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DBMS > EXASOL vs. Ingres vs. IRONdb vs. Kinetica vs. Titan

System Properties Comparison EXASOL vs. Ingres vs. IRONdb vs. Kinetica vs. Titan

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonTitan  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Well established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.exasol.comwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/www.kinetica.comgithub.com/­thinkaurelius/­titan
Technical documentationwww.exasol.com/­resourcesdocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperExasolActian CorporationCirconus LLC.KineticaAurelius, owned by DataStax
Initial release20001974 infooriginally developed at University Berkely in early 1970s201720122012
Current release11.2, May 2022V0.10.20, January 20187.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C, C++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes 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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes, in Luauser defined functionsyes
Triggersyesyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodeShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorconfigurable replication factor, datacenter awareSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelUser authentification and security via Rexster Graph Server

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More resources
EXASOLIngresIRONdbKineticaTitan
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