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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonPostgreSQL  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.Performant, highly scalable DBMS for AI and IoT applicationsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSKey-value storeKey-value store
Vector DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitedruid.apache.orgatoti.iogithub.com/­boltdb/­boltwww.jaguardb.comwww.postgresql.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.iowww.jaguardb.com/­support.htmlwww.postgresql.org/­docs
DeveloperApache Software Foundation and contributorsActiveViamDataJaguar, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201320151989 info1989: Postgres, 1996: PostgreSQL
Current release29.0.1, April 20243.3 July 202316.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availableOpen Source infoMIT LicenseOpen Source infoGPL V3.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaJavaGoC++ infothe server part. Clients available in other languagesC
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)noA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infostandard with numerous extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoPythonnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioningnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
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.noyesnonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnorights management via user accountsfine grained access rights according to SQL-standard

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More resources
Apache DruidatotiBoltDBJaguarDBPostgreSQL
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