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

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

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonBadger  Xexclude from comparisonRavenDB  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.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSKey-value storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
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
Score2.50
Rank#102  Overall
#19  Document stores
Websitespark.apache.org/­sqlgithub.com/­dgraph-io/­badgerravendb.net
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgodoc.org/­github.com/­dgraph-io/­badgerravendb.net/­docs
DeveloperApache Software FoundationDGraph LabsHibernating Rhinos
Initial release201420172010
Current release3.5.0 ( 2.13), September 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGoC#
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
Go.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
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 methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction available
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 controlnonoAuthorization levels configured per client per database

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More resources
Apache Spark (SQL)BadgerRavenDB
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