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DBMS > Dgraph vs. Faircom DB vs. GridGain vs. HarperDB

System Properties Comparison Dgraph vs. Faircom DB vs. GridGain vs. HarperDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGridGain  Xexclude from comparisonHarperDB  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.GridGain is an in-memory computing platform, built on Apache IgniteUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelGraph DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
Document store
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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitedgraph.iowww.faircom.com/­products/­faircom-dbwww.gridgain.comwww.harperdb.io
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docs
DeveloperDgraph Labs, Inc.FairCom CorporationGridGain Systems, Inc.HarperDB
Initial release2016197920072017
Current releaseV12, November 2020GridGain 8.5.13.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercialcommercial infofree community edition 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++Java, C++, .NetNode.js
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
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesdynamic schema
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes infoJSON data types
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statements
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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingA table resides as a whole on one (or more) nodes in a cluster
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).yes (replicated cache)yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlno infoPlanned for future releasesFine grained access rights according to SQL-standard with additional protections for filesSecurity Hooks for custom implementationsAccess rights for users and roles

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More resources
DgraphFaircom DB infoformerly c-treeACEGridGainHarperDB
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