DBMS > Apache Phoenix vs. Google BigQuery vs. Trafodion
System Properties Comparison Apache Phoenix vs. Google BigQuery vs. Trafodion
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|Editorial information provided by DB-Engines|
|Name||Apache Phoenix Xexclude from comparison||Google BigQuery Xexclude from comparison||Trafodion Xexclude from comparison|
|Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.|
|Description||A scale-out RDBMS with evolutionary schema built on Apache HBase||Large scale data warehouse service with append-only tables||Transactional SQL-on-Hadoop DBMS|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Developer||Apache Software Foundation||Apache Software Foundation, originally developed by HP|
|Current release||5.0-HBase2, July 2018 and 4.15-HBase1, December 2019||2.3.0, February 2019|
|License Commercial or Open Source||Open Source Apache Version 2.0||commercial||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
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|Implementation language||Java||C++, Java|
|Server operating systems||Linux|
|Data scheme||yes late-bound, schema-on-read capabilities||yes||yes|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|SQL Support of SQL||yes||yes||yes|
|APIs and other access methods||JDBC||RESTful HTTP/JSON API||ADO.NET|
|Supported programming languages||C|
|All languages supporting JDBC/ODBC/ADO.Net|
|Partitioning methods Methods for storing different data on different nodes||Sharding||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|yes, via HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||Hadoop integration||no||yes via user defined functions and HBase|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no Since BigQuery is designed for querying data||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||no|
|User concepts Access control||Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||fine grained access rights according to SQL-standard|
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|Apache Phoenix||Google BigQuery||Trafodion|
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