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DBMS > Hazelcast vs. Microsoft Azure Table Storage vs. Trino vs. VictoriaMetrics

System Properties Comparison Hazelcast vs. Microsoft Azure Table Storage vs. Trino vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTrino  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score3.55
Rank#80  Overall
#6  Wide column stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tablestrino.iovictoriametrics.com
Technical documentationhazelcast.org/­imdg/­docstrino.io/­broadcast
trino.io/­docs/­current
docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHazelcastMicrosoftTrino Software FoundationVictoriaMetrics
Initial release200820122012 info2020 rebranded from PrestoSQL2018
Current release5.3.6, November 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VMhostedLinux
macOS infofor devlopment
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyes
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLSQL-like query languagenoyesno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyes, depending on connected data-sourceno
Triggersyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.depending on connected data-sourceSynchronous 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 AlgorithmImmediate Consistencydepending on connected data-sourceEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedoptimistic lockingdepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole-based access controlAccess rights based on private key authentication or shared access signaturesSQL standard access control
More information provided by the system vendor
HazelcastMicrosoft Azure Table StorageTrinoVictoriaMetrics
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
HazelcastMicrosoft Azure Table StorageTrinoVictoriaMetrics
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