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DBMS > Blueflood vs. Drizzle vs. Geode vs. GridDB vs. MaxDB

System Properties Comparison Blueflood vs. Drizzle vs. Geode vs. GridDB vs. MaxDB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonGridDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesScalable in-memory time series database optimized for IoT and Big DataA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelTime Series DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websiteblueflood.iogeode.apache.orggriddb.netmaxdb.sap.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikigeode.apache.org/­docsdocs.griddb.netmaxdb.sap.com/­documentation
DeveloperRackspaceDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Toshiba CorporationSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20132008200220131984
Current release7.2.4, September 20121.1, February 20175.1, August 20227.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++C++
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemepredefined schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query language (OQL)SQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsHTTP RESTJDBCJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsnoyes
Triggersnono infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
BluefloodDrizzleGeodeGridDBMaxDB infoformerly named Adabas-D
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BluefloodDrizzleGeodeGridDBMaxDB infoformerly named Adabas-D
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