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DBMS > Adabas vs. Apache Druid vs. H2 vs. Netezza

System Properties Comparison Adabas vs. Apache Druid vs. H2 vs. Netezza

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonH2  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgwww.h2database.comwww.ibm.com/­products/­netezza
Technical documentationdruid.apache.org/­docs/­latest/­designwww.h2database.com/­html/­main.html
DeveloperSoftware AGApache Software Foundation and contributorsThomas MuellerIBM
Initial release1971201220052000
Current release29.0.1, April 20242.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
All OS with a Java VMLinux infoincluded in appliance
Data schemeyesyes infoschema-less columns are supportedyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingyesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresin NaturalnoJava Stored Procedures and User-Defined Functionsyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Adabas infodenotes "adaptable data base"Apache DruidH2Netezza infoAlso called PureData System for Analytics by IBM
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