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DBMS > Google Cloud Datastore vs. HBase vs. IRONdb vs. jBASE vs. Yanza

System Properties Comparison Google Cloud Datastore vs. HBase vs. IRONdb vs. jBASE vs. Yanza

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHBase  Xexclude from comparisonIRONdb  Xexclude from comparisonjBASE  Xexclude from comparisonYanza  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWide-column store based on Apache Hadoop and on concepts of BigTableA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA robust multi-value DBMS comprising development tools and middlewareTime Series DBMS for IoT Applications
Primary database modelDocument storeWide column storeTime Series DBMSMultivalue DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websitecloud.google.com/­datastorehbase.apache.orgwww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseyanza.com
Technical documentationcloud.google.com/­datastore/­docshbase.apache.org/­book.htmldocs.circonus.com/irondb/category/getting-starteddocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetCirconus LLC.Rocket Software (formerly Zumasys)Yanza
Initial release20082008201719912015
Current release2.3.4, January 2021V0.10.20, January 20185.7
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
LinuxAIX
Linux
Windows
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereoptions to bring your own types, AVROyes infotext, numeric, histogramsoptionalno
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.nononoyesno
Secondary indexesyesnonono
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query language (Circonus Analytics Query Language: CAQL)Embedded SQL for jBASE in BASICno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App Engineyes infoCoprocessors in Javayes, in Luayesno
TriggersCallbacks using the Google Apps Engineyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonono
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 Consistency or Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsSingle row ACID (across millions of columns)noACIDno
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights can be defined down to the item levelno

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More resources
Google Cloud DatastoreHBaseIRONdbjBASEYanza
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