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DBMS > Amazon DocumentDB vs. Brytlyt vs. InfinityDB vs. MarkLogic

System Properties Comparison Amazon DocumentDB vs. Brytlyt vs. InfinityDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonInfinityDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA Java embedded Key-Value Store which extends the Java Map interfaceOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeRelational DBMSKey-value storeDocument 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
Score1.91
Rank#124  Overall
#22  Document stores
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websiteaws.amazon.com/­documentdbbrytlyt.ioboilerbay.comwww.progress.com/­marklogic
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.brytlyt.ioboilerbay.com/­infinitydb/­manualwww.progress.com/­marklogic/­documentation
DeveloperBrytlytBoiler Bay Inc.MarkLogic Corp.
Initial release2019201620022001
Current release5.0, August 20234.011.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is available
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++ and CUDAJavaC++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoyesnoyes infoSQL92
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
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++
Delphi
Java
Perl
Python
Tcl
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoyes infovia XQuery or JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, with Range Indexes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoRole-based access control at the document and subdocument levels

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More resources
Amazon DocumentDBBrytlytInfinityDBMarkLogic
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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