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DBMS > Apache Doris vs. HugeGraph vs. IBM Cloudant vs. Immudb vs. Kinetica

System Properties Comparison Apache Doris vs. HugeGraph vs. IBM Cloudant vs. Immudb vs. Kinetica

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSGraph DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantgithub.com/­codenotary/­immudb
immudb.io
www.kinetica.com
Technical documentationgithub.com/­apache/­doris/­wikihugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantdocs.immudb.iodocs.kinetica.com
DeveloperApache Software Foundation, originally contributed from BaiduBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014CodenotaryKinetica
Initial release20172018201020202012
Current release1.2.2, February 20230.91.2.3, April 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlangGoC, C++
Server operating systemsLinuxLinux
macOS
Unix
hostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLyesnonoSQL-like syntaxSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL client
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaGroovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptnouser defined functions
Triggersnonoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.noyesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
Apache DorisHugeGraphIBM CloudantImmudbKinetica
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