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DBMS > Apache Druid vs. EJDB vs. Fujitsu Enterprise Postgres vs. Prometheus vs. Quasardb

System Properties Comparison Apache Druid vs. EJDB vs. Fujitsu Enterprise Postgres vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEJDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-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)Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial 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
Score0.27
Rank#297  Overall
#44  Document stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orggithub.com/­Softmotions/­ejdbwww.postgresql.fastware.comprometheus.ioquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.postgresql.fastware.com/­product-manualsprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsSoftmotionsPostgreSQL Global Development Group, Fujitsu Australia Software Technologyquasardb
Initial release2012201220152009
Current release29.0.1, April 2024Fujitsu Enterprise Postgres 14, January 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPLv2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCCGoC++
Server operating systemsLinux
OS X
Unix
server-lessLinux
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesNumeric data onlyyes infointeger and binary
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.nono infoImport of XML data possibleno
Secondary indexesyesnoyesnoyes infowith tags
SQL infoSupport of SQLSQL for queryingnoyesnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
in-process shared libraryADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonepartitioning by range, list and by hashShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
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-standardnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidEJDBFujitsu Enterprise PostgresPrometheusQuasardb
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache DruidEJDBFujitsu Enterprise PostgresPrometheusQuasardb
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