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DBMS > Google Cloud Datastore vs. H2GIS vs. Hawkular Metrics vs. RRDtool vs. STSdb

System Properties Comparison Google Cloud Datastore vs. H2GIS vs. Hawkular Metrics vs. RRDtool vs. STSdb

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonH2GIS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRRDtool  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpatial extension of H2Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeSpatial DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational 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#383  Overall
#7  Spatial DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitecloud.google.com/­datastorewww.h2gis.orgwww.hawkular.orgoss.oetiker.ch/­rrdtoolgithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­datastore/­docswww.h2gis.org/­docs/­homewww.hawkular.org/­hawkular-metrics/­docs/­user-guideoss.oetiker.ch/­rrdtool/­doc
DeveloperGoogleCNRSCommunity supported by Red HatTobias OetikerSTS Soft SC
Initial release20082013201419992011
Current release1.8.0, 20224.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoGPL V2 and FLOSSOpen Source infoGPLv2, commercial license 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 languageJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC#
Server operating systemshostedLinux
OS X
Windows
HP-UX
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesNumeric data onlyyes infoprimitive types and user defined types (classes)
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesnonono
SQL infoSupport of SQLSQL-like query language (GQL)yesnonono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTin-process shared library
Pipes
.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaGo
Java
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresusing Google App Engineyes infobased on H2nonono
TriggersCallbacks using the Google Apps Engineyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infobased on H2selectable replication factor infobased on Cassandranonenone
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.Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoby using the rrdcached daemonyes
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2nonono

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More resources
Google Cloud DatastoreH2GISHawkular MetricsRRDtoolSTSdb
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