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DBMS > DolphinDB vs. Hive vs. RisingWave vs. STSdb vs. TimescaleDB

System Properties Comparison DolphinDB vs. Hive vs. RisingWave vs. STSdb vs. TimescaleDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHive  Xexclude from comparisonRisingWave  Xexclude from comparisonSTSdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDolphinDB 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.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed RDBMS for stream processing, wire-compatible with PostgreSQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.dolphindb.comhive.apache.orgwww.risingwave.com/­databasegithub.com/­STSSoft/­STSdb4www.timescale.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.risingwave.com/­docs/­current/­introdocs.timescale.com
DeveloperDolphinDB, IncApache Software Foundation infoinitially developed by FacebookRisingWave LabsSTS Soft SCTimescale
Initial release20182012202220112017
Current releasev2.00.4, January 20223.1.3, April 20221.2, September 20234.0.8, September 20152.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaRustC#C
Server operating systemsLinux
Windows
All OS with a Java VMDocker
Linux
macOS
WindowsLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes infoprimitive types and user defined types (classes)numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Thrift
JDBC
PostgreSQL wire protocol
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceUDFs in Python or Javanouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and rolesUsers and Rolesnofine grained access rights according to SQL-standard

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More resources
DolphinDBHiveRisingWaveSTSdbTimescaleDB
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