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DBMS > Riak TS vs. RRDtool vs. Spark SQL vs. YDB

System Properties Comparison Riak TS vs. RRDtool vs. Spark SQL vs. YDB

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Editorial information provided by DB-Engines
NameRiak TS  Xexclude from comparisonRRDtool  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Spark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteoss.oetiker.ch/­rrdtoolspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestoss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperOpen Source, formerly Basho TechnologiesTobias OetikerApache Software FoundationYandex
Initial release2015199920142019
Current release3.0.0, September 20221.8.0, 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemsLinux
OS X
HP-UX
Linux
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoNumeric data onlyyesyes
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 infoExporting into and restoring from XML files possiblenono
Secondary indexesrestrictednonoyes
SQL infoSupport of SQLyes, limitednoSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsHTTP API
Native Erlang Interface
in-process shared library
Pipes
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC 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
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresErlangnonono
Triggersyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnononoAccess rights defined for Yandex Cloud users

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More resources
Riak TSRRDtoolSpark SQLYDB
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