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DBMS > Hive vs. IBM Db2 Event Store vs. Lovefield vs. RDF4J

System Properties Comparison Hive vs. IBM Db2 Event Store vs. Lovefield vs. RDF4J

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScriptRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitehive.apache.orgwww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefieldrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrdf4j.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookIBMGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201720142004
Current release3.1.3, April 20222.02.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaScriptJava
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Unix
Windows
Data schemeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoyes
TriggersnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnono

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More resources
HiveIBM Db2 Event StoreLovefieldRDF4J infoformerly known as Sesame
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