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DBMS > ArangoDB vs. Badger vs. SAP SQL Anywhere vs. Spark SQL vs. TempoIQ

System Properties Comparison ArangoDB vs. Badger vs. SAP SQL Anywhere vs. Spark SQL vs. TempoIQ

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBadger  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Key-value storeRelational DBMSRelational DBMSTime Series 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitearangodb.comgithub.com/­dgraph-io/­badgerwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqltempoiq.com (offline)
Technical documentationdocs.arangodb.comgodoc.org/­github.com/­dgraph-io/­badgerhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.DGraph LabsSAP infoformerly SybaseApache Software FoundationTempoIQ
Initial release20122017199220142012
Current release3.11.5, November 202317, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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++GoScala
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnoyesyesyes
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.noyesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
GoC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnoyes, in C/C++, Java, .Net or Perlnono
Triggersnonoyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0nonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornoneSource-replica replication infoDatabase mirroringnone
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 Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardnosimple authentication-based access control
More information provided by the system vendor
ArangoDBBadgerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLTempoIQ infoformerly TempoDB
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
ArangoDBBadgerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLTempoIQ infoformerly TempoDB
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