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DBMS > DolphinDB vs. Google Cloud Spanner vs. Rockset

System Properties Comparison DolphinDB vs. Google Cloud Spanner vs. Rockset

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRockset  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 scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.dolphindb.comcloud.google.com/­spannerrockset.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­spanner/­docsdocs.rockset.com
DeveloperDolphinDB, IncGoogleRockset
Initial release201820172019
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinux
Windows
hostedhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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.nonono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011Read-only SQL queries, including JOINs
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
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset console

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More resources
DolphinDBGoogle Cloud SpannerRockset
Recent citations in the news

Google Improves Cloud Spanner: More Compute and Storage without Price Increase
14 October 2023, InfoQ.com

Google makes its Cloud Spanner database service faster and more cost-efficient
11 October 2023, SiliconANGLE News

Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
11 October 2023, TechCrunch

Google Spanner: When Do You Need to Move to It?
11 September 2023, hackernoon.com

More AI Added to Google Cloud's Databases
28 February 2024, Datanami

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Honing business data with AI real-time analytics
14 March 2024, SiliconANGLE News

Rockset targets cost control with latest database update
31 January 2024, TechTarget

Rockset Announces 2024 Index Conference, Industry Event for Engineers Building Search, Analytics, and AI ...
18 April 2024, Datanami

Rockset Releases New Instance Class, Gains Momentum as the Search and Analytics Database Built for the Cloud
31 January 2024, GlobeNewswire

Real-time analytics database provider aims to cut compute costs by 30%
31 January 2024, SDxCentral

provided by Google News



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