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DBMS > Google Cloud Datastore vs. H2 vs. Memcached vs. RRDtool

System Properties Comparison Google Cloud Datastore vs. H2 vs. Memcached vs. RRDtool

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonMemcached  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.In-memory key-value store, originally intended for cachingIndustry 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.
Primary database modelDocument storeRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitecloud.google.com/­datastorewww.h2database.comwww.memcached.orgoss.oetiker.ch/­rrdtool
Technical documentationcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmlgithub.com/­memcached/­memcached/­wikioss.oetiker.ch/­rrdtool/­doc
DeveloperGoogleThomas MuellerDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTobias Oetiker
Initial release2008200520031999
Current release2.2.220, July 20231.6.25, March 20241.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD licenseOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
HP-UX
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesnoNumeric data only
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.nonono infoExporting into and restoring from XML files possible
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like query language (GQL)yesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocolin-process shared library
Pipes
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
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
Server-side scripts infoStored proceduresusing Google App EngineJava Stored Procedures and User-Defined Functionsnono
TriggersCallbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databasenone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
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 Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
Google Cloud DatastoreH2MemcachedRRDtool
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