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DBMS > Apache Doris vs. Geode vs. Riak KV vs. Transwarp Hippo

System Properties Comparison Apache Doris vs. Geode vs. Riak KV vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeode  Xexclude from comparisonRiak KV  Xexclude from comparisonTranswarp Hippo  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 processesDistributed, fault tolerant key-value storeCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.05
Rank#386  Overall
#15  Vector DBMS
Websitedoris.apache.org
github.com/­apache/­doris
geode.apache.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationgithub.com/­apache/­doris/­wikigeode.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
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.OpenSource, formerly Basho Technologies
Initial release2017200220092023
Current release1.2.2, February 20231.1, February 20173.2.0, December 20221.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Linux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and String
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.nononono
Secondary indexesyesnorestrictedno
SQL infoSupport of SQLyesSQL-like query language (OQL)nono
APIs and other access methodsJDBC
MySQL client
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
RESTful HTTP API
Supported programming languagesJava.Net
All JVM based languages
C++
Groovy
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsErlangno
Triggersnoyes infoCache Event Listenersyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenono
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableyes, using Riak SecurityRole based access control and fine grained access rights

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More resources
Apache DorisGeodeRiak KVTranswarp Hippo
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