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DBMS > Hawkular Metrics vs. Hazelcast vs. Tarantool vs. Warp 10

System Properties Comparison Hawkular Metrics vs. Hazelcast vs. Tarantool vs. Warp 10

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonTarantool  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridIn-memory database with an integrated application serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSKey-value storeKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#332  Overall
#32  Time Series DBMS
Score9.52
Rank#50  Overall
#6  Key-value stores
Score1.58
Rank#137  Overall
#25  Key-value stores
Score0.23
Rank#284  Overall
#25  Time Series DBMS
Websitewww.hawkular.orghazelcast.comwww.tarantool.iowww.warp10.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docswww.tarantool.io/­en/­docwww.warp10.io/­content/­02_Getting_started
DeveloperCommunity supported by Red HatHazelcastMail.ru GroupSenX
Initial release2014200820082015
Current release5.0, September 20212.4.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSDOpen Source infoApache License 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 and C++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMBSD
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, booleanyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL supportno
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Open binary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesLua, C and SQL stored proceduresyes infoWarpScript
Triggersyes infovia Hawkular Alertingyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingHash sharding based on virtual bucketsSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated MapMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyes, with SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACID, read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlnoRole-based access controlAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Hawkular MetricsHazelcastTarantoolWarp 10
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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