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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonElasticsearch  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 warehousingA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGoogle'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 tablesSearch engineKey-value store
Wide column store
Document store
Object oriented DBMS
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
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/­maxcomputewww.elastic.co/­elasticsearchcloud.google.com/­bigtableorigodb.comwww.tigergraph.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docsorigodb.com/­docsdocs.tigergraph.com
DeveloperAlibabaElasticGoogleRobert Friberg et al
Initial release2016201020152009 infounder the name LiveDB2017
Current release8.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen 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 languageJavaC#C++
Server operating systemshostedAll OS with a Java VMhostedLinux
Windows
Linux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-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.nononono infocan be achieved using .NETno
Secondary indexesnoyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenonoSQL-like query language (GSQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
Java API
RESTful HTTP/JSON 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 languagesJava.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.NetC++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnoyesyes
Triggersnoyes infoby using the 'percolation' featurenoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectoryesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate 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 datanonoAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyesno
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 authorizationRole-based access control

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More resources
Alibaba Cloud MaxComputeElasticsearchGoogle Cloud BigtableOrigoDBTigerGraph
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