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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. ArangoDB vs. Google Cloud Bigtable vs. Quasardb vs. Vitess

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. ArangoDB vs. Google Cloud Bigtable vs. Quasardb vs. Vitess

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonArangoDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQuasardb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed, high-performance timeseries databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Key-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlarangodb.comcloud.google.com/­bigtablequasar.aivitess.io
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.arangodb.comcloud.google.com/­bigtable/­docsdoc.quasar.ai/­mastervitess.io/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperAlibabaArangoDB Inc.GooglequasardbThe Linux Foundation, PlanetScale
Initial release2012201520092013
Current release3.11.5, November 20233.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++C++Go
Server operating systemshostedLinux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashnoyes infointeger and binaryyes
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.yesnono
Secondary indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLyesnonoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
PHP
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesJavaScriptnonoyes infoproprietary syntax
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infosince version 2.0ShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication with configurable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyes inforelationships in graphsnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLArangoDBGoogle Cloud BigtableQuasardbVitess
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Consolidation: 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 modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLArangoDBGoogle Cloud BigtableQuasardbVitess
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