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

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

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonInfinityDB  Xexclude from comparisonmSQL infoMini SQL  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.A Java embedded Key-Value Store which extends the Java Map interfacemSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score0.07
Rank#359  Overall
#54  Key-value stores
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.dolphindb.comcloud.google.com/­spannerboilerbay.comhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­spanner/­docsboilerbay.com/­infinitydb/­manualsphinxsearch.com/­docs
DeveloperDolphinDB, IncGoogleBoiler Bay Inc.Hughes TechnologiesSphinx Technologies Inc.
Initial release20182017200219942001
Current releasev2.00.4, January 20224.04.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialcommercial infofree licenses can be providedOpen 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++JavaCC++
Server operating systemsLinux
Windows
hostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
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
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011noA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-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
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
JavaC
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenoneSharding 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.nonenonenone
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 ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnone
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnonono
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonono

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More resources
DolphinDBGoogle Cloud SpannerInfinityDBmSQL infoMini SQLSphinx
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