DBMS > Alibaba Cloud Table Store vs. IBM Db2 Event Store vs. Tarantool

System Properties Comparison Alibaba Cloud Table Store vs. IBM Db2 Event Store vs. Tarantool

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

Distributed Event Store optimized for Internet of Things use cases

In-memory computing platform with a flexible data schema for efficiently building high-performance applications

Primary database model

Wide column store

Event Store
Time Series DBMS

Key-value store

Secondary database models

Document store
Relational DBMS
Spatial DBMS

with Tarantool/GIS extension

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

Score	0.23
Rank	#346	Overall
	#12	Wide column stores

Score	0.15
Rank	#365	Overall
	#3	Event Stores
	#35	Time Series DBMS

Score	1.87
Rank	#151	Overall
	#27	Key-value stores

Website

www.alibabacloud.com/product/table-store

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

www.tarantool.io

Technical documentation

www.alibabacloud.com/help/product/27278.htm

www.ibm.com/support/knowledgecenter/en/SSGNPV_2.0.0/welcome.html

www.tarantool.io/en/doc

Developer

Alibaba

IBM

Initial release

2016

2017

2008

Current release

2.0

2.10.0, May 2022

License

Commercial or Open Source

commercial

free developer edition available

Open Source

BSD

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 and C++

Server operating systems

hosted

Linux

Linux, macOS, Windows for the developer addition

BSD
Linux
macOS

Data scheme

schema-free

yes

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

string, double, decimal, uuid, integer, blob, boolean

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

yes

through the embedded Spark runtime

Full-featured ANSI SQL support

APIs and other access methods

HTTP API

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

Open binary protocol

Supported programming languages

Java
Python

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

C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust

Server-side scripts

Stored procedures

yes

Lua, C and SQL stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Hash sharding based on virtual buckets

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Active-active shard replication

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes, with SQL

Transaction concepts

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

Atomic single-row operations

ACID, read commited

Concurrency

Support for concurrent manipulation of data

yes

No - written data is immutable

yes, cooperative multitasking

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, regular snapshots on disk, write ahead logging

In-memory capabilities

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

yes

yes, full featured in-memory storage engine with persistence

User concepts

Access control

Access rights based on subaccounts and tokens

fine grained access rights according to SQL-standard

Access rights for users and roles

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More resources

DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021, Vladimir Perepelytsya, Tarantool (sponsor)

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