DBMS > ObjectBox vs. RRDtool vs. SQLite vs. Stardog

System Properties Comparison ObjectBox vs. RRDtool vs. SQLite vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Extremely fast embedded database for small devices, IoT and Mobile

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

Widely used embeddable, in-process RDBMS

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Secondary database models

Time Series DBMS

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

Score	0.75
Rank	#195	Overall
	#9	Object oriented DBMS

Score	3.00
Rank	#97	Overall
	#5	Time Series DBMS

Score	123.17
Rank	#9	Overall
	#6	Relational DBMS

Score	1.46
Rank	#137	Overall
	#10	Graph DBMS
	#6	RDF stores

Website

objectbox.io

oss.oetiker.ch/rrdtool

www.sqlite.org

www.stardog.com

Technical documentation

docs.objectbox.io

oss.oetiker.ch/rrdtool/doc

www.sqlite.org/docs.html

docs.stardog.com

Developer

ObjectBox Limited

Tobias Oetiker

Dwayne Richard Hipp

Stardog-Union

Initial release

2017

1999

2000

2010

Current release

1.7.2, May 2019

3.34.1, January 2021

7.3.0, May 2020

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

GPL V2 and FLOSS

Open Source

Public Domain

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

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

C and C++

Implementations in Java (e.g. RRD4J) and C# available

Java

Server operating systems

Android
iOS
Linux
macOS
Windows

HP-UX
Linux

server-less

Linux
macOS
Windows

Data scheme

yes

dynamic column types

schema-free and OWL/RDFS-schema support

Typing

predefined data types such as float or date

yes

Numeric data only

yes

not rigid because of 'dynamic typing' concept.

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.

Exporting into and restoring from XML files possible

Import/export of XML data possible

Secondary indexes

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

yes

SQL-92 is not fully supported

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

Proprietary native API

in-process shared library
Pipes

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

online/offline synchronization between client and server

none

Multi-source replication in HA-Cluster

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

yes

via file-system locks

yes

Durability

Support for making data persistent

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

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more

Competitive advantages

Stardog provides a full featureset to aid in data integration for your complex data....
» more

Typical application scenarios

Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more

Key customers

Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more

Market metrics

Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more

Licensing and pricing models

A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

News

Flutter databases – sqflite, hive, ObjectBox, and Moor
3 February 2021

Firebase, Firebase alternatives – a look at data sync solutions
3 February 2021

ObjectBox Dart/Flutter v0.11 Database: Performance & Relations
2 February 2021

What is Data Synchronization + How to Keep Data in Sync
29 January 2021

Three small things to do some good for startups
17 December 2020

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.