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DBMS > Apache Druid vs. BoltDB vs. EventStoreDB vs. OpenMLDB vs. Quasardb

System Properties Comparison Apache Druid vs. BoltDB vs. EventStoreDB vs. OpenMLDB vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embedded key-value store for Go.Industrial-strength, open-source database solution built from the ground up for event sourcing.An open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeEvent StoreTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orggithub.com/­boltdb/­boltwww.eventstore.comopenmldb.aiquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsEvent Store Limited4 Paradigm Inc.quasardb
Initial release20122013201220202009
Current release29.0.1, April 202421.2, February 20212024-2 February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicenseOpen SourceOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++, Java, ScalaC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binary
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.nononono
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLSQL for queryingnoyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
SQLAlchemy
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Apache DruidBoltDBEventStoreDBOpenMLDBQuasardb
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