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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. IBM Db2 vs. SiteWhere vs. VelocityDB

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. IBM Db2 vs. SiteWhere vs. VelocityDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSiteWhere  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.Common in IBM host environments, 2 different versions for host and Windows/LinuxM2M integration platform for persisting/querying time series dataA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Websitecloud.google.com/­datastorewww.hawkular.orgwww.ibm.com/­products/­db2github.com/­sitewhere/­sitewherevelocitydb.com
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­docs/­en/­db2sitewhere1.sitewhere.io/­index.htmlvelocitydb.com/­UserGuide
DeveloperGoogleCommunity supported by Red HatIBMSiteWhereVelocityDB Inc
Initial release200820141983 infohost version20102011
Current release12.1, October 20167.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree version is availableOpen Source infoCommon Public Attribution License Version 1.0commercial
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 and C++JavaC#
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Windows
Any that supports .NET
Data schemeschema-freeschema-freeyespredefined schemeyes
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.nononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP REST.Net
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.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 CassandraSharding infoonly with Windows/Unix/Linux VersionSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on Cassandrayes infowith separate tools (MQ, InfoSphere)selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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 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 TransactionsnoACIDnoACID
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardUsers with fine-grained authorization conceptBased on Windows Authentication

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More resources
Google Cloud DatastoreHawkular MetricsIBM Db2 infoformerly named DB2 or IBM Database 2SiteWhereVelocityDB
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