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DBMS > Blueflood vs. GeoMesa vs. IBM Db2 Event Store vs. LokiJS vs. Riak KV

System Properties Comparison Blueflood vs. GeoMesa vs. IBM Db2 Event Store vs. LokiJS vs. Riak KV

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLokiJS  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed Event Store optimized for Internet of Things use casesIn-memory JavaScript DBMSDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSSpatial DBMSEvent Store
Time Series DBMS
Document storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#350  Overall
#33  Time Series DBMS
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.52
Rank#259  Overall
#41  Document stores
Score4.95
Rank#76  Overall
#9  Key-value stores
Websiteblueflood.iowww.geomesa.orgwww.ibm.com/­products/­db2-event-storegithub.com/­techfort/­LokiJS
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­docs/­en/­db2-event-storetechfort.github.io/­LokiJSwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperRackspaceCCRi and othersIBMOpenSource, formerly Basho Technologies
Initial release20132014201720142009
Current release4.0.5, February 20242.03.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0commercial infofree developer edition availableOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC and C++JavaScriptErlang
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Data schemepredefined schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesnoyesnoyes infovia viewsrestricted
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenono
APIs and other access methodsHTTP RESTADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JavaScript APIHTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyesView functions in JavaScriptErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandradepending on storage layerShardingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandradepending on storage layerActive-active shard replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
depending on storage layerEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoyes, using Riak Security

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More resources
BluefloodGeoMesaIBM Db2 Event StoreLokiJSRiak KV
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