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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Bangdb vs. Cachelot.io vs. Drizzle

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Bangdb vs. Cachelot.io vs. Drizzle

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonBangdb  Xexclude from comparisonCachelot.io  Xexclude from comparisonDrizzle  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 GreenplumConverged and high performance database for device data, events, time series, document and graphIn-memory caching systemMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlbangdb.comcachelot.io
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewdocs.bangdb.com
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupSachin Sinha, BangDBDrizzle project, originally started by Brian Aker
Initial release2016201220152008
Current releaseBangDB 2.0, October 20217.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoSimplified BSD LicenseOpen Source infoGNU GPL
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++
Server operating systemshostedLinuxFreeBSD
Linux
OS X
FreeBSD
Linux
OS X
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLyesSQL like support with command line toolnoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
Memcached protocolJDBC
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
PHP
Server-side scripts infoStored proceduresyesnonono
Triggersyesyes, Notifications (with Streaming only)nono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglynone
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)noPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBBangdbCachelot.ioDrizzle
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