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DBMS > AnzoGraph DB vs. Faircom EDGE vs. Ingres vs. RocksDB

System Properties Comparison AnzoGraph DB vs. Faircom EDGE vs. Ingres vs. RocksDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIngres  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWell established RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#297  Overall
#25  Graph DBMS
#13  RDF stores
Score0.13
Rank#304  Overall
#44  Key-value stores
#139  Relational DBMS
Score6.10
Rank#69  Overall
#38  Relational DBMS
Score3.91
Rank#89  Overall
#15  Key-value stores
Websitewww.cambridgesemantics.com/­anzographwww.faircom.com/­products/­faircomedge-iot-databasewww.actian.com/­data-management/­ingres-sql-rdbmsrocksdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmlearn.faircomcorp.com/­developers/­documentation_directorydocs.actian.com/­ingresgithub.com/­facebook/­rocksdb/­wiki
DeveloperCambridge SemanticsFairCom CorporationActian CorporationFacebook, Inc.
Initial release201819791974 infooriginally developed at University Berkely in early 1970s2013
Current release2.3, January 2021V3, October 202011.0, April 20177.1.1, April 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoRestricted, free version availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++CC++
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesno
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.noyesno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infoANSI SQL queriesyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
C++ API
Java API
Supported programming languagesC++
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes info.Net, JavaScript, C/C++yesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoSynchronous and asynchronous realtime replication based on transaction logsIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBFaircom EDGE infoformerly c-treeEDGEIngresRocksDB
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AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

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