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DBMS > Dgraph vs. Faircom DB vs. GigaSpaces vs. TigerGraph

System Properties Comparison Dgraph vs. Faircom DB vs. GigaSpaces vs. TigerGraph

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitedgraph.iowww.faircom.com/­products/­faircom-dbwww.gigaspaces.comwww.tigergraph.com
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.tigergraph.com
DeveloperDgraph Labs, Inc.FairCom CorporationGigaspaces Technologies
Initial release2016197920002017
Current releaseV12, November 202015.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2; Commercial licenses availablecommercial
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++Java, C++, .NetC++
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Solaris
Windows
Linux
Data schemeschema-freeschema free, schema optional, schema required, partial schema,schema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsSQL-99 for query and DML statementsSQL-like query language (GSQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesyes
Triggersnoyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesFine grained access rights according to SQL-standard with additional protections for filesRole-based access controlRole-based access control

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More resources
DgraphFaircom DB infoformerly c-treeACEGigaSpacesTigerGraph
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