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DBMS > Amazon SimpleDB vs. Apache Phoenix vs. Firebird vs. HugeGraph vs. Sadas Engine

System Properties Comparison Amazon SimpleDB vs. Apache Phoenix vs. Firebird vs. HugeGraph vs. Sadas Engine

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFirebird  Xexclude from comparisonHugeGraph  Xexclude from comparisonSadas Engine  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 ScioreA scale-out RDBMS with evolutionary schema built on Apache HBaseFirebird is an open source RDBMS forked from Borland's InterBaseA fast-speed and highly-scalable Graph DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeRelational DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­simpledbphoenix.apache.orgwww.firebirdsql.orggithub.com/­hugegraph
hugegraph.apache.org
www.sadasengine.com
Technical documentationdocs.aws.amazon.com/­simpledbphoenix.apache.orgwww.firebirdsql.org/­en/­reference-manualshugegraph.apache.org/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonApache Software FoundationFirebird FoundationBaiduSADAS s.r.l.
Initial release200720142000 infoAs fork of Borland's InterBase20182006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0.0, January 20240.98.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaC++
Server operating systemshostedLinux
Unix
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS
Unix
AIX
Linux
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesyesyes
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 automaticallyyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsRESTful HTTP APIJDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsPSQLasynchronous Gremlin script jobsno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization conceptUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon SimpleDBApache PhoenixFirebirdHugeGraphSadas Engine
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