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DBMS > FatDB vs. Firebolt vs. Hazelcast vs. Yanza

System Properties Comparison FatDB vs. Firebolt vs. Hazelcast vs. Yanza

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFirebolt  Xexclude from comparisonHazelcast  Xexclude from comparisonYanza  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseA widely adopted in-memory data gridTime Series DBMS for IoT Applications
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.firebolt.iohazelcast.comyanza.com
Technical documentationdocs.firebolt.iohazelcast.org/­imdg/­docs
DeveloperFatCloudFirebolt Analytics Inc.HazelcastYanza
Initial release2012202020082015
Current release5.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java
Server operating systemsWindowshostedAll OS with a Java VMWindows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesSQL-like query languageno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.Net
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languagesC#Go
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoEvent Listeners, Executor Servicesno
Triggersyes infovia applicationsnoyes infoEventsyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layeryes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access controlno

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More resources
FatDBFireboltHazelcastYanza
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