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DBMS > Adabas vs. Amazon DocumentDB vs. Apache IoTDB vs. SpaceTime vs. SQream DB

System Properties Comparison Adabas vs. Amazon DocumentDB vs. Apache IoTDB vs. SpaceTime vs. SQream DB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkSpaceTime is a spatio-temporal DBMS with a focus on performance.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelMultivalue DBMSDocument storeTime Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­documentdbiotdb.apache.orgwww.mireo.com/­spacetimesqream.com
Technical documentationaws.amazon.com/­documentdb/­resourcesiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.sqream.com
DeveloperSoftware AGApache Software FoundationMireoSQream Technologies
Initial release19712019201820202017
Current release1.1.0, April 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAll OS with a Java VM (>= 1.8)LinuxLinux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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.nononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query languageA subset of ANSI SQL is implementedyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
proprietary protocol using JSON (MongoDB compatible)JDBC
Native API
RESTful HTTP API.Net
JDBC
ODBC
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
Python
Scala
C#
C++
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturalnoyesnouser defined functions in Python
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Fixed-grid hypercubeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Integration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnonoACID
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.noyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesyesyes

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More resources
Adabas infodenotes "adaptable data base"Amazon DocumentDBApache IoTDBSpaceTimeSQream DB
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