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DBMS > Adabas vs. Apache Impala vs. Atos Standard Common Repository vs. Hypertable vs. WakandaDB

System Properties Comparison Adabas vs. Apache Impala vs. Atos Standard Common Repository vs. Hypertable vs. WakandaDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHypertable  Xexclude from comparisonWakandaDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn open source BigTable implementation based on distributed file systems such as HadoopWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelMultivalue DBMSRelational DBMSDocument store
Key-value store
Wide column storeObject oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywakanda.github.io
Technical documentationimpala.apache.org/­impala-docs.htmlwakanda.github.io/­doc
DeveloperSoftware AGApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsHypertable Inc.Wakanda SAS
Initial release19712013201620092012
Current release4.1.0, June 202217030.9.8.11, March 20162.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalnoyes
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.nonoyesno
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like DML and DDL statementsnonono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
LDAPC++ API
Thrift
RESTful HTTP API
Supported programming languagesNaturalAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresin Naturalyes infouser defined functions and integration of map-reducenonoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factoryesselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsnoACID
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.nonoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationnoyes

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More resources
Adabas infodenotes "adaptable data base"Apache ImpalaAtos Standard Common RepositoryHypertableWakandaDB
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