DBMS > GeoMesa vs. LMDB vs. Memcached vs. SiriDB vs. Snowflake

System Properties Comparison GeoMesa vs. LMDB vs. Memcached vs. SiriDB vs. Snowflake

Editorial information provided by DB-Engines

Name

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

In-memory key-value store, originally intended for caching

Open Source Time Series DBMS

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

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

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	2.09
Rank	#121	Overall
	#20	Key-value stores

Score	18.08
Rank	#32	Overall
	#4	Key-value stores

Score	0.07
Rank	#378	Overall
	#42	Time Series DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Website

www.geomesa.org

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

www.memcached.org

siridb.com

www.snowflake.com

Technical documentation

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

www.lmdb.tech/doc

github.com/memcached/memcached/wiki

docs.siridb.com

docs.snowflake.net/manuals/index.html

Developer

CCRi and others

Symas

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Cesbit

Snowflake Computing Inc.

Initial release

2014

2011

2003

2017

2014

Current release

5.0.0, May 2024

0.9.32, January 2024

1.6.27, May 2024

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

BSD license

Open Source

MIT License

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Scala

Server operating systems

Linux
Unix
Windows

FreeBSD
Linux
OS X
Unix
Windows

Linux

hosted

Data scheme

yes

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

Typing

predefined data types such as float or date

yes

Numeric data

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

Proprietary protocol

HTTP API

CLI Client
JDBC
ODBC

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

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

none

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

none

Repcached, a Memcached patch, provides this functionallity

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

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

User concepts

Access control

yes

depending on the DBMS used for storage

yes

using SASL (Simple Authentication and Security Layer) protocol

simple rights management via user accounts

Users with fine-grained authorization concept, user roles and pluggable authentication

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