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DBMS > AnzoGraph DB vs. FoundationDB vs. IBM Db2 Event Store vs. Trafodion

System Properties Comparison AnzoGraph DB vs. FoundationDB vs. IBM Db2 Event Store vs. Trafodion

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFoundationDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTrafodion  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOrdered key-value store. Core features are complimented by layers.Distributed Event Store optimized for Internet of Things use casesTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Event Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­apple/­foundationdbwww.ibm.com/­products/­db2-event-storetrafodion.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmapple.github.io/­foundationdbwww.ibm.com/­docs/­en/­db2-event-storetrafodion.apache.org/­documentation.html
DeveloperCambridge SemanticsFoundationDBIBMApache Software Foundation, originally developed by HP
Initial release2018201320172014
Current release2.3, January 20216.2.28, November 20202.02.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++, Java
Server operating systemsLinuxLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeSchema-free and OWL/RDFS-schema supportschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes
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 indexesnononoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.supported in specific SQL layer onlyyes infothrough the embedded Spark runtimeyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesin SQL-layer onlyyesJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesActive-active shard replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterLinearizable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBFoundationDBIBM Db2 Event StoreTrafodion
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