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DBMS > Adabas vs. ArangoDB vs. Google Cloud Spanner vs. Realm

System Properties Comparison Adabas vs. ArangoDB vs. Google Cloud Spanner vs. Realm

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonArangoDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA multi-model DBMSA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelMultivalue DBMSDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.34
Rank#70  Overall
#1  Multivalue DBMS
Score4.87
Rank#64  Overall
#11  Document stores
#4  Graph DBMS
#12  Key-value stores
#7  Search engines
Score2.02
Rank#112  Overall
#55  Relational DBMS
Score8.27
Rank#45  Overall
#8  Document stores
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.arangodb.comcloud.google.com/­spannerrealm.io
Technical documentationwww.arangodb.com/­documentationcloud.google.com/­spanner/­docsrealm.io/­docs
DeveloperSoftware AGArangoDB GmbH / triagens GmbHGoogleRealm, acquired by MongoDB in May 2019
Initial release1971201220172014
Current release3.5.0, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis: Built and supported by the creators of ArangoDB, Oasis provides fully hosted, managed, and monitored cluster deployments of any size, with enterprise-grade security.
Implementation languageC, C++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Raspbian
Solaris
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP API
JSON style queries
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesNaturalC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin NaturalJavaScriptnono inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infosince version 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMaster-slave replicationMaster-Master replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"ArangoDBGoogle Cloud SpannerRealm
Specific characteristicsNow a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesRealm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosMobile Consumer Apps First-Line Worker Apps
» more
Key customersCathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsRealm database is licensed under the Apache License v2.0.
» more
News

ArangoDB and the Cloud Native Ecosystem
20 November 2019

Say Hi To ArangoDB Oasis: A Fully-Managed Multi-Model Database Service
14 November 2019

How we built our managed service on Kubernetes
25 October 2019

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots
9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Adabas infodenotes "adaptable data base"ArangoDBGoogle Cloud SpannerRealm
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