DBMS > BoltDB vs. Heroic vs. MaxDB vs. SpatiaLite vs. StarRocks

System Properties Comparison BoltDB vs. Heroic vs. MaxDB vs. SpatiaLite vs. StarRocks

Editorial information provided by DB-Engines

Name

Description

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

A robust and reliable RDBMS optimized to run all major SAP solutions

Spatial extension of SQLite

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Secondary database models

Relational DBMS

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

Score	0.74
Rank	#220	Overall
	#31	Key-value stores

Score	0.51
Rank	#255	Overall
	#21	Time Series DBMS

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Score	1.04
Rank	#189	Overall
	#88	Relational DBMS

Website

github.com/boltdb/bolt

github.com/spotify/heroic

maxdb.sap.com

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

www.starrocks.io

Technical documentation

spotify.github.io/heroic

maxdb.sap.com/documentation

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

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Spotify

SAP, acquired from Software AG (Adabas-D) in 1997

Alessandro Furieri

The Linux Foundation

since Feb 2023

Initial release

2013

2014

1984

2008

2020

Current release

7.9.10.12, February 2024

5.0.0, August 2020

2.5.3, March 2023

License

Commercial or Open Source

Open Source

MIT License

Open Source

Apache 2.0

commercial

Limited community edition free

Open Source

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

Open Source

Apache Version 2.0

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

AIX
HP-UX
Linux
Solaris
Windows

server-less

Linux

Data scheme

schema-free

yes

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

via Elasticsearch

yes

SQL

Support of SQL

yes

APIs and other access methods

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

ADO.NET
JDBC
ODBC
WebDAV

JDBC
MySQL protocol

Supported programming languages

.Net
C#
Java
Perl
PHP
Python

Java

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

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

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

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

More information provided by the system vendor

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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