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DBMS > Apache Spark (SQL) vs. Badger vs. OrientDB

System Properties Comparison Apache Spark (SQL) vs. Badger vs. OrientDB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonBadger  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.80
Rank#31  Overall
#19  Relational DBMS
Score0.19
Rank#309  Overall
#43  Key-value stores
Score2.79
Rank#93  Overall
#16  Document stores
#6  Graph DBMS
#14  Key-value stores
Websitespark.apache.org/­sqlgithub.com/­dgraph-io/­badgerorientdb.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgodoc.org/­github.com/­dgraph-io/­badgerwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationDGraph LabsOrientDB LTD; CallidusCloud; SAP
Initial release201420172010
Current release3.5.0 ( 2.13), September 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGoJava
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
R
Scala
Go.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava, Javascript
TriggersnonoHooks
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 controlnonoAccess rights for users and roles; record level security configurable

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More resources
Apache Spark (SQL)BadgerOrientDB
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