DBMS > Heroic vs. Hypertable vs. ITTIA vs. SpatiaLite

System Properties Comparison Heroic vs. Hypertable vs. ITTIA vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

An open source BigTable implementation based on distributed file systems such as Hadoop

Edge Time Series DBMS with Real-Time Stream Processing

Spatial extension of SQLite

Primary database model

Secondary database models

Relational DBMS

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

Score	0.46
Rank	#265	Overall
	#22	Time Series DBMS

Score	0.44
Rank	#267	Overall
	#23	Time Series DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

github.com/spotify/heroic

www.ittia.com

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

spotify.github.io/heroic

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Spotify

Hypertable Inc.

ITTIA L.L.C.

Alessandro Furieri

Initial release

2014

2009

2007

2008

Current release

0.9.8.11, March 2016

8.7

5.0.0, August 2020

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GNU version 3. Commercial license available

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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 and C++

C++

Server operating systems

Linux
OS X
Windows

an inofficial Windows port is available

Linux
Windows

server-less

Data scheme

schema-free

Fixed schema

yes

Typing

predefined data types such as float or date

yes

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

via Elasticsearch

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

yes

APIs and other access methods

HQL (Heroic Query Language, a JSON-based language)
HTTP API

C++ API
Thrift

JDBC
ODBC
RESTful HTTP API
WebSocket

Supported programming languages

C++
Java
Perl
PHP
Python
Ruby

C
C++
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor on file system level

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

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

Database file passwords

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More resources

DB-Engines blog posts

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6 April 2021, Matthias Gelbmann

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