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DBMS > atoti vs. Dolt vs. Geode vs. Riak KV

System Properties Comparison atoti vs. Dolt vs. Geode vs. Riak KV

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolt  Xexclude from comparisonGeode  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A MySQL compatible DBMS with Git-like versioning of data and schemaGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed, fault tolerant key-value store
Primary database modelObject oriented DBMSRelational DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteatoti.iogithub.com/­dolthub/­dolt
www.dolthub.com
geode.apache.org
Technical documentationdocs.atoti.iodocs.dolthub.comgeode.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperActiveViamDoltHub IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.OpenSource, formerly Basho Technologies
Initial release201820022009
Current release1.1, February 20173.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaErlang
Server operating systemsLinux
macOS
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesnorestricted
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query language (OQL)no
APIs and other access methodsCLI Client
HTTP REST
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
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 proceduresPythonyes infocurrently in alpha releaseuser defined functionsErlang
Triggersyesyes infoCache Event Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
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.yesyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights per client and object definableyes, using Riak Security

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More resources
atotiDoltGeodeRiak KV
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