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DBMS > Adabas vs. Apache Phoenix vs. EsgynDB vs. Ingres vs. Riak KV

System Properties Comparison Adabas vs. Apache Phoenix vs. EsgynDB vs. Ingres vs. Riak KV

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonIngres  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWell established RDBMSDistributed, fault tolerant key-value store
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlphoenix.apache.orgwww.esgyn.cnwww.actian.com/­databases/­ingres
Technical documentationphoenix.apache.orgdocs.actian.com/­ingreswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperSoftware AGApache Software FoundationEsgynActian CorporationOpenSource, formerly Basho Technologies
Initial release1971201420151974 infooriginally developed at University Berkely in early 1970s2009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.2, May 20223.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaCErlang
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Unix
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesrestricted
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyesyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Native Erlang Interface
Supported programming languagesNaturalC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC 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
Server-side scripts infoStored proceduresin Naturaluser defined functionsJava Stored ProceduresyesErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersIngres Replicatorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes, using Riak Security

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More resources
Adabas infodenotes "adaptable data base"Apache PhoenixEsgynDBIngresRiak KV
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