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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Hawkular Metrics vs. Kdb vs. Oracle Coherence

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Hawkular Metrics vs. Kdb vs. Oracle Coherence

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMSOracles in-memory data grid solution
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.hawkular.orgkx.comwww.oracle.com/­java/­coherence
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationCommunity supported by Red HatKx Systems, a division of First Derivatives plcOracle
Initial release2019201420142000 infokdb was released 2000, kdb+ in 20032007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.6, May 201814.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaqJava
Server operating systemshostedLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
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.nononoyesno
Secondary indexesyesyesnoyes infotable attribute 'grouped'no
SQL infoSupport of SQLnoyesnoSQL-like query language (q)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCHTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JCache
JPA
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functionsno
Triggersnonoyes infovia Hawkular Alertingyes infowith viewsyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandrahorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynorights management via user accountsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Amazon DocumentDBApache PhoenixHawkular MetricsKdbOracle Coherence
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Amazon DocumentDBApache PhoenixHawkular MetricsKdbOracle Coherence
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