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DBMS > EventStoreDB vs. Hive vs. Trafodion

System Properties Comparison EventStoreDB vs. Hive vs. Trafodion

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHive  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.data warehouse software for querying and managing large distributed datasets, built on HadoopTransactional SQL-on-Hadoop DBMS
Primary database modelEvent StoreRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#193  Overall
#1  Event Stores
Score72.12
Rank#17  Overall
#11  Relational DBMS
Score0.64
Rank#256  Overall
#120  Relational DBMS
Websitewww.eventstore.comhive.apache.orgtrafodion.apache.org
Technical documentationdevelopers.eventstore.comcwiki.apache.org/­confluence/­display/­Hive/­Hometrafodion.apache.org
DeveloperEvent Store LimitedApache Software Foundation infoinitially developed by FacebookApache Software Foundation, originally developed by HP
Initial release201220122014
Current release21.2, February 20213.1.3, April 20222.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemsLinux
Windows
All OS with a Java VMLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
EventStoreDBHiveTrafodion
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