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DBMS > Apache Kylin vs. EventStoreDB vs. Transwarp StellarDB

System Properties Comparison Apache Kylin vs. EventStoreDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEventStoreDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
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.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSEvent StoreGraph 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
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitekylin.apache.orgwww.eventstore.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationkylin.apache.org/­docsdevelopers.eventstore.com
DeveloperApache Software Foundation, originally contributed from eBay IncEvent Store LimitedTranswarp
Initial release20152012
Current release3.1.0, July 202021.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinuxLinux
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
OpenCypher
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes

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More resources
Apache KylinEventStoreDBTranswarp StellarDB
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