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DBMS > Altibase vs. Greenplum vs. Spark SQL

System Properties Comparison Altibase vs. Greenplum vs. Spark SQL

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGreenplum  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comgreenplum.orgspark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.greenplum.orgspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibasePivotal Software Inc.Apache Software Foundation
Initial release199920052014
Current releasev7.3, 2023, August 20237.0.0, September 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemsAIX
HP-UX
Linux
LinuxLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infosince Version 4.2no
Secondary indexesyesyesno
SQL infoSupport of SQLANSI SQL-92yesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Java
C
Java
Perl
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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AltibaseGreenplumSpark SQL
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