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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DynamoDB vs. Google Cloud Spanner vs. LMDB vs. WakandaDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DynamoDB vs. Google Cloud Spanner vs. LMDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLMDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumHosted, scalable database service by Amazon with the data stored in Amazons cloudA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A high performant, light-weight, embedded key-value database libraryWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#213  Overall
#101  Relational DBMS
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlaws.amazon.com/­dynamodbcloud.google.com/­spannerwww.symas.com/­symas-embedded-database-lmdbwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewdocs.aws.amazon.com/­dynamodbcloud.google.com/­spanner/­docswww.lmdb.tech/­docwakanda.github.io/­doc
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAmazonGoogleSymasWakanda SAS
Initial release20162012201720112012
Current release0.9.32, January 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercialOpen SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaScript
Server operating systemshostedhostedhostedLinux
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
JavaScript
Server-side scripts infoStored proceduresyesnononoyes
Triggersyesyes infoby integration with AWS Lambdanonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication with 3 replicas for regional instances.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAmazon DynamoDBGoogle Cloud SpannerLMDBWakandaDB
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