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DBMS > Apache Druid vs. EventStoreDB vs. LeanXcale

System Properties Comparison Apache Druid vs. EventStoreDB vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIndustrial-strength, open-source database solution built from the ground up for event sourcing.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMS
Time Series DBMS
Event StoreKey-value store
Relational 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
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitedruid.apache.orgwww.eventstore.comwww.leanxcale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.com
DeveloperApache Software Foundation and contributorsEvent Store LimitedLeanXcale
Initial release201220122015
Current release29.0.1, April 202421.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes
SQL infoSupport of SQLSQL for queryingyes infothrough Apache Derby
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Apache DruidEventStoreDBLeanXcale
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