DBMS > 4D vs. InfinityDB vs. InfluxDB vs. Lovefield vs. SQream DB

System Properties Comparison 4D vs. InfinityDB vs. InfluxDB vs. Lovefield vs. SQream DB

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

A Java embedded Key-Value Store which extends the Java Map interface

DBMS for storing time series, events and metrics

Embeddable relational database for web apps written in pure JavaScript

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Secondary database models

Spatial DBMS

with GEO package

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

Score	2.27
Rank	#112	Overall
	#54	Relational DBMS

Score	0.00
Rank	#384	Overall
	#59	Key-value stores

Score	22.39
Rank	#28	Overall
	#1	Time Series DBMS

Score	0.22
Rank	#302	Overall
	#137	Relational DBMS

Score	0.67
Rank	#225	Overall
	#105	Relational DBMS

Website

www.4d.com

boilerbay.com

www.influxdata.com/products/influxdb-overview

google.github.io/lovefield

sqream.com

Technical documentation

developer.4d.com

boilerbay.com/infinitydb/manual

docs.influxdata.com/influxdb

github.com/google/lovefield/blob/master/docs/spec_index.md

docs.sqream.com

Developer

4D, Inc

Boiler Bay Inc.

Google

SQream Technologies

Initial release

1984

2002

2013

2014

2017

Current release

v20, April 2023

4.0

2.7.6, April 2024

2.1.12, February 2017

2022.1.6, December 2022

License

Commercial or Open Source

commercial

Open Source

MIT-License; commercial enterprise version available

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

JavaScript

C++, CUDA, Haskell, Java, Scala

Server operating systems

OS X
Windows

All OS with a Java VM

Linux
OS X

through Homebrew

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

tested with Chrome, Firefox, IE, Safari

Linux

Data scheme

yes

nested virtual Java Maps, multi-value, logical â€˜tuple spaceâ€™ runtime Schema upgrade

schema-free

yes

Typing

predefined data types such as float or date

yes

all Java primitives, Date, CLOB, BLOB, huge sparse arrays

Numeric data and Strings

yes

yes, ANSI Standard SQL Types

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

manual creation possible, using inversions based on multi-value capability

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like query language

via JavaScript builder pattern

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm)

HTTP API
JSON over UDP

.Net
JDBC
ODBC

Supported programming languages

4D proprietary IDE
PHP

Java

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

JavaScript

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

user defined functions in Python

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

in enterprise version only

none

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

selectable replication factor

in enterprise version only

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

READ-COMMITTED or SERIALIZED

Immediate Consistency

Foreign keys

Referential integrity

yes

manual creation possible, using inversions based on multi-value capability

yes

Transaction concepts

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

ACID

Optimistic locking for transactions; no isolation for bulk loads

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

Depending on used storage engine

yes

using MemoryDB

User concepts

Access control

Users and groups

simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
» more

Competitive advantages

Time to Value InfluxDB is available in all the popular languages and frameworks,...
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Typical application scenarios

IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customers

InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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Market metrics

Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
» more

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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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More resources

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
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Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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4 July 2016, Matthias Gelbmann

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1 June 2015, Paul Andlinger

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Recent citations in the news

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20 May 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4 September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4 September 2024, InfoWorld

InfluxData Enhances InfluxDB 3.0 with Performance Upgrades and Self-Managed Option
5 September 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

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5 October 2023, Fierce Network

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

SQream and Datatrend announce strategic partnership agreement
30 August 2018, Geospatial World

provided by Google News

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