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DBMS > Apache Pinot vs. Ehcache vs. Hawkular Metrics vs. Heroic

System Properties Comparison Apache Pinot vs. Ehcache vs. Hawkular Metrics vs. Heroic

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEhcache  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA widely adopted Java cache with tiered storage optionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitepinot.apache.orgwww.ehcache.orgwww.hawkular.orggithub.com/­spotify/­heroic
Technical documentationdocs.pinot.apache.orgwww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidespotify.github.io/­heroic
DeveloperApache Software Foundation and contributorsTerracotta Inc, owned by Software AGCommunity supported by Red HatSpotify
Initial release2015200920142014
Current release1.0.0, September 20233.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnonoyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBCJCacheHTTP RESTHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Java
Python
JavaGo
Java
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersyes infoCache Event Listenersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnono

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More resources
Apache PinotEhcacheHawkular MetricsHeroic
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