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DBMS > Apache Druid vs. Coveo vs. IBM Db2 Event Store vs. UniData,UniVerse

System Properties Comparison Apache Druid vs. Coveo vs. IBM Db2 Event Store vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCoveo  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDistributed Event Store optimized for Internet of Things use casesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMS
Time Series DBMS
Search engineEvent Store
Time Series DBMS
Multivalue DBMS
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
Score2.11
Rank#118  Overall
#11  Search engines
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitedruid.apache.orgwww.coveo.comwww.ibm.com/­products/­db2-event-storewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.coveo.comwww.ibm.com/­docs/­en/­db2-event-storedocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation and contributorsCoveoIBMRocket Software
Initial release2012201220171985
Current release29.0.1, April 20242.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C
Server operating systemsLinux
OS X
Unix
hostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoschema-less columns are supportedhybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyesyes
Triggersnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 systemgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
Apache DruidCoveoIBM Db2 Event StoreUniData,UniVerse
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