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DBMS > Faircom DB vs. MarkLogic vs. Pinecone vs. Postgres-XL

System Properties Comparison Faircom DB vs. MarkLogic vs. Pinecone vs. Postgres-XL

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonMarkLogic  Xexclude from comparisonPinecone  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Operational and transactional Enterprise NoSQL databaseA managed, cloud-native vector databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.marklogic.comwww.pinecone.iowww.postgres-xl.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.marklogic.comdocs.pinecone.io/­docs/­overviewwww.postgres-xl.org/­documentation
DeveloperFairCom CorporationMarkLogic Corp.Pinecone Systems, Inc
Initial release1979200120192014 infosince 2012, originally named StormDB
Current releaseV12, November 202011.0, December 202210 R1, October 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial inforestricted free version is availablecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++C
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
hostedLinux
macOS
Data schemeschema free, schema optional, schema required, partial schema,schema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesString, Number, Booleanyes
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.noyesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infoSQL92noyes infodistributed, parallel query execution
APIs and other access methodsADO.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
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.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
Python.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infovia XQuery or JavaScriptuser defined functions
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, 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 methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACID infocan act as a resource manager in an XA/JTA transactionACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesnono
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
Faircom DB infoformerly c-treeACEMarkLogicPineconePostgres-XL
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