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DBMS > Drizzle vs. GBase vs. GridGain vs. RRDtool

System Properties Comparison Drizzle vs. GBase vs. GridGain vs. RRDtool

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGBase  Xexclude from comparisonGridGain  Xexclude from comparisonRRDtool  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GridGain is an in-memory computing platform, built on Apache IgniteIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.gbase.cnwww.gridgain.comoss.oetiker.ch/­rrdtool
Technical documentationwww.gridgain.com/­docs/­index.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperDrizzle project, originally started by Brian AkerGeneral Data Technology Co., Ltd.GridGain Systems, Inc.Tobias Oetiker
Initial release2008200420071999
Current release7.2.4, September 2012GBase 8a, GBase 8s, GBase 8cGridGain 8.5.11.8.0, 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonJava, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
HP-UX
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.yesyesno infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
in-process shared library
Pipes
Supported programming languagesC
C++
Java
PHP
C#C#
C++
Java
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersno infohooks for callbacks inside the server can be used.yesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
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.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesSecurity Hooks for custom implementationsno

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More resources
DrizzleGBaseGridGainRRDtool
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