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DBMS > Apache Doris vs. Dgraph vs. GridGain vs. Oracle Rdb

System Properties Comparison Apache Doris vs. Dgraph vs. GridGain vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDistributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSGraph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
dgraph.iowww.gridgain.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationgithub.com/­apache/­doris/­wikidgraph.io/­docswww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation, originally contributed from BaiduDgraph Labs, Inc.GridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2017201620071984
Current release1.2.2, February 2023GridGain 8.5.17.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, C++, .Net
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
HP Open VMS
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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 SQLyesnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
MySQL client
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via Raftyes (replicated cache)
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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesSecurity Hooks for custom implementations

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More resources
Apache DorisDgraphGridGainOracle Rdb
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