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DBMS > Amazon DocumentDB vs. Blueflood vs. Elasticsearch vs. LevelDB vs. Riak KV

System Properties Comparison Amazon DocumentDB vs. Blueflood vs. Elasticsearch vs. LevelDB vs. Riak KV

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBlueflood  Xexclude from comparisonElasticsearch  Xexclude from comparisonLevelDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable TimeSeries DBMS based on CassandraA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, fault tolerant key-value store
Primary database modelDocument storeTime Series DBMSSearch engineKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Websiteaws.amazon.com/­documentdbblueflood.iowww.elastic.co/­elasticsearchgithub.com/­google/­leveldb
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­rax-maas/­blueflood/­wikiwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperRackspaceElasticGoogleOpenSource, formerly Basho Technologies
Initial release20192013201020112009
Current release8.6, January 20231.23, February 20213.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoElastic LicenseOpen Source infoBSDOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Erlang
Server operating systemshostedLinux
OS X
All OS with a Java VMIllumos
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freepredefined schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesyesnoyes infoAll search fields are automatically indexednorestricted
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTJava API
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
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
Server-side scripts infoStored proceduresnonoyesnoErlang
Triggersnonoyes infoby using the 'percolation' featurenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandrayesnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlAccess rights for users and rolesnonoyes, using Riak Security

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More resources
Amazon DocumentDBBluefloodElasticsearchLevelDBRiak KV
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