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DBMS > IBM Db2 Event Store vs. Lovefield vs. Memcached vs. Quasardb

System Properties Comparison IBM Db2 Event Store vs. Lovefield vs. Memcached vs. Quasardb

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparisonMemcached  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScriptIn-memory key-value store, originally intended for cachingDistributed, high-performance timeseries database
Primary database modelEvent Store
Time Series DBMS
Relational DBMSKey-value storeTime 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefieldwww.memcached.orgquasar.ai
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­memcached/­memcached/­wikidoc.quasar.ai/­master
DeveloperIBMGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release2017201420032009
Current release2.02.1.12, February 20171.6.27, May 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoBSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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++JavaScriptCC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes 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 indexesnoyesnoyes infowith tags
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder patternnoSQL-like query language
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocolHTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnonono
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnonenone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocolCryptographically strong user authentication and audit trail

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More resources
IBM Db2 Event StoreLovefieldMemcachedQuasardb
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