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DBMS > ArangoDB vs. GridGain vs. Qdrant

System Properties Comparison ArangoDB vs. GridGain vs. Qdrant

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGridGain  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.GridGain is an in-memory computing platform, built on Apache IgniteA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Vector 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
Score1.29
Rank#159  Overall
#1  Columnar
#26  Key-value stores
#4  Object oriented DBMS
#70  Relational DBMS
Score1.94
Rank#118  Overall
#8  Vector DBMS
Websitearangodb.comwww.gridgain.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.arangodb.comwww.gridgain.com/­docs/­index.htmlqdrant.tech/­documentation
DeveloperArangoDB Inc.GridGain Systems, Inc.Qdrant
Initial release201220072021
Current release3.11.5, November 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial, open sourceOpen 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++Java, C++, .Net, Python, REST, SQLRust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
Docker
Linux
macOS
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesNumbers, 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.yesno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresJavaScriptyes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)
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 factoryes (replicated cache)Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes (compute grid and hadoop accelerator)no
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)
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesRole-based access control
Security Hooks for custom implementations
Key-based authentication
More information provided by the system vendor
ArangoDBGridGainQdrant
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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More resources
ArangoDBGridGainQdrant
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
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ArangoDB 3.5 update improves multi-model database platform
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13 August 2024, Forbes

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

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

Vector database company Qdrant wants RAG to be more cost-effective
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