DBMS > Dolt vs. GeoMesa vs. Immudb vs. Microsoft Azure Synapse Analytics

System Properties Comparison Dolt vs. GeoMesa vs. Immudb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines

Name

Description

A MySQL compatible DBMS with Git-like versioning of data and schema

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Primary database model

Secondary database models

Document store

Relational DBMS

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

Score	1.02
Rank	#191	Overall
	#89	Relational DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	0.31
Rank	#295	Overall
	#42	Key-value stores

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Website

github.com/dolthub/dolt
www.dolthub.com

www.geomesa.org

github.com/codenotary/immudb
immudb.io

azure.microsoft.com/services/synapse-analytics

Technical documentation

docs.dolthub.com

www.geomesa.org/documentation/stable/user/index.html

docs.immudb.io

docs.microsoft.com/azure/synapse-analytics

Developer

DoltHub Inc

CCRi and others

Codenotary

Microsoft

Initial release

2018

2014

2020

2016

Current release

5.0.0, May 2024

1.2.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache License 2.0

Open Source

Apache Version 2.0

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

Scala

C++

Server operating systems

Linux
macOS
Windows

BSD
Linux
macOS
Solaris
Windows
z/OS

hosted

Data scheme

yes

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

SQL

Support of SQL

yes

SQL-like syntax

yes

APIs and other access methods

CLI Client
HTTP REST

gRPC protocol
PostgreSQL wire protocol

ADO.NET
JDBC
ODBC

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
Go
Java
JavaScript (Node.js)
Python

C#
Java
PHP

Server-side scripts

Stored procedures

yes

currently in alpha release

Transact SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

depending on storage layer

Sharding

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

depending on storage layer

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

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.

depending on storage layer

User concepts

Access control

Only one user is configurable, and must be specified in the config file at startup

yes

depending on the DBMS used for storage

yes

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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