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DBMS > ArangoDB vs. DuckDB vs. QuestDB vs. TinkerGraph

System Properties Comparison ArangoDB vs. DuckDB vs. QuestDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDuckDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An embeddable, in-process, column-oriented SQL OLAP RDBMSA high performance open source SQL database for time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitearangodb.comduckdb.orgquestdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.arangodb.comduckdb.org/­docsquestdb.io/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.QuestDB Technology Inc
Initial release2012201820142009
Current release3.11.5, November 20230.10, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++C++Java (Zero-GC), C++, RustJava
Server operating systemsLinux
OS X
Windows
server-lessLinux
macOS
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesSQL with time-series extensionsno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
TinkerPop 3
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Groovy
Java
Server-side scripts infoStored proceduresJavaScriptnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0nonehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornoneSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnonono
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 ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes inforelationships in graphsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyes
User concepts infoAccess controlyesnono
More information provided by the system vendor
ArangoDBDuckDBQuestDBTinkerGraph
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» 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
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» 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
ArangoDBDuckDBQuestDBTinkerGraph
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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