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DBMS > Google Cloud Datastore vs. Hive vs. Interbase vs. NuoDB vs. Oracle Coherence

System Properties Comparison Google Cloud Datastore vs. Hive vs. Interbase vs. NuoDB vs. Oracle Coherence

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHive  Xexclude from comparisonInterbase  Xexclude from comparisonNuoDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platformdata warehouse software for querying and managing large distributed datasets, built on HadoopLight-weight proven RDBMS infooriginally from BorlandNuoDB is a webscale distributed database that supports SQL and ACID transactionsOracles in-memory data grid solution
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitecloud.google.com/­datastorehive.apache.orgwww.embarcadero.com/­products/­interbasewww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­java/­coherence
Technical documentationcloud.google.com/­datastore/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasedoc.nuodb.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookEmbarcaderoDassault Systèmes infooriginally NuoDB, Inc.Oracle
Initial release20082012198420132007
Current release3.1.3, April 2022InterBase 2020, December 201914.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial infolimited edition freecommercial
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 languageJavaCC++Java
Server operating systemshostedAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nono infoexport as XML data possiblenono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like DML and DDL statementsyesyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresusing Google App Engineyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageJava, SQLno
TriggersCallbacks using the Google Apps Enginenoyesyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factorInterbase Change Viewsyes infoManaged transparently by NuoDByes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infoquery execution via MapReducenonono
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.Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID infotunable commit protocolconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersauthentification to access the cache via certificates or http basic authentication

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More resources
Google Cloud DatastoreHiveInterbaseNuoDBOracle Coherence
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