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DBMS > EventStoreDB vs. Interbase vs. Kyligence Enterprise vs. Spark SQL

System Properties Comparison EventStoreDB vs. Interbase vs. Kyligence Enterprise vs. Spark SQL

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Light-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelEvent StoreRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.eventstore.comwww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprisespark.apache.org/­sql
Technical documentationdevelopers.eventstore.comdocs.embarcadero.com/­products/­interbasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedEmbarcaderoKyligence, Inc.Apache Software Foundation
Initial release2012198420162014
Current release21.2, February 2021InterBase 2020, December 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScala
Server operating systemsLinux
Windows
Android
iOS
Linux
OS X
Windows
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.no infoexport as XML data possiblenono
Secondary indexesyesyesno
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnone
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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EventStoreDBInterbaseKyligence EnterpriseSpark SQL
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