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DBMS > atoti vs. Ingres vs. Sadas Engine vs. Spark SQL vs. VictoriaMetrics

System Properties Comparison atoti vs. Ingres vs. Sadas Engine vs. Spark SQL vs. VictoriaMetrics

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonIngres  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Well established RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteatoti.iowww.actian.com/­databases/­ingreswww.sadasengine.comspark.apache.org/­sqlvictoriametrics.com
Technical documentationdocs.atoti.iodocs.actian.com/­ingreswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperActiveViamActian CorporationSADAS s.r.l.Apache Software FoundationVictoriaMetrics
Initial release1974 infooriginally developed at University Berkely in early 1970s200620142018
Current release11.2, May 20228.03.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoApache 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 languageJavaCC++ScalaGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyesSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatornonenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
atotiIngresSadas EngineSpark SQLVictoriaMetrics
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