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DBMS > AllegroGraph vs. ArangoDB vs. LeanXcale

System Properties Comparison AllegroGraph vs. ArangoDB vs. LeanXcale

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonArangoDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Search engine
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#168  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score5.55
Rank#69  Overall
#11  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score0.31
Rank#261  Overall
#45  Key-value stores
#119  Relational DBMS
Websiteallegrograph.comwww.arangodb.comwww.leanxcale.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.arangodb.com/­docs/­stable
DeveloperFranz Inc.ArangoDB Inc.LeanXcale
Initial release200420122015
Current release7.0.0, April 20203.7.2.1, September 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial
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++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-free infoautomatically recognizes schema within a collectionyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hash
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.no infobulk load of XML files possible
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infothrough Apache Derby
APIs and other access methodsRESTful HTTP API
SPARQL
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
Java
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJavaScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infosince version 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with configurable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes
More information provided by the system vendor
AllegroGraphArangoDBLeanXcale
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
One Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Consolidation: As a native multi-model database, can be used as a full blown document...
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
15 beta testers
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
annual fee covering license and support based on number of physical cores
» more
News

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 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

ArangoDB Assembles 10,000 GitHub Stargazers
20 July 2020

A Deep And Fuzzy Dive Into Search
16 July 2020

Related products and services

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

More resources
AllegroGraphArangoDBLeanXcale
DB-Engines blog posts

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

show all

Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

Franz Expands with Introduction of Gruff 8
13 May 2020, Database Trends and Applications

provided by Google News

NoSQL Databases Software Market Trends 2020 | Growth by Top Companies : MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic
1 October 2020, The Daily Chronicle

NoSQL Database Software Market projecting a CAGR of 35.1% during the forecasted period, 2020-2026
1 October 2020, The Daily Chronicle

Impact of COVID-19 Outbreak on Global Document Databases Software Market 2020 Industry Size, Advancement Strategy, Top Players, SWOT Analysis and 2025 Forecasts
1 October 2020, The Daily Chronicle

Graph Database Market – Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2020 – 2025
1 October 2020, The Daily Chronicle

Trending 2020 NoSQL Databases Software Market By Competitive Environment, Research Study, Key Players Analysis, Sales Revenue, Global Opportunities and Resources Analysis 2025
1 October 2020, The Daily Chronicle

provided by Google News

Hunting For Disruption At Collision Conference
29 April 2016, Forbes

Tailored IoT & BigData Sandboxes and Testbeds for Smart, Autonomous and Personalized Services in the European Finance and Insurance Services Ecosystem | INFINITECH Project | H2020 | CORDIS | European Commission
13 December 2019, ICT Results

The Future Chief Data Officer 2018 Special Report
28 September 2020, Raconteur

Big Data Market: 2018-2030: Big Data Vendors will Pocket Over $65 Billion from Hardware, Software and Professional Services Revenues with revenues to Hit $96 Billion by 2021
22 June 2018, PR Newswire

Big Data Investments in the Healthcare & Pharmaceutical Industry Will Account for Nearly $4.7 Billion in 2018 Alone
30 July 2018, PR Newswire

provided by Google News

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