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DBMS > Blueflood vs. FatDB vs. LeanXcale vs. Lovefield

System Properties Comparison Blueflood vs. FatDB vs. LeanXcale vs. Lovefield

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFatDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonLovefield  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable TimeSeries DBMS based on CassandraA .NET NoSQL DBMS that can integrate with and extend SQL Server.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelTime Series DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websiteblueflood.iowww.leanxcale.comgoogle.github.io/­lovefield
Technical documentationgithub.com/­rax-maas/­blueflood/­wikigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperRackspaceFatCloudLeanXcaleGoogle
Initial release2013201220152014
Current release2.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen 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 languageJavaC#JavaScript
Server operating systemsLinux
OS X
Windowsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemepredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infothrough Apache DerbySQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP REST.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#C
Java
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infovia applicationsno
Triggersnoyes infovia applicationsUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsno

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More resources
BluefloodFatDBLeanXcaleLovefield
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