DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Alibaba Cloud Log Service vs. Amazon DynamoDB vs. Hawkular Metrics vs. Vitess

System Properties Comparison Alibaba Cloud Log Service vs. Amazon DynamoDB vs. Hawkular Metrics vs. Vitess

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlibaba Cloud Log Service  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.Hosted, scalable database service by Amazon with the data stored in Amazons cloudHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#257  Overall
#18  Search engines
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­log-serviceaws.amazon.com/­dynamodbwww.hawkular.orgvitess.io
Technical documentationwww.alibabacloud.com/­help/­en/­slsdocs.aws.amazon.com/­dynamodbwww.hawkular.org/­hawkular-metrics/­docs/­user-guidevitess.io/­docs
DeveloperAlibabaCloud Inc.AmazonCommunity supported by Red HatThe Linux Foundation, PlanetScale
Initial release2016201220142013
Current release15.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemshostedhostedLinux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeschema-freeyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingnonoyes infowith proprietary extensions
APIs and other access methodsHTTP RESTRESTful HTTP APIHTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
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 proceduresnononoyes infoproprietary syntax
Triggersyesyes infoby integration with AWS Lambdayes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodes3 replicasyesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoACID across one or more tables within a single AWS account and regionnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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
User concepts infoAccess controlAlibaba Cloud user access controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Alibaba Cloud Log ServiceAmazon DynamoDBHawkular MetricsVitess
Specific characteristicsA real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more
Competitive advantages* Ease of use: Completes data collections from more than 30 data sources within five...
» more
Typical application scenarios* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more
Key customers* Alibaba & Ant-Finance:he infrastructure service for the Corp * Over 22k Subscriber...
» more
Licensing and pricing modelsPay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Alibaba Cloud Log ServiceAmazon DynamoDBHawkular MetricsVitess
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Alibaba Cloud waiting for hardware to dry out before trying to restore customer data
17 September 2024, The Register

Alibaba Cloud Further Facilitates Digital Transformation Acceleration across Asia in the Year of the Pandemic
27 January 2021, PR Newswire

The difference between no-logs and zero-logs VPNs – and why it matters
16 August 2024, TechRadar

The Evolution of Online Analytics from Alibaba Economy Ecosystem to the Cloud
20 February 2021, DataDrivenInvestor

Alibaba Cloud launches China Gateway program in Singapore
30 May 2019, China Daily

provided by Google News

Join the preview of attribute-based access control for Amazon DynamoDB | Amazon Web Services
3 September 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

How Samsung Cloud optimized Amazon DynamoDB costs
19 September 2024, AWS Blog

Faster development with Amazon DynamoDB and Amazon Q Developer
12 September 2024, AWS Blog

AWS Weekly Roundup: Amazon DynamoDB, AWS AppSync, Storage Browser for Amazon S3, and more (September 9, 2024) | Amazon Web Services
9 September 2024, AWS Blog

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived…
5 June 2019, DevClass

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

CNCF’s Vitess Scales MySQL with the Help of Kubernetes
9 February 2018, The New Stack

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here