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DBMS > Blueflood vs. Drizzle vs. EDB Postgres vs. RavenDB

System Properties Comparison Blueflood vs. Drizzle vs. EDB Postgres vs. RavenDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonEDB Postgres  Xexclude from comparisonRavenDB  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 CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score1.86
Rank#131  Overall
#61  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websiteblueflood.iowww.enterprisedb.comravendb.net
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.enterprisedb.com/­docsravendb.net/­docs
DeveloperRackspaceDrizzle project, originally started by Brian AkerEnterpriseDBHibernating Rhinos
Initial release2013200820052010
Current release7.2.4, September 201214, December 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infoBSD for PostgreSQL-componentsOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC#
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
Linux
Windows
Linux
macOS
Raspberry Pi
Windows
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infostandard with numerous extensionsSQL-like query language (RQL)
APIs and other access methodsHTTP RESTJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnono infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infoby hash, list or rangeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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, HTTPfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
BluefloodDrizzleEDB PostgresRavenDB
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