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DBMS > Apache Phoenix vs. EventStoreDB vs. Hawkular Metrics vs. Interbase

System Properties Comparison Apache Phoenix vs. EventStoreDB vs. Hawkular Metrics vs. Interbase

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseIndustrial-strength, open-source database solution built from the ground up for event sourcing.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSEvent StoreTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Websitephoenix.apache.orgwww.eventstore.comwww.hawkular.orgwww.embarcadero.com/­products/­interbase
Technical documentationphoenix.apache.orgdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbase
DeveloperApache Software FoundationEvent Store LimitedCommunity supported by Red HatEmbarcadero
Initial release2014201220141984
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201921.2, February 2021InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinux
Unix
Windows
Linux
Windows
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-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.nonono infoexport as XML data possible
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsJDBCHTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes infoInterbase procedure and trigger language
Triggersnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standard

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More resources
Apache PhoenixEventStoreDBHawkular MetricsInterbase
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