with data and apps
- On-premises data integration
- Fully managed B2B integration as a service
- Point-to-point integration
- Vector SMP analytics DB
- Vector in Hadoop
- Vector for cloud
Pricing Info
Integrations
Integrations
Actian’s products integrate with a variety of databases and other systems. Accurate information about integration of specific products with other systems is available from official support.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Bloomberg, citi, HSBC
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
Data management, data integration and analytics database solutions designed to deliver significantly better performance than the competition.
Company Email
info@actian.com
Contact No.
Company's Address
Actian Corporation
2300 Geng Rd., Suite 150
Palo Alto, CA 94303
USA
Actian Comparisons
Popular Actian 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
Popular Apache Hadoop Alternatives
It may not always be sufficient to simply compare Actian and Apache Hadoop with one another. While reliable tools, cost and customer experience are all important and should be taken into account when making a final decision, you should also check out the recognition and awards merited by each solution. In many cases a less known product may turn out to be an amazing choice that was distinguished with B2B awards such as our Great User Experience Award which shows that in spite of lesser market popularity it’s a worthy contender to the services that rule the market.
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