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DBMS > Alibaba Cloud MaxCompute vs. Datomic vs. Hive vs. ScyllaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Datomic vs. Hive vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonDatomic  Xexclude from comparisonHive  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputewww.datomic.comhive.apache.orgwww.scylladb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.scylladb.com
DeveloperAlibabaCognitectApache Software Foundation infoinitially developed by FacebookScyllaDB
Initial release2016201220122015
Current release1.0.6735, June 20233.1.3, April 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2Open 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 languageJava, ClojureJavaC++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinux
Data schemeyesyesyesschema-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.nonono
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIJDBC
ODBC
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJavaClojure
Java
C++
Java
PHP
Python
For 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 proceduresuser defined functions infoin Javayes infoTransaction Functionsyes infouser defined functions and integration of map-reduceyes, Lua
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infoin-memory tables
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and rolesAccess rights for users can be defined per object
More information provided by the system vendor
Alibaba Cloud MaxComputeDatomicHiveScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
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 modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Alibaba Cloud MaxComputeDatomicHiveScyllaDB
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