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DBMS > HBase vs. OpenEdge vs. Riak KV vs. Spark SQL vs. Trafodion

System Properties Comparison HBase vs. OpenEdge vs. Riak KV vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonOpenEdge  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableApplication development environment with integrated database management systemDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelWide column storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitehbase.apache.orgwww.progress.com/­openedgespark.apache.org/­sqltrafodion.apache.org
Technical documentationhbase.apache.org/­book.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetProgress Software CorporationOpenSource, formerly Basho TechnologiesApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20081984200920142014
Current release2.3.4, January 2021OpenEdge 12.2, March 20203.2.0, December 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangScalaC++, Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Linux
OS X
Windows
Linux
Data schemeschema-free, schema definition possibleyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyesyes
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.noyesnonono
Secondary indexesnoyesrestrictednoyes
SQL infoSupport of SQLnoyes infoclose to SQL 92noSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
HTTP API
Native Erlang Interface
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Progress proprietary ABL (Advanced Business Language)C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoCoprocessors in JavayesErlangnoJava Stored Procedures
Triggersyesyesyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Sharding infono "single point of failure"yes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factornoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and groupsyes, using Riak Securitynofine grained access rights according to SQL-standard

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More resources
HBaseOpenEdgeRiak KVSpark SQLTrafodion
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