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DBMS > 4D vs. GigaSpaces vs. Hawkular Metrics vs. PlanetScale

System Properties Comparison 4D vs. GigaSpaces vs. Hawkular Metrics vs. PlanetScale

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitewww.4d.comwww.gigaspaces.comwww.hawkular.orgplanetscale.com
Technical documentationdeveloper.4d.comdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guideplanetscale.com/­docs
Developer4D, IncGigaspaces TechnologiesCommunity supported by Red HatPlanetScale
Initial release1984200020142020
Current releasev20, April 202315.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaGo
Server operating systemsOS X
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
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.yesno infoXML can be used for describing objects metadatano
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-99 for query and DML statementsnoyes infowith proprietary extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages4D proprietary IDE
PHP
.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesnoyes infoproprietary syntax
Triggersyesyes, event driven architectureyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesnoyes
User concepts infoAccess controlUsers and groupsRole-based access controlnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
4D infoformer name: 4th DimensionGigaSpacesHawkular MetricsPlanetScale
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