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DBMS > AnzoGraph DB vs. CrateDB vs. Faircom EDGE

System Properties Comparison AnzoGraph DB vs. CrateDB vs. Faircom EDGE

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCrateDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDistributed Database based on LuceneFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelGraph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value store
Relational DBMS
Secondary database modelsRelational 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
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Websitecambridgesemantics.com/­anzographcratedb.comwww.faircom.com/­products/­faircom-edge
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcratedb.com/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperCambridge SemanticsCrateFairCom Corporation
Initial release201820131979
Current release2.3, January 2021V3, October 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++
Server operating systemsLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Types
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, but no triggers and constraints, and PostgreSQL compatibilityyes infoANSI SQL queries
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions (Javascript)yes info.Net, JavaScript, C/C++
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterConfigurable replication on table/partition-levelyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQL
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
AnzoGraph DBCrateDBFaircom EDGE infoformerly c-treeEDGE
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