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DBMS > Graph Engine vs. Quasardb vs. Sqrrl vs. Stardog vs. Teradata

System Properties Comparison Graph Engine vs. Quasardb vs. Sqrrl vs. Stardog vs. Teradata

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonQuasardb  Xexclude from comparisonSqrrl  Xexclude from comparisonStardog  Xexclude from comparisonTeradata  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed, high-performance timeseries databaseAdaptable, secure NoSQL built on Apache AccumuloEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMS
Key-value store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.graphengine.ioquasar.aisqrrl.comwww.stardog.comwww.teradata.com
Technical documentationwww.graphengine.io/­docs/­manualdoc.quasar.ai/­masterdocs.stardog.comdocs.teradata.com
DeveloperMicrosoftquasardbAmazon infooriginally Sqrrl Data, Inc.Stardog-UnionTeradata
Initial release20102009201220101984
Current release3.14.1, January 20247.3.0, May 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++JavaJava
Server operating systems.NETBSD
Linux
OS X
Windows
LinuxLinux
macOS
Windows
hosted
Linux
Data schemeyesschema-freeschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyesyes
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.nonono infoImport/export of XML data possibleyes
Secondary indexesyes infowith tagsyesyes infosupports real-time indexing in full-text and geospatialyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like query languagenoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIHTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnonouser defined functions and aggregates, HTTP Server extensions in Javayes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingSharding infomaking use of HadoopnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factor infomaking use of HadoopMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic updates per row, document, or graph entityACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyesyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityQuasardbSqrrlStardogTeradata
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