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DBMS > Apache Doris vs. Drizzle vs. EsgynDB vs. Hazelcast vs. RDFox

System Properties Comparison Apache Doris vs. Drizzle vs. EsgynDB vs. Hazelcast vs. RDFox

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonHazelcast  Xexclude from comparisonRDFox  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely adopted in-memory data gridHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeGraph DBMS
RDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cnhazelcast.comwww.oxfordsemantic.tech
Technical documentationgithub.com/­apache/­doris/­wikihazelcast.org/­imdg/­docsdocs.oxfordsemantic.tech
DeveloperApache Software Foundation, originally contributed from BaiduDrizzle project, originally started by Brian AkerEsgynHazelcastOxford Semantic Technologies
Initial release20172008201520082017
Current release1.2.2, February 20237.2.4, September 20125.3.6, November 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaJavaC++
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxAll OS with a Java VMLinux
macOS
Windows
Data schemeyesyesyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesSQL-like query languageno
APIs and other access methodsJDBC
MySQL client
JDBCADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJavaC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
Java
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresyes infoEvent Listeners, Executor Services
Triggersnono infohooks for callbacks inside the server can be used.noyes infoEvents
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes infoReplicated Mapreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access controlRoles, resources, and access types

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More resources
Apache DorisDrizzleEsgynDBHazelcastRDFox
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