Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Doris provides batch data loading and real-time mini-batch data loading. It provides high availability, reliability, fault tolerance, and scalability. Its original name was Palo, developed in Baidu. 
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<ul><li>Uses MySQL protocol to communicate. Users can connect to Doris cluster through MySQL client or MySQL JDBC</li><li>Support standard SQL language, compatible with MySQL protocol</li><li>Vectorized SQL executor</li><li>Getting result of a query within one second</li><li>Rollup, novel pre-computation mechanism
</li><li>Effective data model for aggregation</li><li>High performance, high availability, high reliability</li><li>Easy for operation, Elastic data warehouse for big data</li></ul>

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Doris provides batch data loading and real-time mini-batch data loading. It provides high availability, reliability, fault tolerance, and scalability. Its original name was Palo, developed in Baidu. 

Apache Doris -  A fast MPP database for all modern analytics on big data

Apache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop. Tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and ETL (extract-transform-load process) on large-data sets stored on HDFS (Hadoop Distributed File System) and other data sources. 
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By supporting SQL standards and leveraging advanced database techniques, Tajo allows direct control of distributed execution and data flow across a variety of query evaluation strategies and optimization opportunities.

Apache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop. Tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and ETL (extract-transform-load process) on large-data sets stored on HDFS (Hadoop Distributed File System) and other data sources. 

Apache Tajo - A big data warehouse system on Hadoop

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more). 
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AsterixDB can exploit its knowledge of data partitioning and the availability of indexes to avoid always scanning data set(s) to process queries 

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more). 

AsterixDB -  Big Data Management System (BDMS)

Apache VXQuer will be a standards compliant XML Query processor implemented in Java. The focus is on the evaluation of queries on large amounts of XML data. Specifically the goal is to evaluate queries on large collections of relatively small XML documents. To achieve this queries will be evaluated on a cluster of shared nothing machines. However there are no XQuery processors available today that are capable of processing these datasets in parallel and making the contained information accessible.

Apache VXQuer will be a standards compliant XML Query processor implemented in Java. The focus is on the evaluation of queries on large amounts of XML data. Specifically the goal is to evaluate queries on large collections of relatively small XML documents. To achieve this queries will be evaluated on a cluster of shared nothing machines. 

VXQuery - Query XML Data

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Apache Doris - A fast MPP database for all modern analytics on big data

Apache Tajo - A big data warehouse system on Hadoop

AsterixDB - Big Data Management System (BDMS)

VXQuery - Query XML Data

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Projects

Apache Doris - A fast MPP database for all modern analytics on big data

Apache Tajo - A big data warehouse system on Hadoop

AsterixDB - Big Data Management System (BDMS)

VXQuery - Query XML Data

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