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DBMS > Adabas vs. Badger vs. LeanXcale vs. Realm vs. VoltDB

System Properties Comparison Adabas vs. Badger vs. LeanXcale vs. Realm vs. VoltDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBadger  Xexclude from comparisonLeanXcale  Xexclude from comparisonRealm  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelMultivalue DBMSKey-value storeKey-value store
Relational DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­dgraph-io/­badgerwww.leanxcale.comrealm.iowww.voltdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerrealm.io/­docsdocs.voltdb.com
DeveloperSoftware AGDGraph LabsLeanXcaleRealm, acquired by MongoDB in May 2019VoltDB Inc.
Initial release19712017201520142010
Current release11.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X infofor development
Data schemeyesschema-freeyesyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infothrough Apache Derbynoyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesNaturalGoC
Java
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresin Naturalnono inforuns within the applications so server-side scripts are unnecessaryJava
Triggersnonoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noyesUsers and roles with access to stored procedures

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