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DBMS > ArangoDB vs. BigObject vs. Datomic vs. DuckDB

System Properties Comparison ArangoDB vs. BigObject vs. Datomic vs. DuckDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonDuckDB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Analytic DBMS for real-time computations and queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMS
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Websitearangodb.combigobject.iowww.datomic.comduckdb.org
Technical documentationdocs.arangodb.comdocs.bigobject.iodocs.datomic.comduckdb.org/­docs
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.BigObject, Inc.Cognitect
Initial release2012201520122018
Current release3.11.5, November 20231.0.6735, June 20230.10, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree community edition availablecommercial infolimited edition freeOpen Source infoMIT License
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++Java, ClojureC++
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMserver-less
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
fluentd
ODBC
RESTful HTTP API
RESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Clojure
Java
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
Server-side scripts infoStored proceduresJavaScriptLuayes infoTransaction Functionsno
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0nonenone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornonenone infoBut extensive use of caching in the application peersnone
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)
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlyesnonono
More information provided by the system vendor
ArangoDBBigObjectDatomicDuckDB
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
ArangoDBBigObjectDatomicDuckDB
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