DBMS > InfluxDB vs. JSqlDb vs. Lovefield vs. Memgraph vs. searchxml

System Properties Comparison InfluxDB vs. JSqlDb vs. Lovefield vs. Memgraph vs. searchxml

Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

DBMS for storing time series, events and metrics

JavaScript Query Language Database, stores JavaScript objects and primitives

Embeddable relational database for web apps written in pure JavaScript

An open source graph database built for real-time streaming and compatible with Neo4j

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Time Series DBMS

Document store
Object oriented DBMS

Relational DBMS

Graph DBMS

Native XML DBMS
Search engine

Secondary database models

Spatial DBMS

with GEO package

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

Score	26.56
Rank	#28	Overall
	#1	Time Series DBMS

Score	0.32
Rank	#290	Overall
	#132	Relational DBMS

Score	3.00
Rank	#102	Overall
	#8	Graph DBMS

Score	0.01
Rank	#386	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

www.influxdata.com/products/influxdb-overview

jsqldb.org (offline)

google.github.io/lovefield

memgraph.com

www.searchxml.net/category/products

Technical documentation

docs.influxdata.com/influxdb

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

memgraph.com/docs

www.searchxml.net/support/handouts

Social network pages

Developer

Konrad von Backstrom

Google

Memgraph Ltd

informationpartners gmbh

Initial release

2013

2018

2014

2017

2015

Current release

2.7.5, January 2024

0.8, December 2018

2.1.12, February 2017

1.0

License

Commercial or Open Source

Open Source

MIT-License; commercial enterprise version available

Open Source

Apache 2.0

commercial

Free license available

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

JavaScript

C and C++

C++

Server operating systems

Linux
OS X

through Homebrew

Linux
macOS
Windows

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

tested with Chrome, Firefox, IE, Safari

Linux

Windows

Data scheme

schema-free

yes

schema-free and schema-optional

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

HTTP API
JSON over UDP

Bolt protocol
Cypher query language

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

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

JavaScript

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

functions in JavaScript

yes

on the application server

Triggers

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

none

Sharding

dynamic graph partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

none

Multi-source replication using RAFT

yes

sychronisation to multiple collections

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

relationships in graphs

Transaction concepts

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

ACID

with snapshot isolation

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

using RocksDB

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

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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

yes

User concepts

Access control

simple rights management via user accounts

Users, roles and permissions

Domain, group and role-based access control at the document level and for application services

More information provided by the system vendor

Specific characteristics

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

Memgraph directly connects to your streaming infrastructure so you and your team...
» more

Competitive advantages

Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more

Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more

Typical application scenarios

IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more

Key customers

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

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

You can check out our pricing model and licenses on the company website .
» 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

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

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