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DBMS > ArangoDB vs. Hazelcast vs. OmniSci

System Properties Comparison ArangoDB vs. Hazelcast vs. OmniSci

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonHazelcast  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A widely adopted in-memory data gridA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.37
Rank#70  Overall
#11  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score9.77
Rank#43  Overall
#5  Key-value stores
Score2.07
Rank#125  Overall
#62  Relational DBMS
Websitewww.arangodb.comhazelcast.comwww.omnisci.com
Technical documentationwww.arangodb.com/­docs/­stablehazelcast.org/­imdg/­docsdocs.omnisci.com
DeveloperArangoDB Inc.HazelcastMapD Technologies, Inc.
Initial release201220082016
Current release3.7.2.1, September 20204.1, November 2020V4
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++JavaC++ and CUDA
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJavaScriptyes infoEvent Listeners, Executor Servicesno
Triggersnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryes infoReplicated MapMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBHazelcastOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
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Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
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Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Hazelcast powers many types of large-scale, data processing applications. A sample...
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Hazelcast customers include 50 of the world’s largest financial services companies,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Hazelcast provides both open source and commercial software. The open source offering...
» more
News

ArangoML Series: Intro to the NetworkX Adapter
23 November 2020

ArangoML Part 4: Detecting Covariate Shift in Datasets
5 November 2020

ArangoML Part 3: Bootstrapping and Bias Variance
24 October 2020

ArangoML Part 2: Basic Arangopipe Workflow
9 October 2020

ArangoML Part 1: Where Graphs and Machine Learning Meet
25 September 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBHazelcastOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

ArangoDB Named to Accel Open100 and Tracxn Emerging Startups 2020
12 November 2020, PR Web

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNet

Operational Database Management Systems (OPDBMS) Software Market 2020 Forecast Research And Developments Analysis by Manufacturers – ArangoDB, DataStax, MarkLogic, Redis Labs, MongoDB, InterSystems, Amazon Web Services(AWS), RavenDB, Google, IBM, SQLite, EnterpriseOB, MariaDB, Couchbase, Microsoft, Oracle, SAP
18 November 2020, PRnews Leader

Graph Database Market Rising Opportunities, Growth Insights And Forecast 2026 Oracle, IBM, Microsoft, Amazon Web Services, Inc., Neo4j, Inc
20 November 2020, The Courier

Graph Database Market Analysis by Region Analysis and Business Development, By 2025
23 November 2020, Express Journal

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Hazelcast Expands, Adds Executives for Accelerated Growth
18 November 2020, Yahoo Finance

Hazelcast Advances Leadership, Lowers Barrier of Adoption to In-Memory Digital Integration Hubs
9 September 2020, PRNewswire

Hazelcast Adds SQL Support in Latest Upgrade -- ADTmag
17 September 2020, ADT Magazine

In-Memory Data Grid Market Forecast 2020-2026, Latest Trends and Opportunities| Oracle, IBM, Hazelcast
23 November 2020, The Haitian-Caribbean News Network

Hazelcast Cloud Enterprise Streamlines Application Modernization Projects Utilizing Multi-Cloud Architectures
19 August 2020, PRNewswire

provided by Google News

GPU database Market Sales Value, Key Vendors, Brand Positioning , Insights and Key Players -Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US)
23 November 2020, Cheshire Media

GPU Database Market Swot Analysis By Key Players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
18 November 2020, TechnoWeekly

Semantix, Latin American Analytics Leader, Chooses OmniSci To Bring Accelerated Visualization to Its Offerings
10 November 2020, PRNewswire

GPU Database: Market By New Business Developments, Innovations, And Top Companies – Forecast To 2026 | Fuzzy Logix, Anaconda, OmniSci, Zilliz
18 November 2020, The Daily Philadelphian

GPU Database Market Business Opportunity to 2027 – Top Companies Blazegraph (SYSTAP, LLC), BlazingDB, Inc., Brytlyt, Fuzzy Logix, Inc, Jedox AG, Kinetica DB Inc., Neo4j, Inc., OmniSci, Inc., SQream Technologies, ZILLIZ
17 November 2020, ICOTodayMagazine

provided by Google News

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