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DBMS > Datomic vs. DolphinDB vs. Microsoft Azure Table Storage vs. ObjectBox

System Properties Comparison Datomic vs. DolphinDB vs. Microsoft Azure Table Storage vs. ObjectBox

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB 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 Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSTime Series DBMSWide column storeObject oriented DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitewww.datomic.comwww.dolphindb.comazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.io
Technical documentationdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmldocs.objectbox.io
DeveloperCognitectDolphinDB, IncMicrosoftObjectBox Limited
Initial release2012201820122017
Current release1.0.6735, June 2023v2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community version availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C and C++
Server operating systemsAll OS with a Java VMLinux
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Data schemeyesyesschema-freeyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIProprietary native API
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnono
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnoAdministrators, Users, GroupsAccess rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
DatomicDolphinDBMicrosoft Azure Table StorageObjectBox
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