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DBMS > Alibaba Cloud MaxCompute vs. Datomic vs. Google Cloud Bigtable vs. Interbase vs. Netezza

System Properties Comparison Alibaba Cloud MaxCompute vs. Datomic vs. Google Cloud Bigtable vs. Interbase vs. Netezza

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterbase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Light-weight proven RDBMS infooriginally from BorlandData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSKey-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.datomic.comcloud.google.com/­bigtablewww.embarcadero.com/­products/­interbasewww.ibm.com/­products/­netezza
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.datomic.comcloud.google.com/­bigtable/­docsdocs.embarcadero.com/­products/­interbase
DeveloperAlibabaCognitectGoogleEmbarcaderoIBM
Initial release20162012201519842000
Current release1.0.7075, December 2023InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC
Server operating systemshostedAll OS with a Java VMhostedAndroid
iOS
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono infoexport as XML data possible
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenonoyesyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesJavaClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Javayes infoTransaction Functionsnoyes infoInterbase procedure and trigger languageyes
TriggersnoBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnoyes
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)Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Alibaba Cloud MaxComputeDatomicGoogle Cloud BigtableInterbaseNetezza infoAlso called PureData System for Analytics by IBM
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