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DBMS > Riak KV vs. RRDtool vs. Sadas Engine vs. Spark SQL vs. SwayDB

System Properties Comparison Riak KV vs. RRDtool vs. Sadas Engine vs. Spark SQL vs. SwayDB

Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonRRDtool  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionDistributed, fault tolerant key-value storeIndustry 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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.10
Rank#82  Overall
#9  Key-value stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteoss.oetiker.ch/­rrdtoolwww.sadasengine.comspark.apache.org/­sqlswaydb.simer.au
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestoss.oetiker.ch/­rrdtool/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOpenSource, formerly Basho TechnologiesTobias OetikerSADAS s.r.l.Apache Software FoundationSimer Plaha
Initial release20091999200620142018
Current release3.2.0, December 20221.8.0, 20228.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL V2 and FLOSScommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC infoImplementations in Java (e.g. RRD4J) and C# availableC++ScalaScala
Server operating systemsLinux
OS X
HP-UX
Linux
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesno
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 possiblenonono
Secondary indexesrestrictednoyesnono
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API
Native Erlang Interface
in-process shared library
Pipes
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresErlangnononono
Triggersyes infopre-commit hooks and post-commit hooksnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonehorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storednoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyesyes
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.yesyes infomanaged by 'Learn by Usage'noyes
User concepts infoAccess controlyes, using Riak SecuritynoAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Riak KVRRDtoolSadas EngineSpark SQLSwayDB
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