DBMS > Hazelcast vs. LMDB vs. OpenEdge vs. Snowflake vs. TigerGraph

System Properties Comparison Hazelcast vs. LMDB vs. OpenEdge vs. Snowflake vs. TigerGraph

Editorial information provided by DB-Engines

Name

Description

A widely adopted in-memory data grid

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

Application development environment with integrated database management system

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

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Key-value store

Relational DBMS

Graph DBMS

Secondary database models

Document store

JSON support with IMDG 3.12

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

Score	5.72
Rank	#59	Overall
	#6	Key-value stores

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

Score	3.69
Rank	#78	Overall
	#42	Relational DBMS

Score	133.72
Rank	#7	Overall
	#5	Relational DBMS

Score	1.44
Rank	#152	Overall
	#14	Graph DBMS

Website

hazelcast.com

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

www.progress.com/openedge

www.snowflake.com

www.tigergraph.com

Technical documentation

hazelcast.org/imdg/docs

www.lmdb.tech/doc

documentation.progress.com/output/ua/OpenEdge_latest

docs.snowflake.net/manuals/index.html

docs.tigergraph.com

Developer

Hazelcast

Symas

Progress Software Corporation

Snowflake Computing Inc.

Initial release

2008

2011

1984

2014

2017

Current release

5.3.6, November 2023

0.9.32, January 2024

OpenEdge 12.2, March 2020

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

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

Java

C++

Server operating systems

All OS with a Java VM

Linux
Unix
Windows

AIX
HP-UX
Linux
Solaris
Windows

hosted

Linux

Data scheme

schema-free

yes

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

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.

yes

the object must implement a serialization strategy

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

close to SQL 92

yes

SQL-like query language (GSQL)

APIs and other access methods

JCache
JPA
Memcached protocol
RESTful HTTP API

JDBC
ODBC

CLI Client
JDBC
ODBC

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

.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

Progress proprietary ABL (Advanced Business Language)

JavaScript (Node.js)
Python

C++
Java

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

yes

user defined functions

yes

Triggers

yes

Events

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

since Version 11.4

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

none

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

one or two-phase-commit; repeatable reads; read commited

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

Role-based access control

Users and groups

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

Role-based access control

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