DBMS > EXASOL vs. FeatureBase vs. Hive vs. TempoIQ

System Properties Comparison EXASOL vs. FeatureBase vs. Hive vs. TempoIQ

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

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

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

Primary database model

Relational DBMS

Time Series DBMS

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

Score	1.99
Rank	#124	Overall
	#58	Relational DBMS

Score	0.22
Rank	#309	Overall
	#139	Relational DBMS

Score	61.17
Rank	#18	Overall
	#12	Relational DBMS

Website

www.exasol.com

www.featurebase.com

hive.apache.org

tempoiq.com (offline)

Technical documentation

www.exasol.com/resources

docs.featurebase.com

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

Developer

Exasol

Molecula and Pilosa Open Source Contributors

Apache Software Foundation

initially developed by Facebook

TempoIQ

Initial release

2000

2017

2012

Current release

2022, May 2022

3.1.3, April 2022

License

Commercial or Open Source

commercial

Open Source

Apache Version 2

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

Linux
macOS

All OS with a Java VM

Data scheme

yes

schema-free

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

yes

SQL queries

SQL-like DML and DDL statements

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

gRPC
JDBC
Kafka Connector
ODBC

JDBC
ODBC
Thrift

HTTP API

Supported programming languages

Java
Lua
Python
R

Java
Python

C++
Java
PHP
Python

C#
Java
JavaScript

Node.js
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

yes

user defined functions and integration of map-reduce

Triggers

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

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

Access rights for users, groups and roles according to SQL-standard

Access rights for users, groups and roles

simple authentication-based access control

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More resources

DB-Engines blog posts

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13 May 2013, Paul Andlinger

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