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DBMS > Apache Kylin vs. Graph Engine vs. IBM Db2 Event Store vs. RRDtool vs. TempoIQ

System Properties Comparison Apache Kylin vs. Graph Engine vs. IBM Db2 Event Store vs. RRDtool vs. TempoIQ

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRRDtool  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed Event Store optimized for Internet of Things use casesIndustry 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.Scalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSGraph DBMS
Key-value store
Event Store
Time Series DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitekylin.apache.orgwww.graphengine.iowww.ibm.com/­products/­db2-event-storeoss.oetiker.ch/­rrdtooltempoiq.com (offline)
Technical documentationkylin.apache.org/­docswww.graphengine.io/­docs/­manualwww.ibm.com/­docs/­en/­db2-event-storeoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation, originally contributed from eBay IncMicrosoftIBMTobias OetikerTempoIQ
Initial release20152010201719992012
Current release3.1.0, July 20202.01.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infofree developer edition availableOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CC and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux.NETLinux infoLinux, macOS, Windows for the developer additionHP-UX
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.nononono infoExporting into and restoring from XML files possibleno
Secondary indexesyesnono
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes infothrough the embedded Spark runtimenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyesyesnono
Triggersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple authentication-based access control

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More resources
Apache KylinGraph Engine infoformer name: TrinityIBM Db2 Event StoreRRDtoolTempoIQ infoformerly TempoDB
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