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DBMS > AnzoGraph DB vs. Blazegraph vs. DolphinDB vs. IBM Db2 Event Store

System Properties Comparison AnzoGraph DB vs. Blazegraph vs. DolphinDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBlazegraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.DolphinDB 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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Time Series DBMSEvent Store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitecambridgesemantics.com/­anzographblazegraph.comwww.dolphindb.comwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwiki.blazegraph.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperCambridge SemanticsBlazegraphDolphinDB, IncIBM
Initial release2018200620182017
Current release2.3, January 20212.1.5, March 2019v2.00.4, January 20222.0
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoextended commercial license availablecommercial infofree community version availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SPARQL is used as query languageSQL-like query languageyes infothrough the embedded Spark runtime
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesyesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - 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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Administrators, Users, Groupsfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBBlazegraphDolphinDBIBM Db2 Event Store
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