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DBMS > Apache Kylin vs. GigaSpaces vs. RRDtool vs. StarRocks

System Properties Comparison Apache Kylin vs. GigaSpaces vs. RRDtool vs. StarRocks

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRRDtool  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitekylin.apache.orgwww.gigaspaces.comoss.oetiker.ch/­rrdtoolwww.starrocks.io
Technical documentationkylin.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmloss.oetiker.ch/­rrdtool/­docdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation, originally contributed from eBay IncGigaspaces TechnologiesTobias OetikerThe Linux Foundation infosince Feb 2023
Initial release2015200019992020
Current release3.1.0, July 202015.5, September 20201.8.0, 20222.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V2 and FLOSSOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# availableC++, Java
Server operating systemsLinuxLinux
macOS
Solaris
Windows
HP-UX
Linux
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.nono infoXML can be used for describing objects metadatano infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-99 for query and DML statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
in-process shared library
Pipes
JDBC
MySQL protocol
Supported programming languages.Net
C++
Java
Python
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Java
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.noyesyesno
User concepts infoAccess controlRole-based access controlnoRole based access control and fine grained access rights

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More resources
Apache KylinGigaSpacesRRDtoolStarRocks
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