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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Apache Trafodion serves as a webscale SQL-on-Hadoop solution that facilitates transactional or operational processes within the Apache Hadoop ecosystem. By leveraging the inherent scalability, elasticity, and flexibility of Hadoop, Trafodion enhances its capabilities to ensure transactional integrity, which opens the door for a new wave of big data applications to operate seamlessly on Hadoop. The platform supports the full ANSI SQL language, allowing for JDBC/ODBC connectivity suitable for both Linux and Windows clients. It provides distributed ACID transaction protection that spans multiple statements, tables, and rows, all while delivering performance enhancements specifically designed for OLTP workloads through both compile-time and run-time optimizations. Trafodion is also equipped with a parallel-aware query optimizer that efficiently handles large datasets, enabling developers to utilize their existing SQL knowledge and boost productivity. Furthermore, its distributed ACID transactions maintain data consistency across various rows and tables, making it interoperable with a wide range of existing tools and applications. This solution is neutral to both Hadoop and Linux distributions, providing a straightforward integration path into any existing Hadoop infrastructure. Thus, Apache Trafodion not only enhances the power of Hadoop but also simplifies the development process for users.

Description

The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS DataSync No 
AnalyticsCreator No 
Apache Flink No 
Apache Kylin No 
Apache Trafodion No 
CloudSwyft No 
Datametica No 
DreamFactory No 
Gurucul No 
Hosting UK No 
Huawei Cloud Data Lake Governance Center No 
Hyper Historian No 
Hypertable No 
IBM Db2 Big SQL No 
IBM DevOps Deploy No 
Mage Platform No 
Red Hat JBoss Data Virtualization No 
Scalytics Connect No 
Semarchy xDI No 
Span Global Services No 

Integrations

AWS DataSync Yes 
AnalyticsCreator Yes 
Apache Flink Yes 
Apache Kylin Yes 
Apache Trafodion Yes 
CloudSwyft Yes 
Datametica Yes 
DreamFactory Yes 
Gurucul Yes 
Hosting UK Yes 
Huawei Cloud Data Lake Governance Center Yes 
Hyper Historian Yes 
Hypertable Yes 
IBM Db2 Big SQL Yes 
IBM DevOps Deploy Yes 
Mage Platform Yes 
Red Hat JBoss Data Virtualization Yes 
Scalytics Connect Yes 
Semarchy xDI Yes 
Span Global Services Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

trafodion.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hadoop.apache.org

Product Features

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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