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DBMS > ArangoDB vs. Qdrant vs. Tigris

System Properties Comparison ArangoDB vs. Qdrant vs. Tigris

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonQdrant  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A high-performance vector database with neural network or semantic-based matchingA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Vector DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#86  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.94
Rank#118  Overall
#8  Vector DBMS
Score0.04
Rank#357  Overall
#50  Document stores
#54  Key-value stores
#23  Search engines
#35  Time Series DBMS
Websitearangodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.tigrisdata.com
Technical documentationdocs.arangodb.comqdrant.tech/­documentationwww.tigrisdata.com/­docs
DeveloperArangoDB Inc.QdrantTigris Data, Inc.
Initial release201220212022
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Rust
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashNumbers, Strings, Geo, Booleanyes
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.nono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnonono
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesKey-based authenticationAccess rights for users and roles
More information provided by the system vendor
ArangoDBQdrantTigris
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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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
ArangoDBQdrantTigris
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

Here's the pitch deck a German software startup used to raise $10 million to move to San Francisco and take on Oracle
23 June 2019, Business Insider

ArangoDB 3.5 update improves multi-model database platform
22 August 2019, TechTarget

How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB
30 June 2023, DataDrivenInvestor

fastgraphml: A Low-code framework to accelerate the Graph Machine Learning model development...
15 November 2022, Towards Data Science

provided by Google News

Qdrant Launches the First Platform-Independent GPU-Accelerated Vector Indexing for Real-Time AI Applications
23 January 2025, Business Wire

Qdrant promises 10x faster indexing with GPU-powered vector database
23 January 2025, Blocks and Files

Qdrant launches hardware-independent, GPU-accelerated vector indexing capability
23 January 2025, SiliconANGLE News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

provided by Google News

Investing in Tigris
20 February 2024, Andreessen Horowitz

provided by Google News



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