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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Interbase vs. Percona Server for MongoDB vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Interbase vs. Percona Server for MongoDB vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandA drop-in replacement for MongoDB Community Edition with enterprise-grade features.In-Memory RDBMS compatible to Oracle
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.hawkular.orgwww.embarcadero.com/­products/­interbasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasedocs.percona.com/­percona-distribution-for-mongodbdocs.oracle.com/­database/­timesten-18.1
DeveloperCommunity supported by Red HatEmbarcaderoPerconaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20192014198420151998
Current releaseInterBase 2020, December 20193.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemshostedLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infoexport as XML data possiblenono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTADO.NET
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languageJavaScriptPL/SQL
Triggersnoyes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandranoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraInterbase Change ViewsSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHawkular MetricsInterbasePercona Server for MongoDBTimesTen
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