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DBMS > Google Cloud Spanner vs. ObjectBox vs. Splunk vs. Vitess

System Properties Comparison Google Cloud Spanner vs. ObjectBox vs. Splunk vs. Vitess

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonObjectBox  Xexclude from comparisonSplunk  Xexclude from comparisonVitess  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.Extremely fast embedded database for small devices, IoT and MobileAnalytics Platform for Big DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSObject oriented DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitecloud.google.com/­spannerobjectbox.iowww.splunk.comvitess.io
Technical documentationcloud.google.com/­spanner/­docsdocs.objectbox.iodocs.splunk.com/­Documentation/­Splunkvitess.io/­docs
DeveloperGoogleObjectBox LimitedSplunk Inc.The Linux Foundation, PlanetScale
Initial release2017201720032013
Current release15.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Go
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nono infoSplunk Search Processing Language for search commandsyes infowith proprietary extensions
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
Proprietary native APIHTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
Java
JavaScript
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.online/offline synchronization between client and serverMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Google Cloud SpannerObjectBoxSplunkVitess
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More resources
Google Cloud SpannerObjectBoxSplunkVitess
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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 Cloud just fired a major volley at AWS as the cloud wars heat up
12 October 2023, TechRadar

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

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Industrial IoT (IIoT) edge solution for railway operators – a Kapsch ObjectBox Case Study
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27 August 2021, hackernoon.com

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

PlanetScale Serves up Vitess-Powered Serverless MySQL
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