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DBMS > Blueflood vs. Hazelcast vs. LokiJS vs. Riak KV vs. Spark SQL

System Properties Comparison Blueflood vs. Hazelcast vs. LokiJS vs. Riak KV vs. Spark SQL

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHazelcast  Xexclude from comparisonLokiJS  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA widely adopted in-memory data gridIn-memory JavaScript DBMSDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSKey-value storeDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.49
Rank#260  Overall
#42  Document stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iohazelcast.comgithub.com/­techfort/­LokiJSspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihazelcast.org/­imdg/­docstechfort.github.io/­LokiJSwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceHazelcastOpenSource, formerly Basho TechnologiesApache Software Foundation
Initial release20132008201420092014
Current release5.3.6, November 20233.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptErlangScala
Server operating systemsLinux
OS X
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Linux
OS X
Windows
Data schemepredefined schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.noyes infothe object must implement a serialization strategynonono
Secondary indexesnoyesyes infovia viewsrestrictedno
SQL infoSupport of SQLnoSQL-like query languagenonoSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
JavaScript APIHTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesView functions in JavaScriptErlangno
Triggersnoyes infoEventsyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding infono "single point of failure"yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated Mapnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedno infoatomic operations within a single collection possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoRole-based access controlnoyes, using Riak Securityno

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More resources
BluefloodHazelcastLokiJSRiak KVSpark SQL
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