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DBMS > AlaSQL vs. Alibaba Cloud MaxCompute vs. Drizzle vs. Google Cloud Spanner vs. H2

System Properties Comparison AlaSQL vs. Alibaba Cloud MaxCompute vs. Drizzle vs. Google Cloud Spanner vs. H2

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonH2  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Websitealasql.orgwww.alibabacloud.com/­product/­maxcomputecloud.google.com/­spannerwww.h2database.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­spanner/­docswww.h2database.com/­html/­main.html
DeveloperAndrey Gershun & Mathias R. WulffAlibabaDrizzle project, originally started by Brian AkerGoogleThomas Mueller
Initial release20142016200820172005
Current release7.2.4, September 20122.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
OS X
hostedAll OS with a Java VM
Data schemeschema-freeyesyesyesyes
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.nononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyes infowith proprietary extensionsyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsJavaScript APIFluentd
Flume
MaxCompute Console
JDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptJavaC
C++
Java
PHP
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavanonoJava Stored Procedures and User-Defined Functions
Triggersyesnono infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesnonoyes
User concepts infoAccess controlnoAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
AlaSQLAlibaba Cloud MaxComputeDrizzleGoogle Cloud SpannerH2
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