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DBMS > Blueflood vs. Hazelcast vs. OrientDB vs. Prometheus vs. Sqrrl

System Properties Comparison Blueflood vs. Hazelcast vs. OrientDB vs. Prometheus vs. Sqrrl

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHazelcast  Xexclude from comparisonOrientDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraA widely adopted in-memory data gridMulti-model DBMS (Document, Graph, Key/Value)Open-source Time Series DBMS and monitoring systemAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websiteblueflood.iohazelcast.comorientdb.orgprometheus.iosqrrl.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihazelcast.org/­imdg/­docswww.orientdb.com/­docs/­last/­index.htmlprometheus.io/­docs
DeveloperRackspaceHazelcastOrientDB LTD; CallidusCloud; SAPAmazon infooriginally Sqrrl Data, Inc.
Initial release20132008201020152012
Current release5.3.6, November 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaGoJava
Server operating systemsLinux
OS X
All OS with a Java VMAll OS with a Java JDK (>= JDK 6)Linux
Windows
Linux
Data schemepredefined schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 strategynono infoImport of XML data possible
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language, no joinsnono
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesJava, Javascriptnono
Triggersnoyes infoEventsHooksnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated MapMulti-source replicationyes infoby Federationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesnoyes
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 AlgorithmnoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole-based access controlAccess rights for users and roles; record level security configurablenoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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