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DBMS > Faircom DB vs. GridGain vs. Stardog vs. TempoIQ

System Properties Comparison Faircom DB vs. GridGain vs. Stardog vs. TempoIQ

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonGridGain  Xexclude from comparisonStardog  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.GridGain is an in-memory computing platform, built on Apache IgniteEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Graph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.faircom.com/­products/­faircom-dbwww.gridgain.comwww.stardog.comtempoiq.com (offline)
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.gridgain.com/­docs/­index.htmldocs.stardog.com
DeveloperFairCom CorporationGridGain Systems, Inc.Stardog-UnionTempoIQ
Initial release1979200720102012
Current releaseV12, November 2020GridGain 8.5.17.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++Java, C++, .NetJava
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema free, schema optional, schema required, partial schema,yesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.noyesno infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsANSI-99 for query and DML statements, subset of DDLYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes (compute grid and cache interceptors can be used instead)user defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyes (cache interceptors and events)yes infovia event handlersyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingnone
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 (replicated cache)Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDACIDno
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.yesyesyesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesSecurity Hooks for custom implementationsAccess rights for users and rolessimple authentication-based access control

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More resources
Faircom DB infoformerly c-treeACEGridGainStardogTempoIQ infoformerly TempoDB
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