DBMS > AlaSQL vs. Firebase Realtime Database vs. GreptimeDB vs. Hawkular Metrics vs. OrigoDB

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. GreptimeDB vs. Hawkular Metrics vs. OrigoDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

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

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

A fully ACID in-memory object graph database

Primary database model

Document store
Relational DBMS

Document store

Time Series DBMS

Document store
Object oriented DBMS

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	0.08
Rank	#366	Overall
	#39	Time Series DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Website

alasql.org

firebase.google.com/products/realtime-database

greptime.com

www.hawkular.org

origodb.com

Technical documentation

github.com/AlaSQL/alasql

firebase.google.com/docs/database

docs.greptime.com

www.hawkular.org/hawkular-metrics/docs/user-guide

origodb.com/docs

Developer

Andrey Gershun & Mathias R. Wulff

Google

acquired by Google 2014

Greptime Inc.

Community supported by Red Hat

Robert Friberg et al

Initial release

2014

2012

2022

2014

2009

under the name LiveDB

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

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

JavaScript

Rust

Java

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

hosted

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux
OS X
Windows

Linux
Windows

Data scheme

schema-free

schema-free, schema definition possible

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

APIs and other access methods

JavaScript API

Android
iOS
JavaScript API
RESTful HTTP API

gRPC
HTTP API
JDBC

HTTP REST

.NET Client API
HTTP API
LINQ

Supported programming languages

JavaScript

Java
JavaScript
Objective-C

C++
Erlang
Go
Java
JavaScript

Go
Java
Python
Ruby

.Net

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Python

yes

Triggers

yes

Callbacks are triggered when data changes

yes

via Hawkular Alerting

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

based on Cassandra

Source-replica replication

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

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Foreign keys

Referential integrity

yes

depending on model

Transaction concepts

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

yes

only for local storage and DOM-storage

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

Write ahead log

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

Role based authorization

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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