DBMS > Badger vs. Firebase Realtime Database vs. TempoIQ vs. TerminusDB vs. YottaDB

System Properties Comparison Badger vs. Firebase Realtime Database vs. TempoIQ vs. TerminusDB vs. YottaDB

Editorial information provided by DB-Engines

Name

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

Description

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

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

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A fast and solid embedded Key-value store

Primary database model

Secondary database models

Document store
RDF store

Relational DBMS

using the Octo plugin

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

Score	0.22
Rank	#320	Overall
	#47	Key-value stores

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

github.com/dgraph-io/badger

firebase.google.com/products/realtime-database

tempoiq.com (offline)

terminusdb.com

yottadb.com

Technical documentation

godoc.org/github.com/dgraph-io/badger

firebase.google.com/docs/database

terminusdb.github.io/terminusdb/#

yottadb.com/resources/documentation

Developer

DGraph Labs

Google

acquired by Google 2014

TempoIQ

DataChemist Ltd.

YottaDB, LLC

Initial release

2017

2012

2018

2001

Current release

11.0.0, January 2023

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

GPL V3

Open Source

AGPL 3.0

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

Prolog, Rust

Server operating systems

BSD
Linux
OS X
Solaris
Windows

hosted

Linux

Docker
Linux

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language (WOQL)

by using the Octo plugin

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

Java
JavaScript
Objective-C

C#
Java
JavaScript

Node.js
Python
Ruby

JavaScript
Python

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

limited functionality with using 'rules'

yes

Triggers

Callbacks are triggered when data changes

yes

Realtime Alerts

yes

Partitioning methods

Methods for storing different data on different nodes

none

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Journaling Streams

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

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

yes, based on authentication and database rules

simple authentication-based access control

Role-based access control

Users and groups based on OS-security mechanisms

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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