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DBMS > 4D vs. Geode vs. Google Cloud Spanner vs. Hive

System Properties Comparison 4D vs. Geode vs. Google Cloud Spanner vs. Hive

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHive  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitewww.4d.comgeode.apache.orgcloud.google.com/­spannerhive.apache.org
Technical documentationdeveloper.4d.comgeode.apache.org/­docscloud.google.com/­spanner/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
Developer4D, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleApache Software Foundation infoinitially developed by Facebook
Initial release1984200220172012
Current releasev20, April 20231.1, February 20173.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsOS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedAll OS with a Java VM
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query language (OQL)yes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages4D proprietary IDE
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infouser defined functions and integration of map-reduce
Triggersyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationMulti-source replication with 3 replicas for regional instances.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers and groupsAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles

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4D infoformer name: 4th DimensionGeodeGoogle Cloud SpannerHive
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