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DBMS > Blueflood vs. Drizzle vs. GridGain vs. RavenDB

System Properties Comparison Blueflood vs. Drizzle vs. GridGain vs. RavenDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  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.GridGain is an in-memory computing platform, built on Apache IgniteOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsGraph 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
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websiteblueflood.iowww.gridgain.comravendb.net
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.gridgain.com/­docs/­index.htmlravendb.net/­docs
DeveloperRackspaceDrizzle project, originally started by Brian AkerGridGain Systems, Inc.Hibernating Rhinos
Initial release2013200820072010
Current release7.2.4, September 2012GridGain 8.5.15.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial, open sourceOpen 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++Java, C++, .Net, Python, REST, SQLC#
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
z/OS
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLSQL-like query language (RQL)
APIs and other access methodsHTTP RESTJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.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
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes
Triggersnono infohooks for callbacks inside the server can be used.yes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
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.noyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access control
Security Hooks for custom implementations
Authorization levels configured per client per database

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BluefloodDrizzleGridGainRavenDB
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