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DBMS > DolphinDB vs. Lovefield vs. Riak KV vs. Rockset

System Properties Comparison DolphinDB vs. Lovefield vs. Riak KV vs. Rockset

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonLovefield  Xexclude from comparisonRiak KV  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Embeddable relational database for web apps written in pure JavaScriptDistributed, fault tolerant key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.dolphindb.comgoogle.github.io/­lovefieldrockset.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.rockset.com
DeveloperDolphinDB, IncGoogleOpenSource, formerly Basho TechnologiesRockset
Initial release2018201420092019
Current releasev2.00.4, January 20222.1.12, February 20173.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptErlangC++
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnodynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyesyesrestrictedall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder patternnoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaScriptC 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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoErlangno
TriggersnoUsing read-only observersyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infono "single point of failure"Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlAdministrators, Users, Groupsnoyes, using Riak SecurityAccess rights for users and organizations can be defined via Rockset console

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More resources
DolphinDBLovefieldRiak KVRockset
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