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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. Oracle Rdb vs. Splunk vs. VelocityDB

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. Oracle Rdb vs. Splunk vs. VelocityDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSplunk  Xexclude from comparisonVelocityDB  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.Analytics Platform for Big DataA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeTime Series DBMSRelational DBMSSearch engineGraph DBMS
Object oriented 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
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitecloud.google.com/­datastorewww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.splunk.comvelocitydb.com
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.splunk.com/­Documentation/­Splunkvelocitydb.com/­UserGuide
DeveloperGoogleCommunity supported by Red HatOracle, originally developed by Digital Equipment Corporation (DEC)Splunk Inc.VelocityDB Inc
Initial release20082014198420032011
Current release7.4.1.1, 20217.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infoLimited free edition and free developer edition availablecommercial
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 languageJavaC#
Server operating systemshostedLinux
OS X
Windows
HP Open VMSLinux
OS X
Solaris
Windows
Any that supports .NET
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nononoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTHTTP REST.Net
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresusing Google App Enginenoyesno
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular AlertingyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraMulti-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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnoyes, on a single nodeno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
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.nonononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users and rolesBased on Windows Authentication

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More resources
Google Cloud DatastoreHawkular MetricsOracle RdbSplunkVelocityDB
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