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DBMS > Alibaba Cloud MaxCompute vs. Apache Drill vs. atoti vs. Google Cloud Bigtable vs. Oracle Berkeley DB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Drill vs. atoti vs. Google Cloud Bigtable vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Drill  Xexclude from comparisonatoti  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Google'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 store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Relational DBMS
Object oriented DBMSWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#196  Overall
#94  Relational DBMS
Score2.73
Rank#105  Overall
#19  Document stores
#54  Relational DBMS
Score0.34
Rank#262  Overall
#14  Object oriented DBMS
Score3.63
Rank#89  Overall
#8  Wide column stores
Score2.68
Rank#107  Overall
#19  Key-value stores
#3  Native XML DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedrill.apache.orgwww.atoti.iocloud.google.com/­bigtablewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmdrill.apache.org/­docscloud.google.com/­bigtable/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAlibabaApache Software FoundationActiveViamGoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016201220151994
Current release1.19.0, June 202118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree versions availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinux
OS X
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesnononoyes
SQL infoSupport of SQLSQL-like query languageSQL SELECT statement is SQL:2003 compliantMultidimensional Expressions (MDX)noyes infoSQL interfaced based on SQLite is available
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaC++C#
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
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsPythonnono
Triggersnononoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding, horizontal partitioningShardingnone
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceyesnoyes
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Alibaba Cloud MaxComputeApache DrillatotiGoogle Cloud BigtableOracle Berkeley DB
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