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DBMS > Spark SQL vs. Splunk vs. Sqrrl vs. Transbase vs. Vitess

System Properties Comparison Spark SQL vs. Splunk vs. Sqrrl vs. Transbase vs. Vitess

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSplunk  Xexclude from comparisonSqrrl  Xexclude from comparisonTransbase  Xexclude from comparisonVitess  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingAnalytics Platform for Big DataAdaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitespark.apache.org/­sqlwww.splunk.comsqrrl.comwww.transaction.de/­en/­products/­transbase.htmlvitess.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.splunk.com/­Documentation/­Splunkwww.transaction.de/­en/­products/­transbase/­features.htmlvitess.io/­docs
DeveloperApache Software FoundationSplunk Inc.Amazon infooriginally Sqrrl Data, Inc.Transaction Software GmbHThe Linux Foundation, PlanetScale
Initial release20142003201219872013
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availablecommercialcommercial infofree development licenseOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC and C++Go
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commandsnoyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoyesyes infoproprietary syntax
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factor infomaking use of HadoopSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingAtomic updates per row, document, or graph entityyesACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyes
User concepts infoAccess controlnoAccess rights for users and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Spark SQLSplunkSqrrlTransbaseVitess
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