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DBMS > AllegroGraph vs. EXASOL vs. NSDb vs. Qdrant

System Properties Comparison AllegroGraph vs. EXASOL vs. NSDb vs. Qdrant

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonNSDb  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteallegrograph.comwww.exasol.comnsdb.iogithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.exasol.com/­resourcesnsdb.io/­Architectureqdrant.tech/­documentation
DeveloperFranz Inc.ExasolQdrant
Initial release2004200020172021
Current release8.0, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageJava, ScalaRust
Server operating systemsLinux
OS X
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringNumbers, Strings, Geo, Boolean
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
Secondary indexesyesyesall fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like query languageno
APIs and other access methodsRESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
Lua
Python
R
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardKey-based authentication
More information provided by the system vendor
AllegroGraphEXASOLNSDbQdrant
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
News

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphEXASOLNSDbQdrant
Recent citations in the news

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
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Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
14 May 2024, insideBIGDATA

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

Top Customer-Rated Exasol Espresso Gets Boost of AI
13 November 2023, Yahoo Finance

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
21 February 2024, businesswire.com

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Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

Qdrant Raises $28M to Advance Massive-Scale AI Applications
26 January 2024, Datanami

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

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