DBMS > EJDB vs. IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. StarRocks

System Properties Comparison EJDB vs. IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. StarRocks

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Cloud-based data warehousing service

A Wide Column Store for rapid development using massive semi-structured datasets

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

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

Score	0.31
Rank	#296	Overall
	#44	Document stores

Score	1.37
Rank	#160	Overall
	#74	Relational DBMS

Score	4.04
Rank	#77	Overall
	#6	Wide column stores

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Website

github.com/Softmotions/ejdb

www.ibm.com/products/db2/warehouse

azure.microsoft.com/en-us/services/storage/tables

www.starrocks.io

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Softmotions

IBM

Microsoft

The Linux Foundation

since Feb 2023

Initial release

2012

2014

2012

2020

Current release

2.5.3, March 2023

License

Commercial or Open Source

Open Source

GPLv2

commercial

Open Source

Apache Version 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.

Implementation language

C++, Java

Server operating systems

server-less

hosted

Linux

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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.

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

in-process shared library

.NET Client API
JDBC
ODBC
OLE DB

RESTful HTTP API

JDBC
MySQL protocol

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Java

Server-side scripts

Stored procedures

PL/SQL, SQL PL

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights based on private key authentication or shared access signatures

Role based access control and fine grained access rights

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