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DBMS > Hazelcast vs. NSDb vs. Prometheus vs. TimesTen

System Properties Comparison Hazelcast vs. NSDb vs. Prometheus vs. TimesTen

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonNSDb  Xexclude from comparisonPrometheus  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA widely adopted in-memory data gridScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen-source Time Series DBMS and monitoring systemAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitehazelcast.comnsdb.ioprometheus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationhazelcast.org/­imdg/­docsnsdb.io/­Architectureprometheus.io/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperHazelcastOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2008201720151998
Current release5.3.6, November 2023Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
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 languageJavaJava, ScalaGo
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringNumeric data onlyyes
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 strategynono infoImport of XML data possibleno
Secondary indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC
HTTP REST
WebSocket
RESTful HTTP/JSON APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnonoPL/SQL
Triggersyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standard

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More resources
HazelcastNSDbPrometheusTimesTen
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