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DBMS > atoti vs. Greenplum vs. Riak TS

System Properties Comparison atoti vs. Greenplum vs. Riak TS

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGreenplum  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Websiteatoti.iogreenplum.org
Technical documentationdocs.atoti.iodocs.greenplum.orgwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperActiveViamPivotal Software Inc.Open Source, formerly Basho Technologies
Initial release20052015
Current release7.0.0, September 20233.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemsLinuxLinux
OS X
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yes infosince Version 4.2no
Secondary indexesyesrestricted
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes, limited
APIs and other access methodsJDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
Java
Perl
Python
R
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 proceduresPythonyesErlang
Triggersyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
atotiGreenplumRiak TS
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