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DBMS > Apache Druid vs. Apache Phoenix vs. BoltDB vs. EventStoreDB

System Properties Comparison Apache Druid vs. Apache Phoenix vs. BoltDB vs. EventStoreDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.Industrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeEvent Store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Websitedruid.apache.orgphoenix.apache.orggithub.com/­boltdb/­boltwww.eventstore.com
Technical documentationdruid.apache.org/­docs/­latest/­designphoenix.apache.orgdevelopers.eventstore.com
DeveloperApache Software Foundation and contributorsApache Software FoundationEvent Store Limited
Initial release2012201420132012
Current release29.0.1, April 20245.0-HBase2, July 2018 and 4.15-HBase1, December 201921.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyes infoschema-less columns are supportedyes infolate-bound, schema-on-read capabilitiesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLSQL for queryingyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno

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Apache DruidApache PhoenixBoltDBEventStoreDB
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