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DBMS > InfinityDB vs. IRONdb vs. Quasardb vs. Spark SQL vs. Trafodion

System Properties Comparison InfinityDB vs. IRONdb vs. Quasardb vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteboilerbay.comwww.circonus.com/solutions/time-series-database/quasar.aispark.apache.org/­sqltrafodion.apache.org
Technical documentationboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-starteddoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperBoiler Bay Inc.Circonus LLC.quasardbApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20022017200920142014
Current release4.0V0.10.20, January 20183.14.1, January 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++ScalaC++, Java
Server operating systemsAll OS with a Java VMLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histogramsyes infointeger and binaryyesyes
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.nonononono
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilitynoyes infowith tagsnoyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP APIHTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes, in LuanonoJava Stored Procedures
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeSharding infoconsistent hashingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awareSource-replica replication with selectable replication factornoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilitynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modenono
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard

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More resources
InfinityDBIRONdbQuasardbSpark SQLTrafodion
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