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DBMS > DolphinDB vs. Google Cloud Spanner vs. TimescaleDB vs. VelocityDB

System Properties Comparison DolphinDB vs. Google Cloud Spanner vs. TimescaleDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVelocityDB  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 time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.dolphindb.comcloud.google.com/­spannerwww.timescale.comvelocitydb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­spanner/­docsdocs.timescale.comvelocitydb.com/­UserGuide
DeveloperDolphinDB, IncGoogleTimescaleVelocityDB Inc
Initial release2018201720172011
Current releasev2.00.4, January 20222.15.0, May 20247.x
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
Any that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011yes infofull PostgreSQL SQL syntaxno
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
Server-side scripts infoStored proceduresyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
TriggersnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)fine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
DolphinDBGoogle Cloud SpannerTimescaleDBVelocityDB
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18 March 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, businesswire.com

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

provided by Google News



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