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DBMS > AllegroGraph vs. Apache Impala vs. Kdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison AllegroGraph vs. Apache Impala vs. Kdb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for HadoopHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument storeRelational 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
#9  Vector DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteallegrograph.comimpala.apache.orgkx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmlcode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaKx Systems, a division of First Derivatives plcMicrosoft
Initial release200420132000 infokdb was released 2000, kdb+ in 20032016
Current release8.0, December 20234.1.0, June 20223.6, May 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++qC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
hosted
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsSQL-like query language (q)yes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reduceuser defined functionsTransact SQL
Triggersyesnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsyes
More information provided by the system vendor
AllegroGraphApache ImpalaKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
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