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DBMS > Apache Druid vs. atoti vs. BoltDB vs. Coveo vs. JaguarDB

System Properties Comparison Apache Druid vs. atoti vs. BoltDB vs. Coveo vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonCoveo  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSKey-value storeSearch engineKey-value store
Vector 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
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.11
Rank#118  Overall
#11  Search engines
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Websitedruid.apache.orgatoti.iogithub.com/­boltdb/­boltwww.coveo.comwww.jaguardb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.iodocs.coveo.comwww.jaguardb.com/­support.html
DeveloperApache Software Foundation and contributorsActiveViamCoveoDataJaguar, Inc.
Initial release2012201320122015
Current release29.0.1, April 20243.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availableOpen Source infoMIT LicensecommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyes infoschema-less columns are supportedschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)nonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC#
Java
JavaScript
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoPythonnonono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioningnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnogranular access controls, API key management, content filtersrights management via user accounts

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More resources
Apache DruidatotiBoltDBCoveoJaguarDB
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