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DBMS > Apache Impala vs. Interbase vs. OpenTenBase vs. Yanza

System Properties Comparison Apache Impala vs. Interbase vs. OpenTenBase vs. Yanza

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInterbase  Xexclude from comparisonOpenTenBase  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopLight-weight proven RDBMS infooriginally from BorlandAn enterprise-level distributed HTAP open source database based on PostgreSQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Websiteimpala.apache.orgwww.embarcadero.com/­products/­interbasegithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
yanza.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.embarcadero.com/­products/­interbasedocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEmbarcaderoOpenAtom Foundation, previously TencentYanza
Initial release201319842015
Current release4.1.0, June 2022InterBase 2020, December 20192.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSD-3commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
LinuxWindows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono infoexport as XML data possibleno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Go
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageno
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInterbase Change Viewsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache ImpalaInterbaseOpenTenBaseYanza
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