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DBMS > AlaSQL vs. Alibaba Cloud MaxCompute vs. ArangoDB vs. Badger vs. Tkrzw

System Properties Comparison AlaSQL vs. Alibaba Cloud MaxCompute vs. ArangoDB vs. Badger vs. Tkrzw

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonArangoDB  Xexclude from comparisonBadger  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 warehousingNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Graph DBMS
Key-value store
Search engine
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitealasql.orgwww.alibabacloud.com/­product/­maxcomputearangodb.comgithub.com/­dgraph-io/­badgerdbmx.net/­tkrzw
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­maxcomputedocs.arangodb.comgodoc.org/­github.com/­dgraph-io/­badger
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperAndrey Gershun & Mathias R. WulffAlibabaArangoDB Inc.DGraph LabsMikio Hirabayashi
Initial release20142016201220172020
Current release3.11.5, November 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
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.
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Implementation languageJavaScriptC++GoC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesschema-free infoautomatically recognizes schema within a collectionschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes infostring, double, boolean, list, hashnono
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 indexesnonoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languagenonono
APIs and other access methodsJavaScript APIFluentd
Flume
MaxCompute Console
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Supported programming languagesJavaScriptJavaC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
GoC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaJavaScriptnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infosince version 2.0nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-replica replication with configurable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
noneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDno
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.yesnonoyes infousing specific database classes
User concepts infoAccess controlnoAccess rights for users and rolesyesnono
More information provided by the system vendor
AlaSQLAlibaba Cloud MaxComputeArangoDBBadgerTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
AlaSQLAlibaba Cloud MaxComputeArangoDBBadgerTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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