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DBMS > Apache Spark (SQL) vs. Datastax Enterprise vs. Splunk

System Properties Comparison Apache Spark (SQL) vs. Datastax Enterprise vs. Splunk

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Analytics Platform for Big Data
Primary database modelRelational DBMSWide column storeSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.76
Rank#30  Overall
#18  Relational DBMS
Score3.89
Rank#69  Overall
#4  Wide column stores
Score78.87
Rank#15  Overall
#2  Search engines
Websitespark.apache.org/­sqlwww.datastax.com/­products/­datastax-enterprisewww.splunk.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.datastax.comdocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software FoundationDataStaxSplunk Inc.
Initial release201420112003
Current release3.5.0 ( 2.13), September 20236.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP REST
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.noyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectAccess rights for users and roles

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More resources
Apache Spark (SQL)Datastax EnterpriseSplunk
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