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DBMS > Blueflood vs. Databricks vs. Drizzle vs. FatDB

System Properties Comparison Blueflood vs. Databricks vs. Drizzle vs. FatDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonFatDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable TimeSeries DBMS based on CassandraThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websiteblueflood.iowww.databricks.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.com
DeveloperRackspaceDatabricksDrizzle project, originally started by Brian AkerFatCloud
Initial release2013201320082012
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsLinux
OS X
hostedFreeBSD
Linux
OS X
Windows
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
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.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnowith Databricks SQLyes infowith proprietary extensionsno infoVia inetgration in SQL Server
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
JDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
C#
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes infovia applications
Triggersnono infohooks for callbacks inside the server can be used.yes infovia applications
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applications
More information provided by the system vendor
BluefloodDatabricksDrizzleFatDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BluefloodDatabricksDrizzleFatDB
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