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DBMS > Apache Doris vs. Geode vs. GridGain vs. HugeGraph vs. STSdb

System Properties Comparison Apache Doris vs. Geode vs. GridGain vs. HugeGraph vs. STSdb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Graph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
geode.apache.orgwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­apache/­doris/­wikigeode.apache.org/­docswww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from BaiduOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.BaiduSTS Soft SC
Initial release20172002200720182011
Current release1.2.2, February 20231.1, February 2017GridGain 8.5.10.94.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetJavaC#
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesnoyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyesSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBC
MySQL client
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
Supported programming languagesJava.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
C#
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsno
Triggersnoyes infoCache Event Listenersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)via hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableSecurity Hooks for custom implementationsUsers, roles and permissionsno

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More resources
Apache DorisGeodeGridGainHugeGraphSTSdb
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