DBMS > Alibaba Cloud Log Service vs. Bangdb vs. Oracle NoSQL vs. PouchDB

System Properties Comparison Alibaba Cloud Log Service vs. Bangdb vs. Oracle NoSQL vs. PouchDB

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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.

Converged and high performance database for device data, events, time series, document and graph

A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes

JavaScript DBMS with an API inspired by CouchDB

Primary database model

Search engine

Document store
Graph DBMS
Time Series DBMS

Document store
Key-value store
Relational DBMS

Document store

Secondary database models

Spatial DBMS

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

Score	0.47
Rank	#263	Overall
	#18	Search engines

Score	0.16
Rank	#338	Overall
	#47	Document stores
	#32	Graph DBMS
	#31	Time Series DBMS

Score	3.05
Rank	#97	Overall
	#17	Document stores
	#16	Key-value stores
	#50	Relational DBMS

Score	2.34
Rank	#112	Overall
	#21	Document stores

Website

www.alibabacloud.com/product/log-service

bangdb.com

www.oracle.com/database/nosql/technologies/nosql

pouchdb.com

Technical documentation

www.alibabacloud.com/help/en/sls

docs.bangdb.com

docs.oracle.com/en/database/other-databases/nosql-database/index.html

pouchdb.com/guides

Developer

AlibabaCloud Inc.

Sachin Sinha, BangDB

Oracle

Apache Software Foundation

Initial release

2016

2012

2011

2012

Current release

BangDB 2.0, October 2021

24.1, May 2024

7.1.1, June 2019

License

Commercial or Open Source

commercial

Open Source

BSD 3

Open Source

Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)

Open Source

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

C, C++

Java

JavaScript

Server operating systems

hosted

Linux

Linux
Solaris SPARC/x86

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

schema-free

Support Fixed schema and Schema-less deployment with the ability to interoperate between them.

schema-free

Typing

predefined data types such as float or date

yes

yes: string, long, double, int, geospatial, stream, events

optional

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

secondary, composite, nested, reverse, geospatial

yes

via views

SQL

Support of SQL

SQL for querying

SQL like support with command line tool

SQL-like DML and DDL statements

APIs and other access methods

HTTP REST

Proprietary protocol
RESTful HTTP API

RESTful HTTP API

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

C
C#
C++
Java
Python

C
C#
Go
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

View functions in JavaScript

Triggers

yes

yes, Notifications (with Streaming only)

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

3 replicas

selectable replication factor, Knob for CAP (enterprise version only)

Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

with Hadoop integration

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Tunable consistency, set CAP knob accordingly

Eventual Consistency
Immediate Consistency

depending on configuration

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

configurable

ACID within a storage node (=shard)

Concurrency

Support for concurrent manipulation of data

yes

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

yes

by using IndexedDB, WebSQL or LevelDB as backend

In-memory capabilities

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

yes, run db with in-memory only mode

yes

off heap cache

yes

User concepts

Access control

Alibaba Cloud user access control

yes (enterprise version only)

Access rights for users and roles

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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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