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DBMS > Amazon DocumentDB vs. c-treeACE vs. MarkLogic

System Properties Comparison Amazon DocumentDB vs. c-treeACE vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonc-treeACE  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Operational and transactional Enterprise NoSQL database
Primary database modelDocument storeKey-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#183  Overall
#28  Document stores
Score0.52
Rank#206  Overall
#34  Key-value stores
#98  Relational DBMS
Score12.47
Rank#38  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websiteaws.amazon.com/­documentdbwww.faircom.com/­-products/­-c-treeacewww.marklogic.com
Technical documentationaws.amazon.com/­documentdb/­resourceslearn.faircomcorp.com/­developers/­documentation_directorydocs.marklogic.com
DeveloperFairCom CorporationMarkLogic Corp.
Initial release201919792001
Current releaseV11.5, November 20179.0, 2017
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyes infoSQL92
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
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
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infovia XQuery or JavaScript
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
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 jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access control at the document and subdocument levels
More information provided by the system vendor
Amazon DocumentDBc-treeACEMarkLogic
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more

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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
Amazon DocumentDBc-treeACEMarkLogic
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