DBMS > Atos Standard Common Repository vs. Microsoft Azure AI Search vs. SpatiaLite vs. Teradata

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure AI Search vs. SpatiaLite vs. Teradata

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Search-as-a-service for web and mobile app development

Spatial extension of SQLite

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Document store
Key-value store

Search engine

Spatial DBMS

Relational DBMS

Secondary database models

Vector DBMS

Relational DBMS

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	5.75
Rank	#58	Overall
	#7	Search engines

Score	1.56
Rank	#142	Overall
	#3	Spatial DBMS

Score	41.47
Rank	#22	Overall
	#15	Relational DBMS

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

azure.microsoft.com/en-us/services/search

www.gaia-gis.it/fossil/libspatialite/index

www.teradata.com

Technical documentation

learn.microsoft.com/en-us/azure/search

www.gaia-gis.it/gaia-sins/spatialite_topics.html

docs.teradata.com

Developer

Atos Convergence Creators

Microsoft

Alessandro Furieri

Teradata

Initial release

2016

2015

2008

1984

Current release

1703

5.0.0, August 2020

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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

Java

C++

Server operating systems

Linux

hosted

server-less

hosted
Linux

Data scheme

Schema and schema-less with LDAP views

yes

Typing

predefined data types such as float or date

optional

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.

yes

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

yes

SQL 2016 + extensions

APIs and other access methods

LDAP

RESTful HTTP API

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

All languages with LDAP bindings

C#
Java
JavaScript
Python

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

Implicit feature of the cloud service

none

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

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 or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

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

LDAP bind authentication

yes

using Azure authentication

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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Teradata is the most popular data warehouse DBMS
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