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DBMS > AllegroGraph vs. Amazon Aurora vs. Graphite vs. IBM Db2 Event Store

System Properties Comparison AllegroGraph vs. Amazon Aurora vs. Graphite vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMySQL and PostgreSQL compatible cloud service by AmazonData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMSEvent Store
Time Series DBMS
Secondary database modelsSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteallegrograph.comaws.amazon.com/­rds/­auroragithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-store
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-store
DeveloperFranz Inc.AmazonChris DavisIBM
Initial release2004201520062017
Current release8.0, December 20232.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++
Server operating systemsLinux
OS X
Windows
hostedLinux
Unix
Linux infoLinux, macOS, Windows for the developer addition
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.no infobulk load of XML files possibleyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageyesnoyes infothrough the embedded Spark runtime
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesnoyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphAmazon AuroraGraphiteIBM Db2 Event Store
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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More resources
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