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DBMS > Faircom DB vs. HyperSQL vs. IRONdb vs. JanusGraph vs. Netezza

System Properties Comparison Faircom DB vs. HyperSQL vs. IRONdb vs. JanusGraph vs. Netezza

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIRONdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbhsqldb.orgwww.circonus.com/solutions/time-series-database/janusgraph.orgwww.ibm.com/­products/­netezza
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.circonus.com/irondb/category/getting-starteddocs.janusgraph.org
DeveloperFairCom CorporationCirconus LLC.Linux Foundation; originally developed as Titan by AureliusIBM
Initial release19792001201720172000
Current releaseV12, November 20202.7.2, June 2023V0.10.20, January 20180.6.3, February 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infobased on BSD licensecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaC and C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
OS X
Unix
Windows
Linux infoincluded in appliance
Data schemeschema free, schema optional, schema required, partial schema,yesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyes infotext, numeric, histogramsyesyes
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++Java, SQLyes, in Luayesyes
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneAutomatic, metric affinity per nodeyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
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).noneconfigurable replication factor, datacenter awareyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept

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More resources
Faircom DB infoformerly c-treeACEHyperSQL infoalso known as HSQLDBIRONdbJanusGraph infosuccessor of TitanNetezza infoAlso called PureData System for Analytics by IBM
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