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DBMS > Apache Spark (SQL) vs. Prometheus vs. Riak TS

System Properties Comparison Apache Spark (SQL) vs. Prometheus vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingOpen-source Time Series DBMS and monitoring systemRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score6.77
Rank#52  Overall
#2  Time Series DBMS
Score0.19
Rank#317  Overall
#27  Time Series DBMS
Websitespark.apache.org/­sqlprometheus.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software FoundationOpen Source, formerly Basho Technologies
Initial release201420152015
Current release3.5.0 ( 2.13), September 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGoErlang
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesnonorestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes, limited
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesJava
Python
R
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 controlnonono

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More resources
Apache Spark (SQL)PrometheusRiak TS
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