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DBMS > AllegroGraph vs. Apache Drill vs. Microsoft Azure Table Storage vs. Rockset

System Properties Comparison AllegroGraph vs. Apache Drill vs. Microsoft Azure Table Storage vs. Rockset

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA Wide Column Store for rapid development using massive semi-structured datasetsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Wide column storeDocument store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.07
Rank#180  Overall
#31  Document stores
Websiteallegrograph.comdrill.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesrockset.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldrill.apache.org/­docsdocs.rockset.com
DeveloperFranz Inc.Apache Software FoundationMicrosoftRockset
Initial release2004201220122019
Current release8.0, December 20231.20.3, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
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
Linux
OS X
Windows
hostedhosted
Data schemeyes infoRDF schemasschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 possiblenonono infoingestion from XML files supported
Secondary indexesyesnonoall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageSQL SELECT statement is SQL:2003 compliantnoRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoImplicit feature of the cloud serviceAutomatic sharding
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.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDepending on the underlying data sourceAccess rights based on private key authentication or shared access signaturesAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
AllegroGraphApache DrillMicrosoft Azure Table StorageRockset
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Awesome AI Companies – Franz Inc.
17 July 2024

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More resources
AllegroGraphApache DrillMicrosoft Azure Table StorageRockset
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