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DBMS > AllegroGraph vs. LeanXcale vs. Microsoft Azure Data Explorer

System Properties Comparison AllegroGraph vs. LeanXcale vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesFully managed big data interactive analytics platform
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMS infocolumn oriented
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
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
Score0.31
Rank#261  Overall
#45  Key-value stores
#119  Relational DBMS
Score3.71
Rank#83  Overall
#42  Relational DBMS
Websiteallegrograph.comwww.leanxcale.comazure.microsoft.com/­services/­data-explorer
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperFranz Inc.LeanXcaleMicrosoft
Initial release200420152019
Current release7.0.0, April 2020cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyes infoRDF schemasyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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 possibleyes
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageyes infothrough Apache DerbyKusto Query Language (KQL), SQL subset
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispYes, possible languages: KQL, Python, R
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAzure Active Directory Authentication
More information provided by the system vendor
AllegroGraphLeanXcaleMicrosoft Azure Data Explorer
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
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» 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
Kusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metrics15 beta testers
» more
Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» 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

Related products and services

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

More resources
AllegroGraphLeanXcaleMicrosoft Azure Data Explorer
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

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

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
22 August 2020, insideBIGDATA

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

provided by Google News

Major Advancements in Big Data in the Automotive Industry: 2018 – 2030
17 September 2020, The Daily Chronicle

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

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

Azure Updates: AI supercomputing; Data Share & Data Explorer; Synapse Analytics; Blob Storage
27 August 2020, MSDynamicsWorld.com

How to share data in place from Azure Data Explorer - Microsoft
20 December 2019, Channel 9

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

How to use Azure Data Explorer for large-scale data analysis
12 February 2019, InfoWorld

Zoomd Takes Another Step Towards Becoming an Industry Leader After Adopting Microsoft's Azure Data Explorer
4 December 2019, PRNewswire

provided by Google News

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