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DBMS > Alibaba Cloud MaxCompute vs. Bangdb vs. Google Cloud Bigtable vs. OrigoDB vs. TigerGraph

System Properties Comparison Alibaba Cloud MaxCompute vs. Bangdb vs. Google Cloud Bigtable vs. OrigoDB vs. TigerGraph

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingConverged 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.A fully ACID in-memory object graph databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Graph DBMS
Time Series DBMS
Key-value store
Wide column store
Document store
Object oriented DBMS
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series 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
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.alibabacloud.com/­product/­maxcomputebangdb.comcloud.google.com/­bigtableorigodb.comwww.tigergraph.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.bangdb.comcloud.google.com/­bigtable/­docsorigodb.com/­docsdocs.tigergraph.com
DeveloperAlibabaSachin Sinha, BangDBGoogleRobert Friberg et al
Initial release2016201220152009 infounder the name LiveDB2017
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen Sourcecommercial
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 languageC, C++C#C++
Server operating systemshostedLinuxhostedLinux
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoUser 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.nononono infocan be achieved using .NETno
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolnonoSQL-like query language (GSQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP API
LINQ
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJavaC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.NetC++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyesyes
Triggersnoyes, Notifications (with Streaming only)noyes infoDomain Eventsno
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 algorithmShardinghorizontal partitioning infoclient side managed; servers are not synchronized
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 zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononodepending on modelyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenoyesno
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)Role based authorizationRole-based access control

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More resources
Alibaba Cloud MaxComputeBangdbGoogle Cloud BigtableOrigoDBTigerGraph
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