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DBMS > 4D vs. Altibase vs. Databricks vs. GigaSpaces vs. GridGain

System Properties Comparison 4D vs. Altibase vs. Databricks vs. GigaSpaces vs. GridGain

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAltibase  Xexclude from comparisonDatabricks  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn enterprise grade, high-performance RDBMSThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websitewww.4d.comaltibase.comwww.databricks.comwww.gigaspaces.comwww.gridgain.com
Technical documentationdeveloper.4d.comgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.html
Developer4D, IncAltibaseDatabricksGigaspaces TechnologiesGridGain Systems, Inc.
Initial release19841999201320002007
Current releasev20, April 2023v7.3, 2023, August 202315.5, September 2020GridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJava, C++, .Net
Server operating systemsOS X
Windows
AIX
HP-UX
Linux
hostedLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-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.yesnoyesno infoXML can be used for describing objects metadatayes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL-92with Databricks SQLSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
Python
R
Scala
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesstored procedures and stored functionsuser defined functions and aggregatesyesyes (compute grid and cache interceptors can be used instead)
Triggersyesyesyes, event driven architectureyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.noyesnoyesyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardRole-based access controlSecurity Hooks for custom implementations
More information provided by the system vendor
4D infoformer name: 4th DimensionAltibaseDatabricksGigaSpacesGridGain
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionAltibaseDatabricksGigaSpacesGridGain
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