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DBMS > AnzoGraph DB vs. etcd vs. Faircom DB vs. MarkLogic

System Properties Comparison AnzoGraph DB vs. etcd vs. Faircom DB vs. MarkLogic

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonetcd  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed reliable key-value storeNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Operational and transactional Enterprise NoSQL database
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitecambridgesemantics.com/­anzographetcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-dbwww.marklogic.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.marklogic.com
DeveloperCambridge SemanticsFairCom CorporationMarkLogic Corp.
Initial release201819792001
Current release2.3, January 20213.4, August 2019V12, November 202011.0, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++C++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema free, schema optional, schema required, partial schema,schema-free infoSchema can be enforced
Typing infopredefined data types such as float or datenoyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nononoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes, ANSI SQL with proprietary extensionsyes infoSQL92
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC
JSON over HTTP
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++yes infovia XQuery or JavaScript
Triggersnoyes, watching key changesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnotunable from ACID to Eventually ConsistentACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes, with Range Indexes
User concepts infoAccess controlAccess rights for users and rolesnoFine grained access rights according to SQL-standard with additional protections for filesRole-based access control at the document and subdocument levels

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More resources
AnzoGraph DBetcdFaircom DB infoformerly c-treeACEMarkLogic
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