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DBMS > Alibaba Cloud MaxCompute vs. Apache Drill vs. Apache Kylin vs. Google Cloud Bigtable vs. Sadas Engine

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Drill vs. Apache Kylin vs. Google Cloud Bigtable vs. Sadas Engine

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Kylin  Xexclude from comparisonGoogle Cloud Bigtable  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 warehousingSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.SADAS 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 tablesDocument store
Relational DBMS
Relational DBMSKey-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedrill.apache.orgkylin.apache.orgcloud.google.com/­bigtablewww.sadasengine.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedrill.apache.org/­docskylin.apache.org/­docscloud.google.com/­bigtable/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAlibabaApache Software FoundationApache Software Foundation, originally contributed from eBay IncGoogleSADAS s.r.l.
Initial release20162012201520152006
Current release1.20.3, January 20233.1.0, July 20208.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial infofree trial version 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++
Server operating systemshostedLinux
OS X
Windows
LinuxhostedAIX
Linux
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL SELECT statement is SQL:2003 compliantANSI SQL for queries (using Apache Calcite)noyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC++C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardinghorizontal 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 zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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 datanonoAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourcenonoyes infomanaged by 'Learn by Usage'
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)Access rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud MaxComputeApache DrillApache KylinGoogle Cloud BigtableSadas Engine
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