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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. Google Cloud Datastore vs. Trafodion

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. Google Cloud Datastore vs. Trafodion

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 graphAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlbangdb.comcloud.google.com/­datastoretrafodion.apache.org
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.bangdb.comcloud.google.com/­datastore/­docstrafodion.apache.org/­documentation.html
DeveloperAlibabaSachin Sinha, BangDBGoogleApache Software Foundation, originally developed by HP
Initial release201220082014
Current releaseBangDB 2.0, October 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++, Java
Server operating systemshostedLinuxhostedLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes, details hereyes
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.yesnonono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolSQL-like query language (GQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnousing Google App EngineJava Stored Procedures
Triggersyesyes, Notifications (with Streaming only)Callbacks using the Google Apps Engineno
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)Multi-source replication using Paxosyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
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 modenono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLBangdbGoogle Cloud DatastoreTrafodion
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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Alibaba Cloud AnalyticDB for MySQLBangdbGoogle Cloud DatastoreTrafodion
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