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DBMS > FeatureBase vs. Firebolt vs. Hazelcast

System Properties Comparison FeatureBase vs. Firebolt vs. Hazelcast

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebolt  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseA widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.featurebase.comwww.firebolt.iohazelcast.com
Technical documentationdocs.featurebase.comdocs.firebolt.iohazelcast.org/­imdg/­docs
DeveloperMolecula and Pilosa Open Source ContributorsFirebolt Analytics Inc.Hazelcast
Initial release201720202008
Current release2022, May 20225.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
macOS
hostedAll OS with a Java VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 strategy
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesyesSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
.Net
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesJava
Python
Go
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Services
Triggersnonoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layeryes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access control

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More resources
FeatureBaseFireboltHazelcast
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