DBMS > BoltDB vs. Hive vs. Kinetica vs. RDF4J

System Properties Comparison BoltDB vs. Hive 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.

data warehouse software for querying and managing large distributed datasets, built on Hadoop

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

Key-value store

Relational DBMS

RDF store

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

Score	0.55
Rank	#221	Overall
	#34	Key-value stores

Score	76.04
Rank	#14	Overall
	#9	Relational DBMS

Score	0.74
Rank	#195	Overall
	#97	Relational DBMS

Score	0.50
Rank	#232	Overall
	#9	RDF stores

Website

github.com/boltdb/bolt

hive.apache.org

www.kinetica.com

rdf4j.org

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

www.kinetica.com/docs

rdf4j.org/documentation

Developer

Apache Software Foundation

initially developed by Facebook

Kinetica

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

Initial release

2013

2012

2004

Current release

3.1.2, August 2019

6.0

License

Commercial or Open Source

Open Source

MIT License

Open Source

Apache Version 2

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

Java

C, C++

Java

Server operating systems

BSD
Linux
OS X
Solaris
Windows

All OS with a Java VM

Linux

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

Typing

predefined data types such as float or date

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 DML and DDL statements

APIs and other access methods

JDBC
ODBC
Thrift

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

C++
Java
PHP
Python

C++
Java
JavaScript (Node.js)
Python

Java
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

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

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

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, groups and roles

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

DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Key Value Database Market Demands To Sustain By 2025: The Apache Software Foundation, Memcached, Redis Labs, Couchbase, Amazon Web Services (AWS), Aerospike, Microsoft, ArangoDB, DataStax, BoltDB, Software AG, FairCom Corporation, Cloudera, Oracle, GigaSpaces Technologies, Pivotal Software, Google
3 March 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
1 March 2021, Express Keeper

Global Key-Value Stores Market 2021 – Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore – KSU | The Sentinel Newspaper
3 March 2021, KSU | The Sentinel Newspaper

Muriate of Potash (MOP) Market 2021 Industry Size, Share, Growth and Top Companies Analysis- Israel Chemical, Nutrien, Mosaic, Yara, Arab Potash, etc.
1 March 2021, Express Keeper

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

provided by Google News

Apache Iceberg: The Hub of an Emerging Data Service Ecosystem?
8 February 2021, Datanami

Article: Performance Tuning Techniques of Hive Big Data Table
5 February 2021, InfoQ.com

Open-Source Database Software Market 2021 Industry Growth Analysis, Future Predictions, SWOT Analysis, By Top Players- MySQL Redis MongoDB Couchbase Apache Hive MariaDB Neo4j SQLite Titan
2 March 2021, NY Market Reports

Prophecy.io raises $6.75 million to expand its data engineering platform
24 February 2021, VentureBeat

2011 – The Emergence of Hadoop
1 March 2021, Datanami

provided by Google News

GPU Database Market Size 2021, Global Growth Rate by Manufacturers – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, NVIDIA, Blazegraph, Jedox, Neo4j, HeteroDB, Fuzzy Logix, Anaconda – The Bisouv Network
5 March 2021, The Bisouv Network

GPU Database Market Research Report 2027 : Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
4 March 2021, The Bisouv Network

Global GPU Database Market Analysis By Growth and Forecast 2025: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda etc.
2 March 2021, NY Market Reports

Global GPU Database Market 2025: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
28 February 2021, NY Market Reports

GPU Database Market 2021 Global Industry Trends, Vehicle Type, Service Provider, Development Factors, Growth, Future Prospects, Challenges, Economic Aspect & Forecast 2026 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – The Bisouv Network
4 March 2021, The Bisouv Network

provided by Google News

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

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

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

GraphDB Goes Open Source
27 January 2020, iProgrammer

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

provided by Google News

Job opportunities

Software Developer I
S&P Global, New York, NY

.Net Software Developer
Prabhav Services, Parsippany, NJ

Data Engineer
Simplex Software, Remote

Data Analyst - Looker
Elasticiti, Remote

Apache Spark
Denken Solutions Inc, Beaverton, OR

jobs by

Share this page