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DBMS > AlaSQL vs. Alibaba Cloud MaxCompute vs. Badger vs. GigaSpaces vs. H2

System Properties Comparison AlaSQL vs. Alibaba Cloud MaxCompute vs. Badger vs. GigaSpaces vs. H2

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonBadger  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparison
DescriptionJavaScript DBMS libraryMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-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 tablesKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitealasql.orgwww.alibabacloud.com/­product/­maxcomputegithub.com/­dgraph-io/­badgerwww.gigaspaces.comwww.h2database.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­maxcomputegodoc.org/­github.com/­dgraph-io/­badgerdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.html
DeveloperAndrey Gershun & Mathias R. WulffAlibabaDGraph LabsGigaspaces TechnologiesThomas Mueller
Initial release20142016201720002005
Current release15.5, September 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoJava, C++, .NetJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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 infoXML can be used for describing objects metadatano
Secondary indexesnononoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languagenoSQL-99 for query and DML statementsyes
APIs and other access methodsJavaScript APIFluentd
Flume
MaxCompute Console
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesJavaScriptJavaGo.Net
C++
Java
Python
Scala
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavanoyesJava Stored Procedures and User-Defined Functions
Triggersyesnonoyes, event driven architectureyes
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 servicenoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
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 infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencynoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACIDACID
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.yesnonoyesyes
User concepts infoAccess controlnoAccess rights for users and rolesnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
AlaSQLAlibaba Cloud MaxComputeBadgerGigaSpacesH2
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