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DBMS > IBM Db2 Event Store vs. KeyDB vs. Lovefield vs. Splunk vs. Tkrzw

System Properties Comparison IBM Db2 Event Store vs. KeyDB vs. Lovefield vs. Splunk vs. Tkrzw

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonSplunk  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptAnalytics Platform for Big DataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelEvent Store
Time Series DBMS
Key-value storeRelational DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storegithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldwww.splunk.comdbmx.net/­tkrzw
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.splunk.com/­Documentation/­Splunk
DeveloperIBMEQ Alpha Technology Ltd.GoogleSplunk Inc.Mikio Hirabayashi
Initial release20172019201420032020
Current release2.02.1.12, February 20170.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoBSD-3Open Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++JavaScriptC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesno
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.nononoyesno
Secondary indexesnoyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoSQL-like query language infovia JavaScript builder patternno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScriptC#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesLuanoyesno
TriggersnonoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication
Source-replica replication
noneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDBnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLnoAccess rights for users and rolesno

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IBM Db2 Event StoreKeyDBLovefieldSplunkTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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