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DBMS > Amazon SimpleDB vs. DolphinDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. IBM Db2

System Properties Comparison Amazon SimpleDB vs. DolphinDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. IBM Db2

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelKey-value storeTime Series DBMSDocument storeTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsRelational DBMSDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.dolphindb.comfirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.ibm.com/­products/­db2
Technical documentationdocs.aws.amazon.com/­simpledbdocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­docs/­en/­db2
DeveloperAmazonDolphinDB, IncGoogle infoacquired by Google 2014Community supported by Red HatIBM
Initial release20072018201220141983 infohost version
Current releasev2.00.4, January 202212.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoApache 2.0commercial infofree version is available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++
Server operating systemshostedLinux
Windows
hostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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
Secondary indexesyes infoAll columns are indexed automaticallyyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenonoyes
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyeslimited functionality with using 'rules'noyes
TriggersnonoCallbacks are triggered when data changesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningSharding infobased on CassandraSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on Cassandrayes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, Groupsyes, based on authentication and database rulesnofine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBDolphinDBFirebase Realtime DatabaseHawkular MetricsIBM Db2 infoformerly named DB2 or IBM Database 2
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