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DBMS > Blueflood vs. eXtremeDB vs. Google Cloud Bigtable vs. SiteWhere

System Properties Comparison Blueflood vs. eXtremeDB vs. Google Cloud Bigtable vs. SiteWhere

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraNatively in-memory DBMS with options for persistency, high-availability and clusteringGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.M2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteblueflood.iowww.mcobject.comcloud.google.com/­bigtablegithub.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­bigtable/­docssitewhere1.sitewhere.io/­index.html
DeveloperRackspaceMcObjectGoogleSiteWhere
Initial release2013200120152010
Current release8.2, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsLinux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
Data schemepredefined schemeyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesnono
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
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning / shardingShardingSharding infobased on HBase
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
Internal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsno
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.noyesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept
More information provided by the system vendor
BluefloodeXtremeDBGoogle Cloud BigtableSiteWhere
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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BluefloodeXtremeDBGoogle Cloud BigtableSiteWhere
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