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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. PostgreSQL vs. RavenDB vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. PostgreSQL vs. RavenDB vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRavenDB  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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Graph DBMS
Spatial DBMS
Time Series 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
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.hawkular.orgwww.postgresql.orgravendb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.postgresql.org/­docsravendb.net/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperCommunity supported by Red HatPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating RhinosOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201920141989 info1989: Postgres, 1996: PostgreSQL20101998
Current release16.3, May 20245.4, July 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#
Server operating systemshostedLinux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsSQL-like query language (RQL)yes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
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 infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesPL/SQL
Triggersnoyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrapartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
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 CassandraSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source 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 ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.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 operationsnoACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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Amazon DocumentDBHawkular MetricsPostgreSQLRavenDBTimesTen
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