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DBMS > Apache Doris vs. Databend vs. Hazelcast vs. Microsoft Azure Table Storage vs. UniData,UniVerse

System Properties Comparison Apache Doris vs. Databend vs. Hazelcast vs. Microsoft Azure Table Storage vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabend  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSRelational DBMSKey-value storeWide column storeMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­datafuselabs/­databend
www.databend.com
hazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationgithub.com/­apache/­doris/­wikidocs.databend.comhazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation, originally contributed from BaiduDatabend LabsHazelcastMicrosoftRocket Software
Initial release20172021200820121985
Current release1.2.2, February 20231.0.59, April 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustJavaC
Server operating systemsLinuxhosted
Linux
macOS
All OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesyesSQL-like query languagenoyes
APIs and other access methodsJDBC
MySQL client
CLI Client
JDBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes infoEvent Listeners, Executor Servicesnoyes
Triggersnonoyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedoptimistic lockingACID infoconfigurable
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesRole-based access controlAccess rights based on private key authentication or shared access signaturesAccess rights according to SQL-standard and operating system based

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More resources
Apache DorisDatabendHazelcastMicrosoft Azure Table StorageUniData,UniVerse
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