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DBMS > atoti vs. Hazelcast vs. OrigoDB vs. Prometheus

System Properties Comparison atoti vs. Hazelcast vs. OrigoDB vs. Prometheus

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHazelcast  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A widely adopted in-memory data gridA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring system
Primary database modelObject oriented DBMSKey-value storeDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteatoti.iohazelcast.comorigodb.comprometheus.io
Technical documentationdocs.atoti.iohazelcast.org/­imdg/­docsorigodb.com/­docsprometheus.io/­docs
DeveloperActiveViamHazelcastRobert Friberg et al
Initial release20082009 infounder the name LiveDB2015
Current release5.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#Go
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsNumeric 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.yes infothe object must implement a serialization strategyno infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languagenono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresPythonyes infoEvent Listeners, Executor Servicesyesno
Triggersyes infoEventsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlRole based authorizationno

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More resources
atotiHazelcastOrigoDBPrometheus
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