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DBMS > Amazon DocumentDB vs. Manticore Search vs. MarkLogic vs. ObjectBox

System Properties Comparison Amazon DocumentDB vs. Manticore Search vs. MarkLogic vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMarkLogic  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMulti-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databaseExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument storeSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Object oriented DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­documentdbmanticoresearch.comwww.progress.com/­marklogicobjectbox.io
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.comwww.progress.com/­marklogic/­documentationdocs.objectbox.io
DeveloperManticore SoftwareMarkLogic Corp.ObjectBox Limited
Initial release2019201720012017
Current release6.0, February 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial inforestricted free version is availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeFixed schemaschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL92no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSynchronous replication based on Galera libraryyesonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesno
User concepts infoAccess controlAccess rights for users and rolesnoRole-based access control at the document and subdocument levelsyes
More information provided by the system vendor
Amazon DocumentDBManticore SearchMarkLogicObjectBox
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More resources
Amazon DocumentDBManticore SearchMarkLogicObjectBox
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