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DBMS > eXtremeDB vs. Hazelcast vs. InfluxDB vs. OrigoDB

System Properties Comparison eXtremeDB vs. Hazelcast vs. InfluxDB vs. OrigoDB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonInfluxDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA widely adopted in-memory data gridDBMS for storing time series, events and metricsA fully ACID in-memory object graph database
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.mcobject.comhazelcast.comwww.influxdata.com/­products/­influxdb-overvieworigodb.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmhazelcast.org/­imdg/­docsdocs.influxdata.com/­influxdborigodb.com/­docs
DeveloperMcObjectHazelcastRobert Friberg et al
Initial release2001200820132009 infounder the name LiveDB
Current release8.2, 20215.3.6, November 20232.7.6, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source
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 languageC and C++JavaGoC#
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMLinux
OS X infothrough Homebrew
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and StringsUser defined using .NET types and collections
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 infosupport of XML interfaces availableyes infothe object must implement a serialization strategynono infocan be achieved using .NET
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query languageSQL-like query languageno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesnoyes
Triggersyes infoby defining eventsyes infoEventsnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding infoin enterprise version onlyhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoReplicated Mapselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engineyes
User concepts infoAccess controlRole-based access controlsimple rights management via user accountsRole based authorization
More information provided by the system vendor
eXtremeDBHazelcastInfluxDBOrigoDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source core with closed source clustering available either on-premise or on...
» more
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