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DBMS > atoti vs. Google BigQuery vs. InterSystems Caché vs. OpenMLDB vs. Prometheus

System Properties Comparison atoti vs. Google BigQuery vs. InterSystems Caché vs. OpenMLDB vs. Prometheus

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPrometheus  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Large scale data warehouse service with append-only tablesA multi-model DBMS and application serverAn open-source machine learning database that provides a feature platform for training and inferenceOpen-source Time Series DBMS and monitoring system
Primary database modelObject oriented DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteatoti.iocloud.google.com/­bigquerywww.intersystems.com/­products/­cacheopenmldb.aiprometheus.io
Technical documentationdocs.atoti.iocloud.google.com/­bigquery/­docsdocs.intersystems.comopenmldb.ai/­docs/­zh/­mainprometheus.io/­docs
DeveloperActiveViamGoogleInterSystems4 Paradigm Inc.
Initial release2010199720202015
Current release2018.1.4, May 20202024-2 February 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, ScalaGo
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Data schemeyesdepending on used data modelFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.noyesnono infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyesyesno
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
C++
Go
Java
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresPythonuser defined functions infoin JavaScriptyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnoyesyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardno

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More resources
atotiGoogle BigQueryInterSystems CachéOpenMLDBPrometheus
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