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DBMS > 4D vs. GridGain vs. HarperDB vs. TigerGraph vs. YottaDB

System Properties Comparison 4D vs. GridGain vs. HarperDB vs. TigerGraph vs. YottaDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemGridGain 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.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document storeGraph DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.4d.comwww.gridgain.comwww.harperdb.iowww.tigergraph.comyottadb.com
Technical documentationdeveloper.4d.comwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docsdocs.tigergraph.comyottadb.com/­resources/­documentation
Developer4D, IncGridGain Systems, Inc.HarperDBYottaDB, LLC
Initial release19842007201720172001
Current releasev20, April 2023GridGain 8.5.13.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availablecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetNode.jsC++C
Server operating systemsOS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
LinuxDocker
Linux
Data schemeyesyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesno
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.yesyesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92ANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsSQL-like query language (GSQL)by using the Octo plugin
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages4D proprietary IDE
PHP
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
C++
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1yes
Triggersyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlUsers and groupsSecurity Hooks for custom implementationsAccess rights for users and rolesRole-based access controlUsers and groups based on OS-security mechanisms

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More resources
4D infoformer name: 4th DimensionGridGainHarperDBTigerGraphYottaDB
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