DBMS > Hive vs. IRONdb

System Properties Comparison Hive vs. IRONdb

Please select another system to include it in the comparison.

Our visitors often compare Hive and IRONdb with InfluxDB, TimescaleDB and Prometheus.

Editorial information provided by DB-Engines

Name

Description

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

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

Primary database model

Relational DBMS

Time Series DBMS

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

Score	84.74
Rank	#14	Overall
	#9	Relational DBMS

Score	0.05
Rank	#324	Overall
	#28	Time Series DBMS

Website

hive.apache.org

www.irondb.io

Technical documentation

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

www.irondb.io/docs

Developer

Apache Software Foundation info

initially developed by Facebook

Circonus LLC.

Initial release

2012

2017

Current release

2.3.6, August 2019

V0.10.20, January 2018

License

Commercial or Open Source

Open Source info

Apache Version 2

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Java

C and C++

Server operating systems

All OS with a Java VM

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

text, numeric, histograms

XML support info

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

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

APIs and other access methods

JDBC
ODBC
Thrift

HTTP API

Supported programming languages

C++
Java
PHP
Python

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

Server-side scripts info

Stored procedures

yes

user defined functions and integration of map-reduce

yes, in Lua

Triggers

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Automatic, metric affinity per node

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

configurable replication factor, datacenter aware

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate consistency per node, eventual consistency across nodes

Foreign keys info

Referential integrity

Transaction concepts info

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

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

User concepts info

Access control

Access rights for users, groups and roles

More information provided by the system vendor

Specific characteristics

IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more

Competitive advantages

Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more

Typical application scenarios

Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more

Key customers

IRONdb serves the needs of the world's largest Time Series Database customers. One...
» more

Market metrics

Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more

Licensing and pricing models

IRONdb is licensed under a subscription model based on the number of active metrics...
» more

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.