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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Blueflood vs. Lovefield vs. ScyllaDB

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Blueflood vs. Lovefield vs. ScyllaDB

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NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonBlueflood  Xexclude from comparisonLovefield  Xexclude from comparisonScyllaDB  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.Scalable TimeSeries DBMS based on CassandraEmbeddable relational database for web apps written in pure JavaScriptCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlblueflood.iogoogle.github.io/­lovefieldwww.scylladb.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmgithub.com/­rax-maas/­blueflood/­wikigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.scylladb.com
DeveloperAlibabaRackspaceGoogleScyllaDB
Initial release201320142015
Current release2.1.12, February 2017ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaJavaScriptC++
Server operating systemshostedLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeyespredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
HTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
Java
PHP
Python
JavaScriptFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyesnonoyes, Lua
TriggersyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on Cassandranoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDByes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users can be defined per object
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLBluefloodLovefieldScyllaDB
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Alibaba Cloud AnalyticDB for MySQLBluefloodLovefieldScyllaDB
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