DBMS > IBM Db2 Event Store vs. Trino vs. WakandaDB

System Properties Comparison IBM Db2 Event Store vs. Trino vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Distributed Event Store optimized for Internet of Things use cases

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Event Store
Time Series DBMS

Relational DBMS

Object oriented DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	0.18
Rank	#315	Overall
	#2	Event Stores
	#26	Time Series DBMS

Score	5.47
Rank	#62	Overall
	#35	Relational DBMS

Score	0.03
Rank	#361	Overall
	#17	Object oriented DBMS

Website

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

trino.io

wakanda.github.io

Technical documentation

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

trino.io/broadcast
trino.io/docs/current

wakanda.github.io/doc

Developer

IBM

Trino Software Foundation

Wakanda SAS

Initial release

2017

2012

2020 rebranded from PrestoSQL

2012

Current release

2.0

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

free developer edition available

Open Source

Apache Version 2.0

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

Java

C++, JavaScript

Server operating systems

Linux

Linux, macOS, Windows for the developer addition

Linux
macOS

for devlopment

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

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

depending on connected data-source

SQL

Support of SQL

yes

through the embedded Spark runtime

yes

APIs and other access methods

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

JDBC
RESTful HTTP API
Trino CLI

RESTful HTTP API

Supported programming languages

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

Go
Java
JavaScript (Node.js)
Python
R
Ruby

JavaScript

Server-side scripts

Stored procedures

yes

yes, depending on connected data-source

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on connected data-source

none

Replication methods

Methods for redundantly storing data on multiple nodes

Active-active shard replication

depending on connected data-source

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

depending on connected data-source

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

depending on connected data-source

ACID

Concurrency

Support for concurrent manipulation of data

No - written data is immutable

yes

Durability

Support for making data persistent

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

depending on connected data-source

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

fine grained access rights according to SQL-standard

SQL standard access control

yes

More information provided by the system vendor

News

23 is a go, keeping pace with Java
17 September 2024

66: Chat with Trino and Wren AI
12 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

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More resources

Recent citations in the news

Advancements in streaming data storage, real-time analysis and machine learning
25 July 2019, ibm.com

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4 October 2022, ITPro

How IBM Is Turning Db2 into an ‘AI Database’
3 June 2019, Datanami

Why a robust data management strategy is essential today | IBM HDM
19 September 2019, Express Computer

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22 March 2024, AWS Blog

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9 August 2022, TechTarget

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30 March 2022, hackernoon.com

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8 February 2023, VentureBeat

provided by Google News

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