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DBMS > Adabas vs. Amazon DocumentDB vs. Galaxybase vs. HEAVY.AI vs. Lovefield

System Properties Comparison Adabas vs. Amazon DocumentDB vs. Galaxybase vs. HEAVY.AI vs. Lovefield

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  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 serviceScalable, ACID-compliant native distributed parallel graph platformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScript
Primary database modelMultivalue DBMSDocument storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score1.91
Rank#124  Overall
#22  Document stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­documentdbgalaxybase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefield
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperSoftware AGChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司HEAVY.AI, Inc.Google
Initial release19712019201720162014
Current releaseNov 20, November 20215.10, January 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC++ and CUDAJavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeStrong typed schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynonoyesSQL-like query language infovia JavaScript builder pattern
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)Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
Thrift
Vega
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresin Naturalnouser defined procedures and functionsnono
TriggersnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardingSharding infoRound robinnone
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 replicasMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDB
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardno

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More resources
Adabas infodenotes "adaptable data base"Amazon DocumentDBGalaxybaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Lovefield
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