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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. SAP SQL Anywhere vs. Splunk vs. Warp 10

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. SAP SQL Anywhere vs. Splunk vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplunk  Xexclude from comparisonWarp 10  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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAnalytics Platform for Big DataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSRelational DBMSSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitecloud.google.com/­datastorewww.hawkular.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.splunk.comwww.warp10.io
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehelp.sap.com/­docs/­SAP_SQL_Anywheredocs.splunk.com/­Documentation/­Splunkwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleCommunity supported by Red HatSAP infoformerly SybaseSplunk Inc.SenX
Initial release20082014199220032015
Current release17, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infoLimited free edition and free developer edition availableOpen Source infoApache License 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 languageJavaJava
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
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.nonoyesyesno
Secondary indexesyesnoyesyesno
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 RESTADO.NET
HTTP API
JDBC
ODBC
HTTP RESTHTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyes, in C/C++, Java, .Net or Perlyesyes infoWarpScript
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraSource-replica replication infoDatabase mirroringMulti-source replicationselectable replication factor infobased on HBase
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 infobased on HBase
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 TransactionsnoACIDno 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.nonoyesnoyes
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-standardAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud DatastoreHawkular MetricsSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunkWarp 10
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