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DBMS > Blueflood vs. Databricks vs. Drizzle vs. Transwarp StellarDB

System Properties Comparison Blueflood vs. Databricks vs. Drizzle vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonTranswarp StellarDB  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.
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 distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websiteblueflood.iowww.databricks.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.com
DeveloperRackspaceDatabricksDrizzle project, originally started by Brian AkerTranswarp
Initial release201320132008
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++
Server operating systemsLinux
OS X
hostedFreeBSD
Linux
OS X
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
JDBCOpenCypher
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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, HTTPyes
More information provided by the system vendor
BluefloodDatabricksDrizzleTranswarp StellarDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BluefloodDatabricksDrizzleTranswarp StellarDB
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