DBMS > Altibase vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. SpaceTime

System Properties Comparison Altibase vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Distributed Event Store optimized for Internet of Things use cases

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Relational DBMS

Event Store
Time Series DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

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

Score	20.56
Rank	#31	Overall
	#19	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Website

altibase.com

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

azure.microsoft.com/services/synapse-analytics

www.mireo.com/spacetime

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

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

docs.microsoft.com/azure/synapse-analytics

Developer

Altibase

IBM

Microsoft

Mireo

Initial release

1999

2017

2016

2020

Current release

v7.3, 2023, August 2023

2.0

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

free developer edition available

commercial

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 and C++

C++

Server operating systems

AIX
HP-UX
Linux

Linux

Linux, macOS, Windows for the developer addition

hosted

Linux

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

yes

SQL

Support of SQL

ANSI SQL-92

yes

through the embedded Spark runtime

yes

A subset of ANSI SQL is implemented

APIs and other access methods

JDBC
ODBC
Proprietary protocol

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

RESTful HTTP API

Supported programming languages

C
C++
Java

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

C#
Java
PHP

C#
C++
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Transact SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Active-active shard replication

yes

Real-time block device replication (DRBD)

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

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

ACID

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

fine grained access rights according to SQL-standard

yes

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