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DBMS > Apache Pinot vs. LevelDB vs. Microsoft Azure Table Storage vs. Riak KV

System Properties Comparison Apache Pinot vs. LevelDB vs. Microsoft Azure Table Storage vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsDistributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value storeWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.55
Rank#80  Overall
#6  Wide column stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitepinot.apache.orggithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.pinot.apache.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation and contributorsGoogleMicrosoftOpenSource, formerly Basho Technologies
Initial release2015201120122009
Current release1.0.0, September 20231.23, February 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsAll OS with a Java JDK11 or higherIllumos
Linux
OS X
Windows
hostedLinux
OS X
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono
Secondary indexesnonorestricted
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBCRESTful HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresnonoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingno
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.no
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesyes, using Riak Security

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More resources
Apache PinotLevelDBMicrosoft Azure Table StorageRiak KV
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