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DBMS > DolphinDB vs. GeoSpock vs. JaguarDB vs. Sadas Engine vs. TimescaleDB

System Properties Comparison DolphinDB vs. GeoSpock vs. JaguarDB vs. Sadas Engine vs. TimescaleDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonTimescaleDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Spatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applicationsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSKey-value store
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.dolphindb.comgeospock.comwww.jaguardb.comwww.sadasengine.comwww.timescale.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.jaguardb.com/­support.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.timescale.com
DeveloperDolphinDB, IncGeoSpockDataJaguar, Inc.SADAS s.r.l.Timescale
Initial release2018201520062017
Current releasev2.00.4, January 20222.0, September 20193.3 July 20238.02.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPL V3.0commercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC++ infothe server part. Clients available in other languagesC++C
Server operating systemsLinux
Windows
hostedLinuxAIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, 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.nonononoyes
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes 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
JDBCJDBC
ODBC
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnononouser 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 partitioningAutomatic shardingShardinghorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
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.yesnonoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users can be defined per tablerights management via user accountsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DolphinDBGeoSpockJaguarDBSadas EngineTimescaleDB
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