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DBMS > Apache Drill vs. ArangoDB vs. DuckDB vs. Kinetica

System Properties Comparison Apache Drill vs. ArangoDB vs. DuckDB vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonArangoDB  Xexclude from comparisonDuckDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageNative 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 RDBMSFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score3.30
Rank#82  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitedrill.apache.orgarangodb.comduckdb.orgwww.kinetica.com
Technical documentationdrill.apache.org/­docsdocs.arangodb.comduckdb.org/­docsdocs.kinetica.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperApache Software FoundationArangoDB Inc.Kinetica
Initial release2012201220182012
Current release1.20.3, January 20233.11.5, November 20231.0.0, June 20247.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-lessLinux
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
AQL
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
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++C#
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++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsJavaScriptnouser defined functions
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourceyesnoAccess rights for users and roles on table level
More information provided by the system vendor
Apache DrillArangoDBDuckDBKinetica
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
Apache DrillArangoDBDuckDBKinetica
DB-Engines blog posts

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

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