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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. Memcached vs. PostGIS vs. Splunk

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. Memcached vs. PostGIS vs. Splunk

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemcached  Xexclude from comparisonPostGIS  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory key-value store, originally intended for cachingSpatial extension of PostgreSQLAnalytics Platform for Big Data
Primary database modelDocument storeTime Series DBMSKey-value storeSpatial DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­datastorewww.hawkular.orgwww.memcached.orgpostgis.netwww.splunk.com
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­memcached/­memcached/­wikipostgis.net/­documentationdocs.splunk.com/­Documentation/­Splunk
DeveloperGoogleCommunity supported by Red HatDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSplunk Inc.
Initial release20082014200320052003
Current release1.6.27, May 20243.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoGPL v2.0commercial infoLimited free edition and free developer edition 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 languageJavaCC
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes
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.nonoyesyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTProprietary protocolHTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenonouser defined functionsyes
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranoneyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on Cassandranone infoRepcached, a Memcached patch, provides this functionallityyes infobased on PostgreSQLMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononoyes
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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infousing SASL (Simple Authentication and Security Layer) protocolyes infobased on PostgreSQLAccess rights for users and roles

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More resources
Google Cloud DatastoreHawkular MetricsMemcachedPostGISSplunk
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