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DBMS > Google Cloud Datastore vs. HBase vs. Microsoft Azure Table Storage vs. SAP HANA vs. UniData,UniVerse

System Properties Comparison Google Cloud Datastore vs. HBase vs. Microsoft Azure Table Storage vs. SAP HANA vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP HANA  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsIn-memory, column based data store. Available as appliance or cloud serviceMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeWide column storeWide column storeRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.45
Rank#67  Overall
#12  Document stores
Score42.45
Rank#26  Overall
#2  Wide column stores
Score5.53
Rank#77  Overall
#5  Wide column stores
Score54.96
Rank#21  Overall
#13  Relational DBMS
Score4.44
Rank#85  Overall
#2  Multivalue DBMS
Websitecloud.google.com/­datastorehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­hana.htmlwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationcloud.google.com/­datastore/­docshbase.apache.orghelp.sap.com/­hanawww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSAPRocket Software
Initial release20082008201220101985
Current release2.3.4, January 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
hostedAppliance or cloud-serviceAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, details hereoptions to bring your own types, AVROyesyesoptional
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
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
RESTful HTTP APIJDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresusing Google App Engineyes infoCoprocessors in JavanoSQLScript, Ryes
TriggersCallbacks using the Google Apps Engineyesnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
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)optimistic lockingACIDACID infoconfigurable
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 & ABACAccess rights based on private key authentication or shared access signaturesyesAccess rights according to SQL-standard and operating system based

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Google Cloud DatastoreHBaseMicrosoft Azure Table StorageSAP HANAUniData,UniVerse
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