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DBMS > Faircom DB vs. InterSystems IRIS vs. Postgres-XL vs. PouchDB vs. SingleStore

System Properties Comparison Faircom DB vs. InterSystems IRIS vs. Postgres-XL vs. PouchDB vs. SingleStore

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector 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
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.intersystems.com/­products/­intersystems-iriswww.postgres-xl.orgpouchdb.comwww.singlestore.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.postgres-xl.org/­documentationpouchdb.com/­guidesdocs.singlestore.com
DeveloperFairCom CorporationInterSystemsApache Software FoundationSingleStore Inc.
Initial release197920182014 infosince 2012, originally named StormDB20122013
Current releaseV12, November 20202023.3, June 202310 R1, October 20187.1.1, June 20198.5, January 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoMozilla public licenseOpen Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageANSI C, C++CJavaScriptC++, Go
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version required
Data schemeschema free, schema optional, schema required, partial schema,depending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesnoyes
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.noyesyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesyes infodistributed, parallel query executionnoyes infobut no triggers and foreign keys
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesuser defined functionsView functions in JavaScriptyes
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash 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).Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesyesfine grained access rights according to SQL-standardnoFine grained access control via users, groups and roles
More information provided by the system vendor
Faircom DB infoformerly c-treeACEInterSystems IRISPostgres-XLPouchDBSingleStore infoformer name was MemSQL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Faircom DB infoformerly c-treeACEInterSystems IRISPostgres-XLPouchDBSingleStore infoformer name was MemSQL
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