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DBMS > LevelDB vs. Riak KV vs. Sqrrl vs. Teradata Aster

System Properties Comparison LevelDB vs. Riak KV vs. Sqrrl vs. Teradata Aster

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, fault tolerant key-value storeAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitegithub.com/­google/­leveldbsqrrl.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleOpenSource, formerly Basho TechnologiesAmazon infooriginally Sqrrl Data, Inc.Teradata
Initial release2011200920122005
Current release1.23, February 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangJava
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
LinuxLinux
Data schemeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenonoyesyes
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 infoin Aster File Store
Secondary indexesnorestrictedyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP API
Native Erlang Interface
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoErlangnoR packages
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorselectable replication factor infomaking use of Hadoopyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyes, using Riak SecurityCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
LevelDBRiak KVSqrrlTeradata Aster
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