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DBMS > Faircom DB vs. Firebolt vs. H2 vs. Percona Server for MongoDB vs. SQream DB

System Properties Comparison Faircom DB vs. Firebolt vs. H2 vs. Percona Server for MongoDB vs. SQream DB

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonFirebolt  Xexclude from comparisonH2  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.firebolt.iowww.h2database.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsqream.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.firebolt.iowww.h2database.com/­html/­main.htmldocs.percona.com/­percona-distribution-for-mongodbdocs.sqream.com
DeveloperFairCom CorporationFirebolt Analytics Inc.Thomas MuellerPerconaSQream Technologies
Initial release19792020200520152017
Current releaseV12, November 20202.2.220, July 20233.4.10-2.10, November 20172022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedAll OS with a Java VMLinuxLinux
Data schemeschema free, schema optional, schema required, partial schema,yesyesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyesyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesyesnoyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
proprietary protocol using JSON.Net
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
JavaScript (Node.js)
Python
JavaActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noJava Stored Procedures and User-Defined FunctionsJavaScriptuser defined functions in Python
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).depending on storage layerWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engine
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Faircom DB infoformerly c-treeACEFireboltH2Percona Server for MongoDBSQream DB
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