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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. Oracle Berkeley DB vs. Sadas Engine

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. Oracle Berkeley DB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used in-process key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#187  Overall
#90  Relational DBMS
Score3.64
Rank#91  Overall
#8  Wide column stores
Score2.86
Rank#99  Overall
#18  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#351  Overall
#146  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­bigtablewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.sadasengine.com
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmcloud.google.com/­bigtable/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperAlibabaGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleSADAS s.r.l.
Initial release2016201519942006
Current release18.1.40, May 20208.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonono
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud MaxComputeGoogle Cloud BigtableOracle Berkeley DBSadas Engine
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