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DBMS > BigObject vs. Cloudflare Workers KV vs. MarkLogic vs. Riak KV

System Properties Comparison BigObject vs. Cloudflare Workers KV vs. MarkLogic vs. Riak KV

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMarkLogic  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Operational and transactional Enterprise NoSQL databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitebigobject.iowww.cloudflare.com/­developer-platform/­workers-kvwww.marklogic.com
Technical documentationdocs.bigobject.iodevelopers.cloudflare.com/­kv/­apidocs.marklogic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBigObject, Inc.CloudflareMarkLogic Corp.OpenSource, formerly Basho Technologies
Initial release2015201820012009
Current release11.0, December 20223.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Erlang
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-free infoSchema can be enforcedschema-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.nonoyesno
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL92no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
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 proceduresLuanoyes infovia XQuery or JavaScriptErlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsyes, using Riak Security

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More resources
BigObjectCloudflare Workers KVMarkLogicRiak KV
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