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DBMS > Apache Druid vs. DolphinDB vs. HugeGraph vs. Linter vs. ObjectBox

System Properties Comparison Apache Druid vs. DolphinDB vs. HugeGraph vs. Linter vs. ObjectBox

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDolphinDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonLinter  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A fast-speed and highly-scalable Graph DBMSRDBMS for high security requirementsExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSGraph DBMSRelational DBMSObject oriented DBMS
Secondary database modelsRelational DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitedruid.apache.orgwww.dolphindb.comgithub.com/­hugegraph
hugegraph.apache.org
linter.ruobjectbox.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.dolphindb.cn/­en/­help200/­index.htmlhugegraph.apache.org/­docsdocs.objectbox.io
DeveloperApache Software Foundation and contributorsDolphinDB, IncBaidurelex.ruObjectBox Limited
Initial release20122018201819902017
Current release29.0.1, April 2024v2.00.4, January 20220.9
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community version availableOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC and C++C and C++
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
macOS
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Android
iOS
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesyes
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.nonononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Groovy
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyesasynchronous Gremlin script jobsyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
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.noyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAdministrators, Users, GroupsUsers, roles and permissionsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache DruidDolphinDBHugeGraphLinterObjectBox
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More resources
Apache DruidDolphinDBHugeGraphLinterObjectBox
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