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DBMS > atoti vs. Pinecone vs. Riak KV vs. SiteWhere

System Properties Comparison atoti vs. Pinecone vs. Riak KV vs. SiteWhere

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonPinecone  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A managed, cloud-native vector databaseDistributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series data
Primary database modelObject oriented DBMSVector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteatoti.iowww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationdocs.atoti.iodocs.pinecone.io/­docs/­overviewwww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperActiveViamPinecone Systems, IncOpenSource, formerly Basho TechnologiesSiteWhere
Initial release201920092010
Current release3.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
Data schemeschema-freepredefined scheme
Typing infopredefined data types such as float or dateString, Number, Booleannoyes
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 indexesrestrictedno
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonono
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesPythonC 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 proceduresPythonErlang
Triggersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
atotiPineconeRiak KVSiteWhere
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