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DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. CrateDB vs. Google Cloud Bigtable vs. SWC-DB

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. CrateDB vs. Google Cloud Bigtable vs. SWC-DB

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Editorial information provided by DB-Engines
NameAlibaba Cloud ApsaraDB for PolarDB  Xexclude from comparisonCrateDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Distributed Date Store based on LuceneGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMS
Search engine
Key-value store
Wide column store
Wide column store
Secondary database modelsDocument store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#288  Overall
#133  Relational DBMS
Score1.06
Rank#198  Overall
#94  Relational DBMS
#14  Search engines
Score5.01
Rank#81  Overall
#12  Key-value stores
#8  Wide column stores
Score0.05
Rank#371  Overall
#13  Wide column stores
Websitewww.alibabacloud.com/­product/­polardbcrate.iocloud.google.com/­bigtablegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­58764.htmcrate.io/­docscloud.google.com/­bigtable/­docs
DeveloperAlibabaCrateGoogleAlex Kashirin
Initial release201320152020
Current release0.5, April 2021
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java 7 (and higher) VMhostedLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLyesyes, but no triggers and constraintsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocol
Thrift
Supported programming languagesJava
Python
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyAtomic single-row operations
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Alibaba Cloud ApsaraDB for PolarDBCrateDBGoogle Cloud BigtableSWC-DB infoSuper Wide Column Database
Specific characteristicsApsaraDB for PolarDB is a cloud-native relational database 100% compatible with MySQL...
» more
CrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
» more
CrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
» more
CrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
Alibaba Cloud ApsaraDB for PolarDBCrateDBGoogle Cloud BigtableSWC-DB infoSuper Wide Column Database
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