Apache Trafodion

Apache Trafodion

Apache Trafodion is a powerful SQL-on-Hadoop solution designed for transactional and operational workloads. It seamlessly integrates with Hadoop, providing SQL access to structured, semi-structured, and unstructured data. With guaranteed transactional integrity and support for large datasets, Trafodion enhances existing infrastructures and enables the development of innovative big data applications.

Top Apache Trafodion Alternatives

1

rqlite

Rqlite is a lightweight, distributed relational database that merges the ease of SQLite with advanced fault tolerance and high availability.

From United States
2

Apache Accumulo

Apache Accumulo enables efficient storage and management of large data sets across clusters, leveraging Apache Hadoop's HDFS for data storage and ZooKeeper for consensus.

By: Apache Corporation From United States
3

Blazegraph

Blazegraphâ„¢ DB is an ultra high-performance graph database capable of supporting up to 50 billion edges on a single machine.

By: SYSTAP, LLC DBA Blazegraph From United States
4

FoundationDB

FoundationDB is a robust multi-model database that enables users to store diverse data types efficiently.

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5

Grakn

Grakn is a sophisticated distributed database designed to facilitate the creation of intelligent data applications.

By: Grakn Labs From United Kingdom
6

Oceanbase

OceanBase is a cutting-edge distributed database designed to handle mission-critical workloads with unparalleled performance and reliability.

By: OceanBase From China
7

AntDB

With over a decade of reliability in telecommunications, it supports over 1 billion subscribers across...

By: Antdb AsiaInfo From China
8

Nebula Graph

Its native graph engine guarantees exceptional QPS and TPS, while nGQL simplifies complex queries...

By: vesoft From China

Top Apache Trafodion Features

  • Transactional SQL support
  • Structured and unstructured data access
  • Operational and analytical workloads
  • Distributed ACID transaction protection
  • Full ANSI SQL language support
  • JDBC/ODBC client connectivity
  • Performance improvements for OLTP
  • Parallel-aware query optimization
  • Scalability and elasticity of Hadoop
  • Easy integration with existing Hadoop
  • Reuse existing SQL skills
  • Enhanced developer productivity
  • Interoperability with existing applications
  • Multi-statement transaction support
  • Data consistency across tables
  • Hadoop and Linux neutral
  • Webscale SQL-on-Hadoop solution
  • Support for large datasets
  • Guaranteed transactional integrity
  • New big data application support