DBMS > Firebase Realtime Database vs. GreptimeDB vs. Oracle Coherence vs. SAP IQ vs. WakandaDB

System Properties Comparison Firebase Realtime Database vs. GreptimeDB vs. Oracle Coherence vs. SAP IQ vs. WakandaDB

Editorial information provided by DB-Engines

Name

Description

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

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Oracles in-memory data grid solution

Columnar RDBMS optimized for Big Data analytics

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

column-oriented

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

Score	14.29
Rank	#39	Overall
	#6	Document stores

Score	0.06
Rank	#352	Overall
	#33	Time Series DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	2.75
Rank	#104	Overall
	#53	Relational DBMS

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

firebase.google.com/products/realtime-database

greptime.com

www.oracle.com/java/coherence

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

wakanda.github.io

Technical documentation

firebase.google.com/docs/database

docs.greptime.com

docs.oracle.com/en/middleware/standalone/coherence

help.sap.com/docs/SAP_IQ

wakanda.github.io/doc

Developer

Google

acquired by Google 2014

Greptime Inc.

Oracle

SAP, formerly Sybase

Wakanda SAS

Initial release

2012

2022

2007

1994

2012

Current release

14.1, August 2023

16.1 SPS04, April 2019

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Open Source

AGPLv3, extended commercial license available

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

Rust

Java

C++, JavaScript

Server operating systems

hosted

Android
Docker
FreeBSD
Linux
macOS
Windows

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

Data scheme

schema-free

schema-free, schema definition possible

schema-free

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

yes

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

gRPC
HTTP API
JDBC

JCache
JPA
RESTful HTTP API

ADO.NET
JDBC
ODBC
RESTful HTTP API

RESTful HTTP API

Supported programming languages

Java
JavaScript
Objective-C

C++
Erlang
Go
Java
JavaScript

.Net
C++
Java

C
C#
C++
Java
Perl
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Python

yes

Triggers

Callbacks are triggered when data changes

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

SAP/Sybase Replication Server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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 rights management via user accounts

authentification to access the cache via certificates or http basic authentication

fine grained access rights according to SQL-standard

yes

More information provided by the system vendor

Specific characteristics

GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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