DBMS > BoltDB vs. IRONdb vs. Kinetica vs. RDF4J

System Properties Comparison BoltDB vs. IRONdb vs. Kinetica vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An embedded key-value store for Go.

A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity

GPU-accelerated database for real-time analysis of large and streaming datasets

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

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

Score	0.55
Rank	#220	Overall
	#34	Key-value stores

Score	0.00
Rank	#334	Overall
	#31	Time Series DBMS

Score	0.75
Rank	#194	Overall
	#98	Relational DBMS

Score	0.51
Rank	#230	Overall
	#9	RDF stores

Website

github.com/boltdb/bolt

www.circonus.com/solutions/time-series-database

www.kinetica.com

rdf4j.org

Technical documentation

docs.circonus.com/irondb

www.kinetica.com/docs

rdf4j.org/documentation

Developer

Circonus LLC.

Kinetica

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2013

2017

2012

2004

Current release

V0.10.20, January 2018

6.0

License

Commercial or Open Source

Open Source

MIT License

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

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++

C, C++

Java

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

text, numeric, histograms

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

SQL-like query language (Circonus Analytics Query Language: CAQL)

SQL-like DML and DDL statements

APIs and other access methods

HTTP API

JDBC
ODBC
RESTful HTTP API

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

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

C++
Java
JavaScript (Node.js)
Python

Java
PHP
Python

Server-side scripts

Stored procedures

yes, in Lua

user defined functions

yes

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic, metric affinity per node

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

configurable replication factor, datacenter aware

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate consistency per node, eventual consistency across nodes

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

GPU vRAM or System RAM

User concepts

Access control

Access rights for users and roles on table level

More information provided by the system vendor

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

Recent citations in the news

2021 and Beyond: Key-Value Stores Market Research Report | Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase, Memcached, Oracle
21 February 2021, Express Keeper

Key-Value Stores Market Report 2025 : Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase, Memcached, Oracle, DataStax, Infinispan
12 February 2021, The Bisouv Network

Global Key-Value Stores Market Report 2021: Top Companies Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase, Memcached, Oracle, DataStax, Infinispan etc
8 February 2021, Jumbo News

In-depth Research on Multiplex Assay Market Business Status, Industry Trends and Outlook 2020 to 2026 – Express Keeper
21 February 2021, Express Keeper

Gartner Names Demisto 'Cool Vendor' in Security Ops & Vulnerability Mgt
15 May 2018, 107.180.56.147

provided by Google News

Circonus Announces Availability of Spring 2020 Release
21 April 2020, PRNewswire

Database Heterogeneity Helps Address IoT Analytics Challenges
22 September 2020, IoT World Today

On the Radar: COVID-19, Circonus, and Fake FB Accounts
4 March 2020, Datanami

provided by Google News

GPU Database Market- Business Overview and Forecast 2021-2026 by Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, and more | Affluence – The Bisouv Network
26 February 2021, The Bisouv Network

GPU Database Market Report 2021:- Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB, Zilliz, SQream, Jedox, HeteroDB, Blazegraph, H2O.ai, FASTDATA.io, Fuzzy Logix, Graphistry
25 February 2021, NY Market Reports

2021: Top 5 Disruptive Trends in the GPU Database Market by Top Companies : Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
25 February 2021, NeighborWebSJ

GPU Database Market to Witness Huge Growth by 2027 | Kinetica, Omnisci, Sqream and Others
22 February 2021, NY Market Reports

GPU Database Market Technological Progress, Regional Outlook by players – Anaconda, SQream, HeteroDB, Jedox, Neo4j, Kinetica, Fuzzy Logix, Blazegraph, Zilliz, Brytlyt, OmniSci, Graphistry, NVIDIA, BlazingDB – The Bisouv Network
25 February 2021, The Bisouv Network

provided by Google News

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PR Newswire UK

GraphDB Goes Open Source
27 January 2020, iProgrammer

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

provided by Google News

Job opportunities

Staff Software Engineer, Video Experience Insights - HBO Max
HBO, Seattle, WA

Manager, Software Engineering, Video Experience Insights - HBO Max
HBO, Seattle, WA

jobs by

Share this page