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DBMS > Riak TS vs. Spark SQL vs. Teradata vs. Tigris

System Properties Comparison Riak TS vs. Spark SQL vs. Teradata vs. Tigris

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Editorial information provided by DB-Engines
NameRiak TS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitespark.apache.org/­sqlwww.teradata.comwww.tigrisdata.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comwww.tigrisdata.com/­docs
DeveloperOpen Source, formerly Basho TechnologiesApache Software FoundationTeradataTigris Data, Inc.
Initial release2015201419842022
Current release3.0.0, September 20223.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangScala
Server operating systemsLinux
OS X
Linux
OS X
Windows
hosted
Linux
Linux
macOS
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesno
Secondary indexesrestrictednoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes, limitedSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsno
APIs and other access methodsHTTP API
Native Erlang Interface
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
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
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresErlangnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersyes infopre-commit hooks and post-commit hooksnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Riak TSSpark SQLTeradataTigris
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