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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonjBASE  Xexclude from comparisonPrometheus  Xexclude from comparisonSplunk  Xexclude from comparisonStarRocks  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 DataAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument storeMultivalue DBMSTime Series DBMSSearch engineRelational 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
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitecloud.google.com/­datastorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseprometheus.iowww.splunk.comwww.starrocks.io
Technical documentationcloud.google.com/­datastore/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9prometheus.io/­docsdocs.splunk.com/­Documentation/­Splunkdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleRocket Software (formerly Zumasys)Splunk Inc.The Linux Foundation infosince Feb 2023
Initial release20081991201520032020
Current release5.72.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0
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 languageGoC++, Java
Server operating systemshostedAIX
Linux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
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 possibleyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)Embedded SQL for jBASE in BASICnono infoSplunk Search Processing Language for search commandsyes
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 RESTJDBC
MySQL protocol
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
Java
Server-side scripts infoStored proceduresusing Google App Engineyesnoyesuser defined functions
TriggersCallbacks using the Google Apps Engineyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyes infoby FederationMulti-source 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononono
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 searchingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnonono
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 rolesRole based access control and fine grained access rights

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More resources
Google Cloud DatastorejBASEPrometheusSplunkStarRocks
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