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DBMS > Firebolt vs. Hazelcast vs. JaguarDB vs. SiriDB vs. Sphinx

System Properties Comparison Firebolt vs. Hazelcast vs. JaguarDB vs. SiriDB vs. Sphinx

Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonHazelcast  Xexclude from comparisonJaguarDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA widely adopted in-memory data gridPerformant, highly scalable DBMS for AI and IoT applicationsOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeKey-value store
Vector DBMS
Time Series DBMSSearch engine
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
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.firebolt.iohazelcast.comwww.jaguardb.comsiridb.comsphinxsearch.com
Technical documentationdocs.firebolt.iohazelcast.org/­imdg/­docswww.jaguardb.com/­support.htmldocs.siridb.comsphinxsearch.com/­docs
DeveloperFirebolt Analytics Inc.HazelcastDataJaguar, Inc.CesbitSphinx Technologies Inc.
Initial release20202008201520172001
Current release5.3.6, November 20233.3 July 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL V3.0Open Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languagesCC++
Server operating systemshostedAll OS with a Java VMLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datano
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 indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query language (SphinxQL)
APIs and other access methods.Net
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
HTTP APIProprietary protocol
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnonono
Triggersnoyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoReplicated MapMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access controlrights management via user accountssimple rights management via user accountsno

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More resources
FireboltHazelcastJaguarDBSiriDBSphinx
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