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DBMS > Adabas vs. BoltDB vs. MariaDB vs. OmniSci

System Properties Comparison Adabas vs. BoltDB vs. MariaDB vs. OmniSci

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBoltDB  Xexclude from comparisonMariaDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn embedded key-value store for Go.MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelMultivalue DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.77
Rank#79  Overall
#1  Multivalue DBMS
Score0.56
Rank#228  Overall
#33  Key-value stores
Score102.19
Rank#12  Overall
#8  Relational DBMS
Score1.47
Rank#143  Overall
#70  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­boltdb/­boltmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
github.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationmariadb.com/­kb/­en/­librarydocs.omnisci.com
DeveloperSoftware AGMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MapD Technologies, Inc.
Initial release1971201320092016
Current release10.6.5, November 20215.6, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SkySQL (The Ultimate MariaDB Cloud): The first and only DBaaS to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation.
Implementation languageGoC and C++C++ and CUDA
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
Data schemeyesschema-freeyes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infowith proprietary extensionsyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Thrift
Vega
Supported programming languagesNaturalGoAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresin Naturalnoyes infoPL/SQL compatibility added with version 10.3no
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanoneseveral options for horizontal partitioning and ShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infowith MEMORY storage engineyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"BoltDBMariaDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB has many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more

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More resources
Adabas infodenotes "adaptable data base"BoltDBMariaDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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