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

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

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHazelcast  Xexclude from comparisonPrometheus  Xexclude from comparisonSqrrl  Xexclude from comparisonStarRocks  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 gridOpen-source Time Series DBMS and monitoring systemAdaptable, secure NoSQL built on Apache AccumuloAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelTime Series DBMSKey-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.95
Rank#193  Overall
#89  Relational DBMS
Websiteblueflood.iohazelcast.comprometheus.iosqrrl.comwww.starrocks.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihazelcast.org/­imdg/­docsprometheus.io/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperRackspaceHazelcastAmazon infooriginally Sqrrl Data, Inc.The Linux Foundation infosince Feb 2023
Initial release20132008201520122020
Current release5.3.6, November 20233.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageJavaJavaGoJavaC++, Java
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Windows
LinuxLinux
Data schemepredefined schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 strategyno infoImport of XML data possibleno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenonoyes
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
MySQL protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
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
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnonouser defined functions
Triggersnoyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infomaking use of Hadoophorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated Mapyes infoby Federationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
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.Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entityno
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.noyesnono
User concepts infoAccess controlnoRole-based access controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role based access control and fine grained access rights

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More resources
BluefloodHazelcastPrometheusSqrrlStarRocks
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