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DBMS > Amazon Neptune vs. AnzoGraph DB vs. Graphite vs. IBM Db2 Event Store vs. TinkerGraph

System Properties Comparison Amazon Neptune vs. AnzoGraph DB vs. Graphite vs. IBM Db2 Event Store vs. TinkerGraph

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationData 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 casesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Time Series DBMSEvent Store
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteaws.amazon.com/­neptunecambridgesemantics.com/­anzographgithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-storetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonCambridge SemanticsChris DavisIBM
Initial release20172018200620172009
Current release2.3, January 20212.0
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++Java
Server operating systemshostedLinuxLinux
Unix
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nonononono
Secondary indexesnonononono
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.noyes infothrough the embedded Spark runtimeno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication in MPP-ClusternoneActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusternoneEventual Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsno infonot needed in graphsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingNo - written data is immutableno
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageoptional
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 roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesnofine grained access rights according to SQL-standardno

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More resources
Amazon NeptuneAnzoGraph DBGraphiteIBM Db2 Event StoreTinkerGraph
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