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DBMS > LevelDB vs. Riak TS vs. Teradata

System Properties Comparison LevelDB vs. Riak TS vs. Teradata

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRiak TS  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeTime Series DBMSRelational 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
Score3.32
Rank#100  Overall
#16  Key-value stores
Score0.28
Rank#308  Overall
#27  Time Series DBMS
Score48.95
Rank#20  Overall
#14  Relational DBMS
Websitegithub.com/­google/­leveldbwww.teradata.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.teradata.com
DeveloperGoogleOpen Source, formerly Basho TechnologiesTeradata
Initial release201120151984
Current release1.23, February 20213.0.0, September 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoBSDOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Erlang
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
hosted
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.nonoyes
Secondary indexesnorestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes, limitedyes infoSQL 2016 + extensions
APIs and other access methodsHTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoErlangyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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LevelDBRiak TSTeradata
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