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DBMS > Blueflood vs. eXtremeDB vs. GeoMesa vs. Riak KV

System Properties Comparison Blueflood vs. eXtremeDB vs. GeoMesa vs. Riak KV

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraNatively in-memory DBMS with options for persistency, high-availability and clusteringGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed, fault tolerant key-value store
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Spatial DBMSKey-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
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteblueflood.iowww.mcobject.comwww.geomesa.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.mcobject.com/­docs/­extremedb.htmwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperRackspaceMcObjectCCRi and othersOpenSource, formerly Basho Technologies
Initial release2013200120142009
Current release8.2, 20214.0.5, February 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++ScalaErlang
Server operating systemsLinux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Data schemepredefined schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono infosupport of XML interfaces availablenono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnono
APIs and other access methodsHTTP REST.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C 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 proceduresnoyesnoErlang
Triggersnoyes infoby defining eventsnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning / shardingdepending on storage layerSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
depending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesdepending on storage layer
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageyes, using Riak Security
More information provided by the system vendor
BluefloodeXtremeDBGeoMesaRiak KV
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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BluefloodeXtremeDBGeoMesaRiak KV
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