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DBMS > Alibaba Cloud Log Service vs. Amazon Aurora vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud Log Service vs. Amazon Aurora vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAlibaba Cloud Log Service  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionA complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.Fully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelSearch engineRelational DBMSKey-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#249  Overall
#18  Search engines
Score7.25
Rank#46  Overall
#29  Relational DBMS
Score2.66
Rank#92  Overall
#15  Key-value stores
#6  Wide column stores
Websitewww.alibabacloud.com/­product/­log-serviceaws.amazon.com/­rds/­auroracloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­slsdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
cloud.google.com/­bigtable/­docs
Social network pagesLinkedIn
DeveloperAlibabaCloud Inc.AmazonGoogle
Initial release201620152015
Current releaseAurora DSQL, November 2024 (preview), PostgreSQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraPostgreSQLReleaseNotes/­AuroraPostgreSQL.Updates.html , MySQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraMySQLReleaseNotes/­AuroraMySQL.release-calendars.html
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePostgreSQL/MySQL: C, C++, Aurora DSQL: Rust
Server operating systemshostedAmazon Linuxhosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingyes, MySQL and PostgreSQL dialectsno
APIs and other access methodsHTTP RESTDSQL API: docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­CHAP_api_reference.html
MySQL wire protocol
PostgreSQL wire protocol
RDS Data API: docs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­ProgrammingGuide.html
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Rust
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/pgSQL, MySQL stored program language, APG trusted language extensionsno
TriggersyesAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.no
Partitioning methods infoMethods for storing different data on different nodesShardingDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodes3 replicasFull replication
Logical replication
Snapshot replication
Transactional replication
Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate/Strong Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Multi-statementAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yes
Durability infoSupport for making data persistentyesData is replicated across 3 Availability Zones (AZs) within a single AWS Region. Active-active multi-Region high availability across 3 Regions (2 active, 1 witness) and automated failover recovery with Aurora DSQL. Automated, continuous backup of data with point in time restore. Fault-tolerant, self-healing storage system.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAlibaba Cloud user access controlRole based permissions
Row level security
Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud Log ServiceAmazon AuroraGoogle Cloud Bigtable
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