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DBMS > Apache Kylin vs. DolphinDB vs. Graph Engine vs. HyperSQL vs. Microsoft Azure Table Storage

System Properties Comparison Apache Kylin vs. DolphinDB vs. Graph Engine vs. HyperSQL vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDolphinDB 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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
Key-value store
Relational DBMSWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitekylin.apache.orgwww.dolphindb.comwww.graphengine.iohsqldb.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationkylin.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software Foundation, originally contributed from eBay IncDolphinDB, IncMicrosoftMicrosoft
Initial release20152018201020012012
Current release3.1.0, July 2020v2.00.4, January 20222.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availableOpen Source infoMIT LicenseOpen Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++.NET and CJava
Server operating systemsLinuxLinux
Windows
.NETAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeyesyesyesyesschema-free
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 indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
Apache KylinDolphinDBGraph Engine infoformer name: TrinityHyperSQL infoalso known as HSQLDBMicrosoft Azure Table Storage
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