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DBMS > DataFS vs. Google Cloud Datastore vs. Hawkular Metrics vs. HBase vs. OpenTSDB

System Properties Comparison DataFS vs. Google Cloud Datastore vs. Hawkular Metrics vs. HBase vs. OpenTSDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Automatically 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.Wide-column store based on Apache Hadoop and on concepts of BigTableScalable Time Series DBMS based on HBase
Primary database modelObject oriented DBMSDocument storeTime Series DBMSWide column storeTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websitenewdatabase.comcloud.google.com/­datastorewww.hawkular.orghbase.apache.orgopentsdb.net
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlopentsdb.net/­docs/­build/­html/­index.html
DeveloperMobiland AGGoogleCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by Powersetcurrently maintained by Yahoo and other contributors
Initial release20182008201420082011
Current release1.1.263, October 20222.3.4, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsWindowshostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesoptions to bring your own types, AVROnumeric data for metrics, strings for tags
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.nonononono
Secondary indexesnoyesnonono
SQL infoSupport of SQLnoSQL-like query language (GQL)nonono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTJava API
RESTful HTTP API
Thrift
HTTP API
Telnet API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyes infoCoprocessors in Javano
Triggersno, except callback-events from server when changes happenedCallbacks using the Google Apps Engineyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding infobased on CassandraShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 Consistency or Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoSingle row ACID (across millions of columns)no
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.nononoyesno
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
DataFSGoogle Cloud DatastoreHawkular MetricsHBaseOpenTSDB
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