DBMS > DolphinDB vs. Google Cloud Spanner
System Properties Comparison DolphinDB vs. Google Cloud Spanner
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|Editorial information provided by DB-Engines|
|Name||DolphinDB Xexclude from comparison||Google Cloud Spanner Xexclude from comparison|
|Description||DolphinDB 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.|
|Primary database model||Time Series DBMS||Relational DBMS|
|Secondary database models||Relational DBMS|
|Current release||v2.00.4, January 2022|
|License Commercial or Open Source||commercial free community version available||commercial|
|Cloud-based only Only available as a cloud service||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||SQL-like query language||yes Query statements complying to ANSI 2011|
|APIs and other access methods||JDBC|
JSON over HTTP
MQTT (Message Queue Telemetry Transport)
|gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
|Supported programming languages||C#|
|Server-side scripts Stored procedures||yes||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication with 3 replicas for regional instances.|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||yes using Google Cloud Dataflow|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||ACID Strict serializable isolation|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Administrators, Users, Groups||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|DolphinDB||Google Cloud Spanner|
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