DBMS > atoti vs. SAP IQ vs. SpaceTime vs. XTDB

System Properties Comparison atoti vs. SAP IQ vs. SpaceTime vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

Columnar RDBMS optimized for Big Data analytics

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

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

column-oriented

Secondary database models

Relational DBMS

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

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

atoti.io

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

www.mireo.com/spacetime

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.atoti.io

help.sap.com/docs/SAP_IQ

www.xtdb.com/docs

Developer

ActiveViam

SAP, formerly Sybase

Mireo

Juxt Ltd.

Initial release

1994

2020

2019

Current release

16.1 SPS04, April 2019

1.19, September 2021

License

Commercial or Open Source

commercial

free versions available

commercial

Open Source

MIT License

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

Java

C++

Clojure

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

Linux

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

Multidimensional Expressions (MDX)

yes

A subset of ANSI SQL is implemented

limited SQL, making use of Apache Calcite

APIs and other access methods

ADO.NET
JDBC
ODBC
RESTful HTTP API

RESTful HTTP API

HTTP REST
JDBC

Supported programming languages

C
C#
C++
Java
Perl
PHP
Python
Ruby

C#
C++
Python

Clojure
Java

Server-side scripts

Stored procedures

Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

shared disk or shared nothing architectures with SAP IQ Multiplexer

Fixed-grid hypercubes

none

Replication methods

Methods for redundantly storing data on multiple nodes

SAP/Sybase Replication Server

Real-time block device replication (DRBD)

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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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