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DBMS > Ingres vs. IRONdb vs. Sadas Engine vs. Splice Machine vs. SwayDB

System Properties Comparison Ingres vs. IRONdb vs. Sadas Engine vs. Splice Machine vs. SwayDB

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/www.sadasengine.comsplicemachine.comswaydb.simer.au
Technical documentationdocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
DeveloperActian CorporationCirconus LLC.SADAS s.r.l.Splice MachineSimer Plaha
Initial release1974 infooriginally developed at University Berkely in early 1970s2017200620142018
Current release11.2, May 2022V0.10.20, January 20188.03.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGNU Affero GPL V3.0
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++JavaScala
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxAIX
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesno
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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yesyesno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIJDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languages.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++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesyes, in Luanoyes infoJavano
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorconfigurable replication factor, datacenter awarenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
IngresIRONdbSadas EngineSplice MachineSwayDB
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