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DBMS > Apache Kylin vs. EventStoreDB vs. FoundationDB vs. H2 vs. Postgres-XL

System Properties Comparison Apache Kylin vs. EventStoreDB vs. FoundationDB vs. H2 vs. Postgres-XL

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackIndustrial-strength, open-source database solution built from the ground up for event sourcing.Ordered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSEvent StoreDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitekylin.apache.orgwww.eventstore.comgithub.com/­apple/­foundationdbwww.h2database.comwww.postgres-xl.org
Technical documentationkylin.apache.org/­docsdevelopers.eventstore.comapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation, originally contributed from eBay IncEvent Store LimitedFoundationDBThomas Mueller
Initial release20152012201320052014 infosince 2012, originally named StormDB
Current release3.1.0, July 202021.2, February 20216.2.28, November 20202.2.220, July 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
All OS with a Java VMLinux
macOS
Data schemeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)supported in specific SQL layer onlyyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlyJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache KylinEventStoreDBFoundationDBH2Postgres-XL
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