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DBMS > Alibaba Cloud Table Store vs. Drizzle vs. Prometheus vs. ScyllaDB

System Properties Comparison Alibaba Cloud Table Store vs. Drizzle vs. Prometheus vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDrizzle  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Open-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column store
Primary database modelWide column storeRelational DBMSTime Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.alibabacloud.com/­product/­table-storeprometheus.iowww.scylladb.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreprometheus.io/­docsdocs.scylladb.com
DeveloperAlibabaDrizzle project, originally started by Brian AkerScyllaDB
Initial release2016200820152015
Current release7.2.4, September 2012ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++GoC++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.nono infoImport of XML data possibleno
Secondary indexesnoyesnoyes infocluster global secondary indices
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP APIJDBCRESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava
Python
C
C++
Java
PHP
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 proceduresnononoyes, Lua
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
yes infoby Federationselectable 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 ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlAccess rights based on subaccounts and tokensPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users can be defined per object
More information provided by the system vendor
Alibaba Cloud Table StoreDrizzlePrometheusScyllaDB
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 Table StoreDrizzlePrometheusScyllaDB
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