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DBMS > Amazon Neptune vs. EsgynDB vs. Realm vs. searchxml vs. ToroDB

System Properties Comparison Amazon Neptune vs. EsgynDB vs. Realm vs. searchxml vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEsgynDB  Xexclude from comparisonRealm  Xexclude from comparisonsearchxml  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDBMS for structured and unstructured content wrapped with an application serverA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeNative XML DBMS
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­neptunewww.esgyn.cnrealm.iowww.searchxml.net/­category/­productsgithub.com/­torodb/­server
Technical documentationaws.amazon.com/­neptune/­developer-resourcesrealm.io/­docswww.searchxml.net/­support/­handouts
DeveloperAmazonEsgynRealm, acquired by MongoDB in May 2019informationpartners gmbh8Kdata
Initial release20172015201420152016
Current release1.0
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++Java
Server operating systemshostedLinuxAndroid
Backend: server-less
iOS
Windows
WindowsAll OS with a Java 7 VM
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nononoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoJava Stored Proceduresno inforuns within the applications so server-side scripts are unnecessaryyes infoon the application server
Triggersnonoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication between multi datacentersnoneyes infosychronisation to multiple collectionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardyesDomain, group and role-based access control at the document level and for application servicesAccess rights for users and roles

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More resources
Amazon NeptuneEsgynDBRealmsearchxmlToroDB
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