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DBMS > Apache Drill vs. Apache Druid vs. EJDB vs. IBM Db2 Event Store

System Properties Comparison Apache Drill vs. Apache Druid vs. EJDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonEJDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Distributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Document storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitedrill.apache.orgdruid.apache.orggithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­db2-event-store
Technical documentationdrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software FoundationApache Software Foundation and contributorsSoftmotionsIBM
Initial release2012201220122017
Current release1.20.3, January 202329.0.1, April 20242.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache license v2Open Source infoGPLv2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
server-lessLinux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyes
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 indexesnoyesnono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL for queryingnoyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
in-process shared libraryADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write LockingNo - written data is immutable
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standard

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More resources
Apache DrillApache DruidEJDBIBM Db2 Event Store
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