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DBMS > Adabas vs. Apache IoTDB vs. Atos Standard Common Repository vs. Badger vs. BigchainDB

System Properties Comparison Adabas vs. Apache IoTDB vs. Atos Standard Common Repository vs. Badger vs. BigchainDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assets
Primary database modelMultivalue DBMSTime Series DBMSDocument store
Key-value store
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dgraph-io/­badgerwww.bigchaindb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latest
DeveloperSoftware AGApache Software FoundationAtos Convergence CreatorsDGraph Labs
Initial release19712018201620172016
Current release1.1.0, April 20231703
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL v3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoPython
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)LinuxBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalnono
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.nonoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languagenonono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
Native API
LDAPCLI Client
RESTful HTTP API
Supported programming languagesNaturalC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsGoGo
Haskell
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresin Naturalyesnono
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes,with MongoDB ord RethinkDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesLDAP bind authenticationnoyes

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBAtos Standard Common RepositoryBadgerBigchainDB
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