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DBMS > Apache Doris vs. Badger vs. Dgraph vs. GridGain

System Properties Comparison Apache Doris vs. Badger vs. Dgraph vs. GridGain

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBadger  Xexclude from comparisonDgraph  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSKey-value storeGraph DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­dgraph-io/­badgerdgraph.iowww.gridgain.com
Technical documentationgithub.com/­apache/­doris/­wikigodoc.org/­github.com/­dgraph-io/­badgerdgraph.io/­docswww.gridgain.com/­docs/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduDGraph LabsDgraph Labs, Inc.GridGain Systems, Inc.
Initial release2017201720162007
Current release1.2.2, February 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoGoJava, C++, .Net
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnonoANSI-99 for query and DML statements, subset of DDL
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 languagesJavaGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSynchronous replication via Raftyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoPlanned for future releasesSecurity Hooks for custom implementations

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More resources
Apache DorisBadgerDgraphGridGain
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