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

System Properties Comparison Apache Kylin vs. DolphinDB vs. Graph Engine vs. HarperDB 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 comparisonHarperDB  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 engineHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Graph DBMS
Key-value store
Document storeWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.55
Rank#243  Overall
#38  Document stores
Score3.55
Rank#80  Overall
#6  Wide column stores
Websitekylin.apache.orgwww.dolphindb.comwww.graphengine.iowww.harperdb.ioazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationkylin.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.harperdb.io/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncDolphinDB, IncMicrosoftHarperDBMicrosoft
Initial release20152018201020172012
Current release3.1.0, July 2020v2.00.4, January 20223.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availableOpen Source infoMIT Licensecommercial infofree community edition availablecommercial
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 CNode.js
Server operating systemsLinuxLinux
Windows
.NETLinux
OS X
hosted
Data schemeyesyesyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data typesyes
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 languagenoSQL-like data manipulation statementsno
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 APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesCustom Functions infosince release 3.1no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedyes 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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoAtomic execution of specific operationsoptimistic 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 storageyes, using LMDByes
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, GroupsAccess rights for users and rolesAccess rights based on private key authentication or shared access signatures

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More resources
Apache KylinDolphinDBGraph Engine infoformer name: TrinityHarperDBMicrosoft Azure Table Storage
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