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DBMS > Interbase vs. KairosDB vs. Spark SQL vs. YTsaurus

System Properties Comparison Interbase vs. KairosDB vs. Spark SQL vs. YTsaurus

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonKairosDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandDistributed Time Series DBMS based on Cassandra or H2Spark SQL is a component on top of 'Spark Core' for structured data processingYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.embarcadero.com/­products/­interbasegithub.com/­kairosdb/­kairosdbspark.apache.org/­sqlytsaurus.tech
Technical documentationdocs.embarcadero.com/­products/­interbasekairosdb.github.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmlytsaurus.tech/­docs/­en
DeveloperEmbarcaderoApache Software FoundationYandex
Initial release1984201320142023
Current releaseInterBase 2020, December 20191.2.2, November 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScalaC++
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Ubuntu
Data schemeyesschema-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.no infoexport as XML data possiblenonono
Secondary indexesyesnono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsYQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
JavaScript infoNode.js
PHP
Python
Java
Python
R
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languagenono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrayes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlnoAccess Control Lists

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InterbaseKairosDBSpark SQLYTsaurus
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