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DBMS > IBM Db2 Event Store vs. LMDB vs. MarkLogic vs. Prometheus

System Properties Comparison IBM Db2 Event Store vs. LMDB vs. MarkLogic vs. Prometheus

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonLMDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA high performant, light-weight, embedded key-value database libraryOperational and transactional Enterprise NoSQL databaseOpen-source Time Series DBMS and monitoring system
Primary database modelEvent Store
Time Series DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
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
Score2.09
Rank#121  Overall
#20  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.symas.com/­symas-embedded-database-lmdbwww.progress.com/­marklogicprometheus.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­docwww.progress.com/­marklogic/­documentationprometheus.io/­docs
DeveloperIBMSymasMarkLogic Corp.
Initial release2017201120012015
Current release2.00.9.32, January 202411.0, December 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0
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++CC++Go
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes
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.nonoyesno infoImport of XML data possible
Secondary indexesnonoyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyes infoSQL92no
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.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
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionno
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 storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access control at the document and subdocument levelsno

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More resources
IBM Db2 Event StoreLMDBMarkLogicPrometheus
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