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DBMS > Alibaba Cloud MaxCompute vs. Apache Pinot vs. Google Cloud Bigtable vs. OrigoDB vs. Sadas Engine

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Pinot vs. Google Cloud Bigtable vs. OrigoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Pinot  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  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 warehousingRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A fully ACID in-memory object graph databaseSADAS 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 tablesRelational DBMSKey-value store
Wide column store
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputepinot.apache.orgcloud.google.com/­bigtableorigodb.comwww.sadasengine.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.pinot.apache.orgcloud.google.com/­bigtable/­docsorigodb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAlibabaApache Software Foundation and contributorsGoogleRobert Friberg et alSADAS s.r.l.
Initial release2016201520152009 infounder the name LiveDB2006
Current release1.0.0, September 20238.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Sourcecommercial infofree trial version available
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 languageJavaC#C++
Server operating systemshostedAll OS with a Java JDK11 or higherhostedLinux
Windows
AIX
Linux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenonoyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaGo
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal 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 integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
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)Role based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud MaxComputeApache PinotGoogle Cloud BigtableOrigoDBSadas Engine
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