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DBMS > Amazon DocumentDB vs. eXtremeDB vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics

System Properties Comparison Amazon DocumentDB vs. eXtremeDB vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNatively in-memory DBMS with options for persistency, high-availability and clusteringEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.mcobject.comwww.postgresql.fastware.comwww.hawkular.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.mcobject.com/­docs/­extremedb.htmwww.postgresql.fastware.com/­product-manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperMcObjectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCommunity supported by Red Hat
Initial release201920012014
Current release8.2, 2021Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 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 and C++CJava
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availableno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnoyes infoby defining eventsyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingpartitioning by range, list and by hashSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBeXtremeDBFujitsu Enterprise PostgresHawkular Metrics
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