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DBMS > Apache Druid vs. EDB Postgres vs. FatDB vs. H2

System Properties Comparison Apache Druid vs. EDB Postgres vs. FatDB vs. H2

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFatDB  Xexclude from comparisonH2  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitedruid.apache.orgwww.enterprisedb.comwww.h2database.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.enterprisedb.com/­docswww.h2database.com/­html/­main.html
DeveloperApache Software Foundation and contributorsEnterpriseDBFatCloudThomas Mueller
Initial release2012200520122005
Current release29.0.1, April 202414, December 20212.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoBSD for PostgreSQL-componentscommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#Java
Server operating systemsLinux
OS X
Unix
Linux
Windows
WindowsAll OS with a Java VM
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infostandard with numerous extensionsno infoVia inetgration in SQL Serveryes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#Java
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infovia applicationsJava Stored Procedures and User-Defined Functions
Triggersnoyesyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning infoby hash, list or rangeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard

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More resources
Apache DruidEDB PostgresFatDBH2
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