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DBMS > Firebolt vs. Hazelcast vs. HEAVY.AI vs. NCache

System Properties Comparison Firebolt vs. Hazelcast vs. HEAVY.AI vs. NCache

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonHazelcast  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA widely adopted in-memory data gridA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Websitewww.firebolt.iohazelcast.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.alachisoft.com/­ncache
Technical documentationdocs.firebolt.iohazelcast.org/­imdg/­docsdocs.heavy.aiwww.alachisoft.com/­resources/­docs
DeveloperFirebolt Analytics Inc.HazelcastHEAVY.AI, Inc.Alachisoft
Initial release2020200820162005
Current release5.3.6, November 20235.10, January 20225.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC#, .NET, .NET Core, Java
Server operating systemshostedAll OS with a Java VMLinuxLinux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 strategynono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methods.Net
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnono infosupport for stored procedures with SQL-Server CLR
Triggersnoyes infoEventsnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinyes
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoReplicated MapMulti-source replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednooptimistic locking and pessimistic locking
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.yesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
FireboltHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
FireboltHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NCache
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