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DBMS > AnzoGraph DB vs. FoundationDB vs. RavenDB

System Properties Comparison AnzoGraph DB vs. FoundationDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFoundationDB  Xexclude from comparisonRavenDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
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.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitecambridgesemantics.com/­anzographgithub.com/­apple/­foundationdbravendb.net
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmapple.github.io/­foundationdbravendb.net/­docs
DeveloperCambridge SemanticsFoundationDBHibernating Rhinos
Initial release201820132010
Current release2.3, January 20216.2.28, November 20205.4, July 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingno
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
Secondary indexesnonoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.supported in specific SQL layer onlySQL-like query language (RQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesin SQL-layer onlyyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterLinearizable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infonot needed in graphsin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesnoAuthorization levels configured per client per database

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More resources
AnzoGraph DBFoundationDBRavenDB
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