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DBMS > Alibaba Cloud MaxCompute vs. Cubrid vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. SwayDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Cubrid vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. SwayDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Event Store optimized for Internet of Things use casesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSKey-value store
Wide column store
Event Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigtablewww.ibm.com/­products/­db2-event-storeswaydb.simer.au
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecubrid.org/­manualscloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAlibabaCUBRID Corporation, CUBRID FoundationGoogleIBMSimer Plaha
Initial release20162008201520172018
Current release11.0, January 20212.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC and C++Scala
Server operating systemshostedLinux
Windows
hostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonononono
Secondary indexesnoyesnonono
SQL infoSupport of SQLSQL-like query languageyesnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaJava Stored Proceduresnoyesno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud MaxComputeCubridGoogle Cloud BigtableIBM Db2 Event StoreSwayDB
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