DBMS > Hive vs. InterSystems IRIS vs. LeanXcale vs. Tarantool

System Properties Comparison Hive vs. InterSystems IRIS vs. LeanXcale vs. Tarantool

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Editorial information provided by DB-Engines

Name

Description

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

A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

In-memory database with an integrated application server

Primary database model

Relational DBMS

Document store
Key-value store
Object oriented DBMS
Relational DBMS

Key-value store
Relational DBMS

Key-value store

Secondary database models

Document store
Relational DBMS
Spatial DBMS

with Tarantool/GIS extension

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

Score	81.61
Rank	#17	Overall
	#11	Relational DBMS

Score	2.25
Rank	#119	Overall
	#22	Document stores
	#23	Key-value stores
	#2	Object oriented DBMS
	#59	Relational DBMS

Score	0.18
Rank	#292	Overall
	#42	Key-value stores
	#136	Relational DBMS

Score	1.34
Rank	#151	Overall
	#28	Key-value stores

Website

hive.apache.org

www.intersystems.com/products/intersystems-iris

www.leanxcale.com

www.tarantool.io

Technical documentation

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

docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls

www.tarantool.io/en/doc

Developer

Apache Software Foundation

initially developed by Facebook

InterSystems

LeanXcale

Mail.ru Group

Initial release

2012

2018

2015

2008

Current release

3.1.2, August 2019

2021.1, June 2021

2.4.2, July 2020

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C and C++

Server operating systems

All OS with a Java VM

AIX
Linux
macOS
Windows

BSD
Linux
macOS

Data scheme

yes

depending on used data model

yes

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

string, double, decimal, uuid, integer, blob, boolean

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 DML and DDL statements

yes

through Apache Derby

Full-featured ANSI SQL support

APIs and other access methods

JDBC
ODBC
Thrift

JDBC
ODBC
RESTful HTTP API

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Open binary protocol

Supported programming languages

C++
Java
PHP
Python

.Net
C++
Java
JavaScript (Node.js)
Python

C
Java
Scala

C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Lua, C and SQL stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Hash sharding based on virtual buckets

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Source-replica replication

Multi-source replication
Source-replica replication

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

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

yes, with SQL

Transaction concepts

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

ACID

ACID, read commited

Concurrency

Support for concurrent manipulation of data

yes

yes, cooperative multitasking

Durability

Support for making data persistent

yes

yes, regular snapshots on disk, write ahead logging

In-memory capabilities

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

yes

yes, full featured in-memory storage engine with persistence

User concepts

Access control

Access rights for users, groups and roles

yes

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Full ACID and full SQL operational database with analytical queries over operational...
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Competitive advantages

Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more

Typical application scenarios

Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
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Key customers

banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
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Market metrics

15 beta testers
» more

Licensing and pricing models

annual fee covering license and support based on number of physical cores
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