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DBMS > Alibaba Cloud MaxCompute vs. Apache Kylin vs. Bangdb vs. Google Cloud Bigtable vs. NSDb

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Kylin vs. Bangdb vs. Google Cloud Bigtable vs. NSDb

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Kylin  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackConverged and high performance database for device data, events, time series, document and graphGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputekylin.apache.orgbangdb.comcloud.google.com/­bigtablensdb.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputekylin.apache.org/­docsdocs.bangdb.comcloud.google.com/­bigtable/­docsnsdb.io/­Architecture
DeveloperAlibabaApache Software Foundation, originally contributed from eBay IncSachin Sinha, BangDBGoogle
Initial release20162015201220152017
Current release3.1.0, July 2020BangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD 3commercialOpen Source infoApache Version 2.0
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, C++Java, Scala
Server operating systemshostedLinuxLinuxhostedLinux
macOS
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsnoyes: int, bigint, decimal, string
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 indexesnoyesyes infosecondary, composite, nested, reverse, geospatialnoall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageANSI SQL for queries (using Apache Calcite)SQL like support with command line toolnoSQL-like query language
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
Supported programming languagesJavaC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Javanonono
Triggersnoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, run db with in-memory only modeno
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud MaxComputeApache KylinBangdbGoogle Cloud BigtableNSDb
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