DBMS > Alibaba Cloud Log Service vs. Amazon DocumentDB vs. Amazon DynamoDB vs. Google Cloud Spanner vs. OpenTSDB

System Properties Comparison Alibaba Cloud Log Service vs. Amazon DocumentDB vs. Amazon DynamoDB vs. Google Cloud Spanner vs. OpenTSDB

Editorial information provided by DB-Engines

Name

Description

A complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.

Scalable Time Series DBMS based on HBase

Primary database model

Search engine

Document store

Document store
Key-value store

Relational DBMS

Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.47
Rank	#263	Overall
	#18	Search engines

Score	1.91
Rank	#131	Overall
	#24	Document stores

Score	74.45
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	2.84
Rank	#100	Overall
	#51	Relational DBMS

Score	1.68
Rank	#142	Overall
	#12	Time Series DBMS

Website

www.alibabacloud.com/product/log-service

aws.amazon.com/documentdb

aws.amazon.com/dynamodb

cloud.google.com/spanner

opentsdb.net

Technical documentation

www.alibabacloud.com/help/en/sls

aws.amazon.com/documentdb/resources

docs.aws.amazon.com/dynamodb

cloud.google.com/spanner/docs

opentsdb.net/docs/build/html/index.html

Developer

AlibabaCloud Inc.

Amazon

Google

currently maintained by Yahoo and other contributors

Initial release

2016

2019

2012

2017

2011

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

commercial

Open Source

LGPL

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

Linux
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL for querying

yes

Query statements complying to ANSI 2011

APIs and other access methods

HTTP REST

proprietary protocol using JSON (MongoDB compatible)

RESTful HTTP API

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

HTTP API
Telnet API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Go
Java
JavaScript (Node.js)
Python

Erlang
Go
Java
Python
R
Ruby

Server-side scripts

Stored procedures

Triggers

yes

by integration with AWS Lambda

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

3 replicas

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

yes

Multi-source replication with 3 replicas for regional instances.

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-document operations

ACID

ACID across one or more tables within a single AWS account and region

ACID

Strict serializable isolation

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Alibaba Cloud user access control

Access rights for users and roles

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

More information provided by the system vendor

Specific characteristics

A 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 models

Pay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more

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