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DBMS > Apache Druid vs. Cloudflare Workers KV vs. EJDB vs. IBM Db2 Event Store

System Properties Comparison Apache Druid vs. Cloudflare Workers KV vs. EJDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEJDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeDocument storeEvent Store
Time Series 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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.27
Rank#297  Overall
#44  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitedruid.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­db2-event-store
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.cloudflare.com/­kv/­apigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation and contributorsCloudflareSoftmotionsIBM
Initial release2012201820122017
Current release29.0.1, April 20242.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPLv2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++
Server operating systemsLinux
OS X
Unix
hostedserver-lessLinux infoLinux, macOS, Windows for the developer addition
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes 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 indexesyesnonono
SQL infoSupport of SQLSQL for queryingnonoyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
Proprietary protocol
in-process shared libraryADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
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 proceduresnononoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnoneActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 persistentyesyesyesYes - 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.nonoyes
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-standard

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More resources
Apache DruidCloudflare Workers KVEJDBIBM Db2 Event Store
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