DBMS > Hazelcast vs. LevelDB vs. Yaacomo

System Properties Comparison Hazelcast vs. LevelDB vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

A widely adopted in-memory data grid

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

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Key-value store

Relational 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	5.58
Rank	#57	Overall
	#6	Key-value stores

Score	1.92
Rank	#118	Overall
	#18	Key-value stores

Website

hazelcast.com

github.com/google/leveldb

yaacomo.com

Technical documentation

hazelcast.org/imdg/docs

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

Developer

Hazelcast

Google

Q2WEB GmbH

Initial release

2008

2011

2009

Current release

5.3.6, November 2023

1.23, February 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

BSD

commercial

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.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Illumos
Linux
OS X
Windows

Android
Linux
Windows

Data scheme

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.

yes

the object must implement a serialization strategy

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JCache
JPA
Memcached protocol
RESTful HTTP API

JDBC
ODBC

Supported programming languages

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

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

Triggers

yes

Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

none

Source-replica replication

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

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

with automatic compression on writes

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Hazelcast embraces vector search
30 July 2024, Blocks and Files

Hazelcast 5.4 real time data processing platform boosts AI and consistency
17 April 2024, VentureBeat

Hazelcast debuts new in-memory data processing platform
14 July 2021, SiliconANGLE

Hazelcast, AArete Join Forces to Optimize Financial Services Firms Customer Experiences
13 July 2023, Tech Times

In-memory computing platform Hazelcast announces $21.5 million raise
19 June 2019, Built In

provided by Google News

Pliops unveils XDP-Rocks for RocksDB
19 October 2022, Blocks and Files

Inside the "Fallguys" malware that steals your browsing data and gaming IMs; continued attack on open source software
2 September 2020, Sonatype

RocksDB - Facebook's Database Now Open Source
21 November 2013, i-programmer.info

CoinLurker: The Stealer Powering the Next Generation of Fake Updates
16 December 2024, Morphisec

Hackers Use New Ransomware that Encrypts Files & Steals Tokens From Victim’s Machine
21 November 2022, GBHackers News

provided by Google News

Share this page