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DBMS > Interbase vs. LeanXcale vs. Netezza

System Properties Comparison Interbase vs. LeanXcale vs. Netezza

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonLeanXcale  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.72
Rank#76  Overall
#40  Relational DBMS
Score0.27
Rank#288  Overall
#41  Key-value stores
#130  Relational DBMS
Score7.34
Rank#48  Overall
#30  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.leanxcale.comwww.ibm.com/­products/­netezza
Technical documentationdocs.embarcadero.com/­products/­interbase
DeveloperEmbarcaderoLeanXcaleIBM
Initial release198420152000
Current releaseInterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.no infoexport as XML data possible
Secondary indexesyesyes
SQL infoSupport of SQLyesyes infothrough Apache Derbyyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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 dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
InterbaseLeanXcaleNetezza infoAlso called PureData System for Analytics by IBM
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