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Description
Apache Accumulo enables users to efficiently store and manage extensive data sets across a distributed cluster. It relies on Apache Hadoop's HDFS for data storage and utilizes Apache ZooKeeper to achieve consensus among nodes. While many users engage with Accumulo directly, it also serves as a foundational data store for various open-source projects. To gain deeper insights into Accumulo, you can explore the Accumulo tour, consult the user manual, and experiment with the provided example code. Should you have any inquiries, please do not hesitate to reach out to us. Accumulo features a programming mechanism known as Iterators, which allows for the modification of key/value pairs at different stages of the data management workflow. Each key/value pair within Accumulo is assigned a unique security label that restricts query outcomes based on user permissions. The system operates on a cluster configuration that can incorporate one or more HDFS instances, providing flexibility as data storage needs evolve. Additionally, nodes within the cluster can be dynamically added or removed in response to changes in the volume of data stored, enhancing scalability and resource management.
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.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
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 Corporation
Founded
1954
Country
United States
Website
accumulo.apache.org
Vendor Details
Company Name
Apache Software Foundation
Country
United States
Website
trafodion.apache.org
