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DBMS > Apache Kylin vs. Geode vs. Quasardb

System Properties Comparison Apache Kylin vs. Geode vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGeode  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitekylin.apache.orggeode.apache.orgquasar.ai
Technical documentationkylin.apache.org/­docsgeode.apache.org/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from eBay IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.quasardb
Initial release201520022009
Current release3.1.0, July 20201.1, February 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredBSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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 indexesyesnoyes infowith tags
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language (OQL)SQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights per client and object definableCryptographically strong user authentication and audit trail

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More resources
Apache KylinGeodeQuasardb
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