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DBMS > ArangoDB vs. Hypertable vs. RavenDB

System Properties Comparison ArangoDB vs. Hypertable vs. RavenDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Wide column storeDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.55
Rank#69  Overall
#11  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score4.33
Rank#80  Overall
#13  Document stores
Websitewww.arangodb.comravendb.net
Technical documentationwww.arangodb.com/­docs/­stableravendb.net/­docs
DeveloperArangoDB Inc.Hypertable Inc.Hibernating Rhinos
Initial release201220092010
Current release3.7.2.1, September 20200.9.8.11, March 20164.2, May 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license 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.RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageC++C++C#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
C++ API
Thrift
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorselectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesyes infoMapReduce functions can be defined in Linq
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlyesnoAccess control on document level using the Authorization Bundle
More information provided by the system vendor
ArangoDBHypertableRavenDB
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
News

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

A story of a memory leak in GO: How to properly use time.After()
14 September 2020

ArangoDB 3.7 – A Big Step Forward for Multi-Model
27 August 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
ArangoDBHypertableRavenDB
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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