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DBMS > 4D vs. Apache Kylin vs. GigaSpaces vs. Graph Engine vs. NSDb

System Properties Comparison 4D vs. Apache Kylin vs. GigaSpaces vs. Graph Engine vs. NSDb

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Kylin  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.4d.comkylin.apache.orgwww.gigaspaces.comwww.graphengine.ionsdb.io
Technical documentationdeveloper.4d.comkylin.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualnsdb.io/­Architecture
Developer4D, IncApache Software Foundation, originally contributed from eBay IncGigaspaces TechnologiesMicrosoft
Initial release19842015200020102017
Current releasev20, April 20233.1.0, July 202015.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net.NET and CJava, Scala
Server operating systemsOS X
Windows
LinuxLinux
macOS
Solaris
Windows
.NETLinux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes: int, bigint, decimal, string
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL for queries (using Apache Calcite)SQL-99 for query and DML statementsnoSQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languages4D proprietary IDE
PHP
.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
Java
Scala
Server-side scripts infoStored proceduresyesyesyesno
Triggersyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers and groupsRole-based access control

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More resources
4D infoformer name: 4th DimensionApache KylinGigaSpacesGraph Engine infoformer name: TrinityNSDb
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