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DBMS > IBM Db2 Event Store vs. Kinetica vs. LMDB vs. RRDtool

System Properties Comparison IBM Db2 Event Store vs. Kinetica vs. LMDB vs. RRDtool

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database libraryIndustry 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.
Primary database modelEvent Store
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.symas.com/­symas-embedded-database-lmdboss.oetiker.ch/­rrdtool
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comwww.lmdb.tech/­docoss.oetiker.ch/­rrdtool/­doc
DeveloperIBMKineticaSymasTobias Oetiker
Initial release2017201220111999
Current release2.07.1, August 20210.9.32, January 20241.8.0, 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen SourceOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, C++CC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
Unix
Windows
HP-UX
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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 possible
Secondary indexesnoyesnono
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
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
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnono

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More resources
IBM Db2 Event StoreKineticaLMDBRRDtool
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