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DBMS > DolphinDB vs. Google Cloud Spanner vs. mSQL vs. OrigoDB vs. Sphinx

System Properties Comparison DolphinDB vs. Google Cloud Spanner vs. mSQL vs. OrigoDB vs. Sphinx

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  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.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.mSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score1.41
Rank#170  Overall
#78  Relational DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websitewww.dolphindb.comcloud.google.com/­spannerhughestech.com.au/­products/­msqlorigodb.comsphinxsearch.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­spanner/­docsorigodb.com/­docssphinxsearch.com/­docs
DeveloperDolphinDB, IncGoogleHughes TechnologiesRobert Friberg et alSphinx Technologies Inc.
Initial release2018201719942009 infounder the name LiveDB2001
Current releasev2.00.4, January 20224.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercial infofree licenses can be providedOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#C++
Server operating systemsLinux
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
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 infocan be achieved using .NET
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnonoyesno
Triggersnononoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.noneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole based authorizationno

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More resources
DolphinDBGoogle Cloud SpannermSQL infoMini SQLOrigoDBSphinx
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