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DBMS > AllegroGraph vs. LeanXcale vs. SQLite vs. Teradata

System Properties Comparison AllegroGraph vs. LeanXcale vs. SQLite vs. Teradata

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonSQLite  Xexclude from comparisonTeradata  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 capabilitiesWidely used embeddable, in-process RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#165  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.29
Rank#265  Overall
#44  Key-value stores
#122  Relational DBMS
Score123.31
Rank#9  Overall
#6  Relational DBMS
Score75.60
Rank#14  Overall
#9  Relational DBMS
Websiteallegrograph.comwww.leanxcale.comwww.sqlite.orgwww.teradata.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.sqlite.org/­docs.htmldocs.teradata.com
DeveloperFranz Inc.LeanXcaleDwayne Richard HippTeradata
Initial release2004201520001984
Current release7.0.0, April 20203.33.0 (August 14, 2020), August 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenononono
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
server-lesshosted
Linux
Data schemeyes infoRDF schemasyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyes infonot rigid because of 'dynamic typing' concept.yes
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 possiblenoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSPARQL is used as query languageyes infothrough Apache Derbyyes infoSQL-92 is not fully supportedyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
Java
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphLeanXcaleSQLiteTeradata
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

Data Fabrics and Knowledge Graphs — A Symbiotic Relationship
6 November 2020

RDF vs Property Graph – The Graph Show
3 November 2020

Text Analytics Forum 2020 – KMWorld Connect
27 October 2020

Sharing Ontologies Globally To Speed Science And Healthcare Solutions – OntoPortal
7 October 2020

Knowledge Graphs: A Single Source of Truth for the Enterprise
5 October 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.

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AllegroGraphLeanXcaleSQLiteTeradata
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