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DBMS > AllegroGraph vs. Apache Druid vs. HarperDB vs. Microsoft SQL Server vs. Quasardb

System Properties Comparison AllegroGraph vs. Apache Druid vs. HarperDB vs. Microsoft SQL Server vs. Quasardb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Microsofts flagship relational DBMSDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMS
Time Series DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteallegrograph.comdruid.apache.orgwww.harperdb.iowww.microsoft.com/­en-us/­sql-serverquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdoc.quasar.ai/­master
DeveloperFranz Inc.Apache Software Foundation and contributorsHarperDBMicrosoftquasardb
Initial release20042012201719892009
Current release8.0, December 202329.0.1, April 20243.1, August 2021SQL Server 2022, November 20223.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache license v2commercial infofree community edition availablecommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Linux
OS X
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasyes infoschema-less columns are supporteddynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes infointeger and binary
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 possiblenonoyesno
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageSQL for queryingSQL-like data manipulation statementsyesSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoCustom Functions infosince release 3.1Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clustertables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedyes, but depending on the SQL-Server EditionSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphApache DruidHarperDBMicrosoft SQL ServerQuasardb
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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