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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Blueflood vs. Drizzle vs. GridDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Blueflood vs. Drizzle vs. GridDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonGridDB  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.
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumScalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlblueflood.iogriddb.net
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewgithub.com/­rax-maas/­blueflood/­wikidocs.griddb.net
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupRackspaceDrizzle project, originally started by Brian AkerToshiba Corporation
Initial release2016201320082013
Current release7.2.4, September 20125.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedLinux
OS X
FreeBSD
Linux
OS X
Linux
Data schemeyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesC
Java
Perl
Python
R
C
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersyesnono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-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 jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at container level
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBBluefloodDrizzleGridDB
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
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBBluefloodDrizzleGridDB
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