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DBMS > Amazon Neptune vs. Apache Doris vs. Apache Druid vs. Linter

System Properties Comparison Amazon Neptune vs. Apache Doris vs. Apache Druid vs. Linter

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRDBMS for high security requirements
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteaws.amazon.com/­neptunedoris.apache.org
github.com/­apache/­doris
druid.apache.orglinter.ru
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­design
DeveloperAmazonApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsrelex.ru
Initial release2017201720121990
Current release1.2.2, February 202329.0.1, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemshostedLinuxLinux
OS X
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeschema-freeyesyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL for queryingyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
MySQL client
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.noneyes, via HDFS, S3 or other storage enginesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneApache DorisApache DruidLinter
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