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DBMS > Dragonfly vs. GridGain vs. HBase vs. Oracle Rdb vs. TigerGraph

System Properties Comparison Dragonfly vs. GridGain vs. HBase vs. Oracle Rdb vs. TigerGraph

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTableA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeKey-value store
Relational DBMS
Wide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gridgain.comhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.tigergraph.com
Technical documentationwww.dragonflydb.io/­docswww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.tigergraph.com
DeveloperDragonflyDB team and community contributorsGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20232007200819842017
Current release1.0, March 2023GridGain 8.5.12.3.4, January 20217.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoApache version 2commercialcommercial
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.
Implementation languageC++Java, C++, .NetJavaC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
HP Open VMSLinux
Data schemescheme-freeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesoptions to bring your own types, AVROyesyes
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.noyesnonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Server-side scripts infoStored proceduresLuayes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Javayes
Triggerspublish/subscribe channels provide some trigger functionalityyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDSingle row ACID (across millions of columns)yes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlPassword-based authenticationSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control

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More resources
DragonflyGridGainHBaseOracle RdbTigerGraph
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