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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. Citus vs. GridGain

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. Citus vs. GridGain

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonBangdb  Xexclude from comparisonCitus  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Converged and high performance database for device data, events, time series, document and graphScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument storeSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlbangdb.comwww.citusdata.comwww.gridgain.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.bangdb.comdocs.citusdata.comwww.gridgain.com/­docs/­index.html
DeveloperAlibabaSachin Sinha, BangDBGridGain Systems, Inc.
Initial release201220102007
Current releaseBangDB 2.0, October 20218.1, December 2018GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CJava, C++, .Net
Server operating systemshostedLinuxLinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.yesnoyes infospecific XML type available, but no XML query functionalityyes
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolyes infostandard, with numerous extensionsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes (compute grid and cache interceptors can be used instead)
Triggersyesyes, Notifications (with Streaming only)yesyes (cache interceptors and events)
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 algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)fine grained access rights according to SQL-standardSecurity Hooks for custom implementations
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLBangdbCitusGridGain
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLBangdbCitusGridGain
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