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DBMS > AnzoGraph DB vs. Faircom EDGE vs. Heroic vs. Kyligence Enterprise

System Properties Comparison AnzoGraph DB vs. Faircom EDGE vs. Heroic vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHeroic  Xexclude from comparisonKyligence Enterprise  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 environmentsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.faircom.com/­products/­faircom-edgegithub.com/­spotify/­heroickyligence.io/­kyligence-enterprise
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlspotify.github.io/­heroic
DeveloperCambridge SemanticsFairCom CorporationSpotifyKyligence, Inc.
Initial release2018197920142016
Current release2.3, January 2021V3, October 2020
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaJava
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL 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.noyesnono
Secondary indexesnoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infoANSI SQL queriesnoANSI SQL for queries (using Apache Calcite)
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
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes info.Net, JavaScript, C/C++no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
AnzoGraph DBFaircom EDGE infoformerly c-treeEDGEHeroicKyligence Enterprise
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