DBMS > Alibaba Cloud Log Service vs. Cassandra vs. IBM Db2 Event Store vs. Prometheus

System Properties Comparison Alibaba Cloud Log Service vs. Cassandra vs. IBM Db2 Event Store vs. Prometheus

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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.

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

Distributed Event Store optimized for Internet of Things use cases

Open-source Time Series DBMS and monitoring system

Primary database model

Search engine

Wide column store

Event Store
Time Series DBMS

Time Series DBMS

Secondary database models

Vector DBMS

starting with release V5

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

Score	0.43
Rank	#265	Overall
	#18	Search engines

Score	101.89
Rank	#12	Overall
	#1	Wide column stores

Score	0.19
Rank	#323	Overall
	#2	Event Stores
	#28	Time Series DBMS

Score	8.42
Rank	#47	Overall
	#2	Time Series DBMS

Website

www.alibabacloud.com/product/log-service

cassandra.apache.org

www.ibm.com/products/db2-event-store

prometheus.io

Technical documentation

www.alibabacloud.com/help/en/sls

cassandra.apache.org/doc/latest

www.ibm.com/docs/en/db2-event-store

prometheus.io/docs

Developer

AlibabaCloud Inc.

Apache Software Foundation

Apache top level project, originally developped by Facebook

IBM

Initial release

2016

2008

2017

2015

Current release

4.1.3, July 2023

2.0

License

Commercial or Open Source

commercial

Open Source

Apache version 2

commercial

free developer edition available

Open Source

Apache 2.0

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C and C++

Server operating systems

hosted

BSD
Linux
OS X
Windows

Linux

Linux, macOS, Windows for the developer addition

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data only

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.

Import of XML data possible

Secondary indexes

yes

restricted

only equality queries, not always the best performing solution

SQL

Support of SQL

SQL for querying

SQL-like SELECT, DML and DDL statements (CQL)

yes

through the embedded Spark runtime

APIs and other access methods

HTTP REST

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

RESTful HTTP/JSON API

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic

.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

3 replicas

selectable replication factor

Representation of geographical distribution of servers is possible

Active-active shard replication

yes

by Federation

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Eventual Consistency

none

Foreign keys

Referential integrity

Transaction concepts

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

Atomicity and isolation are supported for single operations

Concurrency

Support for concurrent manipulation of data

yes

No - written data is immutable

yes

Durability

Support for making data persistent

yes

Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage

yes

In-memory capabilities

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

yes

User concepts

Access control

Alibaba Cloud user access control

Access rights for users can be defined per object

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

A real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more

Apache Cassandra is the leading NoSQL, distributed database management system, well...
» more

Competitive advantages

* Ease of use: Completes data collections from more than 30 data sources within five...
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No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenarios

* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

* Alibaba & Ant-Finance：he infrastructure service for the Corp * Over 22k Subscriber...
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Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more

Market metrics

Cassandra is used by 40% of the Fortune 100.
» more

Licensing and pricing models

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

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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