DBMS > LevelDB vs. Memgraph vs. Netezza vs. OpenSearch

System Properties Comparison LevelDB vs. Memgraph vs. Netezza vs. OpenSearch

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Editorial information provided by DB-Engines

Name

Description

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

An open source graph database built for real-time streaming and compatible with Neo4j

Data warehouse and analytics appliance part of IBM PureSystems

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

Primary database model

Secondary database models

Vector DBMS

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

Score	2.25
Rank	#115	Overall
	#19	Key-value stores

Score	3.19
Rank	#94	Overall
	#8	Graph DBMS

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	16.03
Rank	#37	Overall
	#4	Search engines

Website

github.com/google/leveldb

memgraph.com

www.ibm.com/products/netezza

github.com/opensearch-project
opensearch.org

Technical documentation

github.com/google/leveldb/blob/main/doc/index.md

memgraph.com/docs

opensearch.org/docs/latest

Social network pages

Developer

Google

Memgraph Ltd

IBM

Amazon Web Services

Initial release

2011

2017

2000

2021

Current release

1.23, February 2021

2.5.0, January 2023

License

Commercial or Open Source

Open Source

BSD

Open Source

BSL 1.1; commercial license for enterprise edition available

commercial

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.

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Implementation language

C++

C and C++

Java

Server operating systems

Illumos
Linux
OS X
Windows

Linux

included in appliance

All OS with a Java VM

Data scheme

schema-free

schema-free and schema-optional

yes

schema-free

Flexible type definitions. Once a type is defined, it is persistent

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

All search fields are automatically indexed

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

Bolt protocol
Cypher query language

JDBC
ODBC
OLE DB

Java API
RESTful HTTP/JSON API

Supported programming languages

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

C
C++
Fortran
Java
Lua
Perl
Python
R

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

dynamic graph partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication using RAFT

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

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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

Users, roles and permissions

Users with fine-grained authorization concept

More information provided by the system vendor

Specific characteristics

Memgraph directly connects to your streaming infrastructure so you and your team...
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OpenSearch is a highly scalable and extensible open-source software suite for search,...
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Competitive advantages

Business Source License ensures a future for the Memgraph community MAGE algorithm...
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Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenarios

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
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The OpenSearch platform is used across a broad range of search , analytics, and observability...
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Licensing and pricing models

You can check out our pricing model and licenses on the company website .
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The OpenSearch Project offers open source software licensed under Apache License...
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