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DBMS > Google Cloud Spanner vs. JaguarDB vs. Kdb

System Properties Comparison Google Cloud Spanner vs. JaguarDB vs. Kdb

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonJaguarDB  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionA 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.Performant, highly scalable DBMS for AI and IoT applicationsHigh performance Time Series DBMS
Primary database modelRelational DBMSKey-value store
Vector DBMS
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#100  Overall
#51  Relational DBMS
Score0.00
Rank#378  Overall
#59  Key-value stores
#15  Vector DBMS
Score7.58
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitecloud.google.com/­spannerwww.jaguardb.comkx.com
Technical documentationcloud.google.com/­spanner/­docswww.jaguardb.com/­support.htmlcode.kx.com
DeveloperGoogleDataJaguar, Inc.Kx Systems, a division of First Derivatives plc
Initial release201720152000 infokdb was released 2000, kdb+ in 2003
Current release3.3 July 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesq
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language (q)
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsrights management via user accounts
More information provided by the system vendor
Google Cloud SpannerJaguarDBKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Google Cloud SpannerJaguarDBKdb
Recent citations in the news

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

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

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

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

provided by Google News

KX Unveils New Enhancements to kdb+, Advancing Data Analytics and AI Integration
28 February 2024, Datanami

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE
18 May 2023, PR Newswire

Q/Kdb+ on AWS Lambda: Serverless Time-Series Analytics at Scale
12 May 2020, AWS Blog

The coding language you can learn in months for top finance jobs
26 July 2021, eFinancialCareers

provided by Google News



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