DBMS > GeoMesa vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. TempoIQ

System Properties Comparison GeoMesa vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. TempoIQ

Editorial information provided by DB-Engines

Name

SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

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

Description

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

A high performant, light-weight, embedded key-value database library

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

Low-cost RDBMS with access to ISAM and FoxPro data structures

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

Primary database model

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

Score	0.78
Rank	#214	Overall
	#4	Spatial DBMS

Score	1.94
Rank	#120	Overall
	#20	Key-value stores

Score	18.98
Rank	#31	Overall
	#19	Relational DBMS

Website

www.geomesa.org

www.symas.com/symas-embedded-database-lmdb

azure.microsoft.com/services/synapse-analytics

www.sap.com/products/advantage-database-server.html

tempoiq.com (offline)

Technical documentation

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

www.lmdb.tech/doc

docs.microsoft.com/azure/synapse-analytics

Developer

CCRi and others

Symas

Microsoft

Sybase, SAP

TempoIQ

Initial release

2014

2011

2016

1993

2012

Current release

5.0.1, July 2024

0.9.32, January 2024

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

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
Unix
Windows

hosted

Linux
Windows

Data scheme

yes

schema-free

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

APIs and other access methods

ADO.NET
JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

HTTP API

Supported programming languages

.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl

C#
Java
PHP

Delphi
Perl
PHP

C#
Java
JavaScript

Node.js
Python
Ruby

Server-side scripts

Stored procedures

Transact SQL

yes

Triggers

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

none

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

none

yes

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

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

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

yes

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

yes

caching of (temporary) tables can be configured

User concepts

Access control

yes

depending on the DBMS used for storage

yes

fine grained access rights according to SQL-standard

simple authentication-based access control

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

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