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DBMS > Apache Kylin vs. FatDB vs. IBM Db2 Event Store vs. OrientDB

System Properties Comparison Apache Kylin vs. FatDB vs. IBM Db2 Event Store vs. OrientDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrientDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Event Store optimized for Internet of Things use casesMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument store
Key-value store
Event Store
Time Series DBMS
Document store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitekylin.apache.orgwww.ibm.com/­products/­db2-event-storeorientdb.org
Technical documentationkylin.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storewww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncFatCloudIBMOrientDB LTD; CallidusCloud; SAP
Initial release2015201220172010
Current release3.1.0, July 20202.03.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C and C++Java
Server operating systemsLinuxWindowsLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)no infoVia inetgration in SQL Serveryes infothrough the embedded Spark runtimeSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infovia applicationsyesJava, Javascript
Triggersyes infovia applicationsnoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
Apache KylinFatDBIBM Db2 Event StoreOrientDB
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