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DBMS > AllegroGraph vs. Amazon Redshift vs. LeanXcale

System Properties Comparison AllegroGraph vs. Amazon Redshift vs. LeanXcale

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSLarge scale data warehouse service for use with business intelligence toolsA 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
Relational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score23.01
Rank#30  Overall
#17  Relational DBMS
Score0.31
Rank#261  Overall
#45  Key-value stores
#119  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­redshiftwww.leanxcale.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­redshift
DeveloperFranz Inc.Amazon (based on PostgreSQL)LeanXcale
Initial release200420122015
Current release7.0.0, April 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyes
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 possibleno
Secondary indexesyesrestricted
SQL infoSupport of SQLSPARQL is used as query languageyes infodoes not fully support an SQL-standardyes infothrough Apache Derby
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
Java
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin Python
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemyes
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphAmazon RedshiftLeanXcale
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» 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
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual 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

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
AllegroGraphAmazon RedshiftLeanXcale
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

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

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

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

Fast and predictable performance with serverless compilation using Amazon Redshift
4 September 2020, idk.dev

Amazon Introduces Data API for Redshift
11 September 2020, ProgrammableWeb

Best practices using AWS SCT and AWS Snowball to migrate from Teradata to Amazon Redshift
24 September 2020, idk.dev

Snowflake's complicated ties to Amazon present a long-term risk to IPO investors
16 September 2020, CNBC

How Aruba Networks built a cost analysis solution using AWS Glue, Amazon Redshift, and Amazon QuickSight
2 September 2020, idk.dev

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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