DBMS > Hive vs. Hypertable vs. Postgres-XL
System Properties Comparison Hive vs. Hypertable vs. Postgres-XL
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|Editorial information provided by DB-Engines|
|Name||Hive Xexclude from comparison||Hypertable Xexclude from comparison||Postgres-XL Xexclude from comparison|
|Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.|
|Description||data warehouse software for querying and managing large distributed datasets, built on Hadoop||An open source BigTable implementation based on distributed file systems such as Hadoop||Based on PostgreSQL enhanced with MPP and write-scale-out cluster features|
|Primary database model||Relational DBMS||Wide column store||Relational DBMS|
|Secondary database models||Document store|
|Developer||Apache Software Foundation initially developed by Facebook||Hypertable Inc.|
|Initial release||2012||2009||2014 since 2012, originally named StormDB|
|Current release||3.1.3, April 2022||0.9.8.11, March 2016||10 R1, October 2018|
|License Commercial or Open Source||Open Source Apache Version 2||Open Source GNU version 3. Commercial license available||Open Source Mozilla public license|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM||Linux|
Windows an inofficial Windows port is available
|Typing predefined data types such as float or date||yes||no||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.||yes XML type, but no XML query functionality|
|Secondary indexes||yes||restricted only exact value or prefix value scans||yes|
|SQL Support of SQL||SQL-like DML and DDL statements||no||yes distributed, parallel query execution|
|APIs and other access methods||JDBC|
native C library
streaming API for large objects
|Supported programming languages||C++|
|Server-side scripts Stored procedures||yes user defined functions and integration of map-reduce||no||user defined functions|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor||selectable replication factor on file system level|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes query execution via MapReduce||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||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||no||no||ACID MVCC|
|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.||no|
|User concepts Access control||Access rights for users, groups and roles||no||fine grained access rights according to SQL-standard|
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