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DBMS > Google Cloud Datastore vs. jBASE vs. Prometheus vs. Splunk vs. Vitess

System Properties Comparison Google Cloud Datastore vs. jBASE vs. Prometheus vs. Splunk vs. Vitess

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonjBASE  Xexclude from comparisonPrometheus  Xexclude from comparisonSplunk  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust multi-value DBMS comprising development tools and middlewareOpen-source Time Series DBMS and monitoring systemAnalytics Platform for Big DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeMultivalue DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitecloud.google.com/­datastorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseprometheus.iowww.splunk.comvitess.io
Technical documentationcloud.google.com/­datastore/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9prometheus.io/­docsdocs.splunk.com/­Documentation/­Splunkvitess.io/­docs
DeveloperGoogleRocket Software (formerly Zumasys)Splunk Inc.The Linux Foundation, PlanetScale
Initial release20081991201520032013
Current release5.715.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 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 serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGo
Server operating systemshostedAIX
Linux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes, details hereoptionalNumeric data onlyyesyes
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.noyesno infoImport of XML data possibleyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)Embedded SQL for jBASE in BASICnono infoSplunk Search Processing Language for search commandsyes infowith proprietary extensions
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP/JSON APIHTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 proceduresusing Google App Engineyesnoyesyes infoproprietary syntax
TriggersCallbacks using the Google Apps Engineyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyes infoby FederationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono 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 datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelnoAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud DatastorejBASEPrometheusSplunkVitess
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