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DBMS > Adabas vs. ArangoDB vs. Hive vs. Realm

System Properties Comparison Adabas vs. ArangoDB vs. Hive vs. Realm

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonArangoDB  Xexclude from comparisonHive  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 DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopA 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
Score86.05
Rank#14  Overall
#9  Relational DBMS
Score8.27
Rank#45  Overall
#8  Document stores
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.arangodb.comhive.apache.orgrealm.io
Technical documentationwww.arangodb.com/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homerealm.io/­docs
DeveloperSoftware AGArangoDB GmbH / triagens GmbHApache Software Foundation infoinitially developed by FacebookRealm, acquired by MongoDB in May 2019
Initial release1971201220122014
Current release3.5.3, November 20193.1.2, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
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++, JavaScriptJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Raspbian
Solaris
Windows
All OS with a Java VMAndroid
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like DML and DDL statementsno
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
JDBC
ODBC
Thrift
Supported programming languagesNaturalC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin NaturalJavaScriptyes infouser defined functions and integration of map-reduceno 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 replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesAccess rights for users, groups and rolesyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"ArangoDBHiveRealm
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
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More resources
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