DBMS > Amazon Redshift vs. Interbase vs. LevelDB vs. Realm vs. TempoIQ

System Properties Comparison Amazon Redshift vs. Interbase vs. LevelDB vs. Realm vs. TempoIQ

Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

Large scale data warehouse service for use with business intelligence tools

Light-weight proven RDBMS

originally from Borland

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

Primary database model

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

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	4.08
Rank	#75	Overall
	#41	Relational DBMS

Score	2.25
Rank	#115	Overall
	#19	Key-value stores

Score	7.41
Rank	#52	Overall
	#8	Document stores

Website

aws.amazon.com/redshift

www.embarcadero.com/products/interbase

github.com/google/leveldb

realm.io

tempoiq.com (offline)

Technical documentation

docs.aws.amazon.com/redshift

docs.embarcadero.com/products/interbase

github.com/google/leveldb/blob/main/doc/index.md

realm.io/docs

Developer

Amazon (based on PostgreSQL)

Embarcadero

Google

Realm, acquired by MongoDB in May 2019

TempoIQ

Initial release

2012

1984

2011

2014

2012

Current release

InterBase 2020, December 2019

1.23, February 2021

License

Commercial or Open Source

commercial

Open Source

BSD

Open Source

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++

Server operating systems

hosted

Android
iOS
Linux
OS X
Windows

Illumos
Linux
OS X
Windows

Android
Backend: server-less
iOS
Windows

Data scheme

yes

schema-free

yes

schema-free

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.

export as XML data possible

Secondary indexes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

APIs and other access methods

JDBC
ODBC

ADO.NET
JDBC
ODBC

HTTP API

Supported programming languages

All languages supporting JDBC/ODBC

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

.Net
Java

with Android only
Objective-C
React Native
Swift

C#
Java
JavaScript

Node.js
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

in Python

yes

Interbase procedure and trigger language

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Interbase Change Views

none

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

yes

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

In-Memory realm

User concepts

Access control

fine grained access rights according to SQL-standard

yes

simple authentication-based access control

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