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DBMS > Google Cloud Datastore vs. Prometheus vs. Quasardb vs. Splunk

System Properties Comparison Google Cloud Datastore vs. Prometheus vs. Quasardb vs. Splunk

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseAnalytics Platform for Big Data
Primary database modelDocument storeTime Series DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websitecloud.google.com/­datastoreprometheus.ioquasar.aiwww.splunk.com
Technical documentationcloud.google.com/­datastore/­docsprometheus.io/­docsdoc.quasar.ai/­masterdocs.splunk.com/­Documentation/­Splunk
DeveloperGooglequasardbSplunk Inc.
Initial release2008201520092003
Current release3.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemshostedLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereNumeric data onlyyes infointeger and binaryyes
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.nono infoImport of XML data possiblenoyes
Secondary indexesyesnoyes infowith tagsyes
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIHTTP APIHTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenonoyes
TriggersCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoby FederationSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownowith Hadoop integrationyes
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.noneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noCryptographically strong user authentication and audit trailAccess rights for users and roles

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More resources
Google Cloud DatastorePrometheusQuasardbSplunk
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