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DBMS > AlaSQL vs. Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DocumentDB vs. Google Cloud Spanner vs. WakandaDB

System Properties Comparison AlaSQL vs. Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DocumentDB vs. Google Cloud Spanner vs. WakandaDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA 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.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score0.79
Rank#213  Overall
#101  Relational DBMS
Score1.91
Rank#124  Overall
#22  Document stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitealasql.orgwww.alibabacloud.com/­product/­hybriddb-postgresqlaws.amazon.com/­documentdbcloud.google.com/­spannerwakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewaws.amazon.com/­documentdb/­resourcescloud.google.com/­spanner/­docswakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. WulffAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupGoogleWakanda SAS
Initial release20142016201920172012
Current release2.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedhostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsJavaScript APIJDBC
ODBC
proprietary protocol using JSON (MongoDB compatible)gRPC (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 languagesJavaScriptC
Java
Perl
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infotypically not used, however similar functionality with DBRef possibleyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDAtomic single-document operationsACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
AlaSQLAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAmazon DocumentDBGoogle Cloud SpannerWakandaDB
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