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DBMS > ArangoDB vs. OpenEdge vs. Spark SQL

System Properties Comparison ArangoDB vs. OpenEdge vs. Spark SQL

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Application development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.77
Rank#87  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitearangodb.comwww.progress.com/­openedgespark.apache.org/­sql
Technical documentationdocs.arangodb.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Progress Software CorporationApache Software Foundation
Initial release201219842014
Current release3.11.5, November 2023OpenEdge 12.2, March 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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++Scala
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyes 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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infoclose to SQL 92SQL-like DML and DDL statements
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
Server-side scripts infoStored proceduresJavaScriptyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioning infosince Version 11.4yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replicationnone
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)
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nono
User concepts infoAccess controlyesUsers and groupsno
More information provided by the system vendor
ArangoDBOpenEdgeSpark SQL
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
ArangoDBOpenEdgeSpark SQL
DB-Engines blog posts

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

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