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DBMS > Apache Druid vs. Fujitsu Enterprise Postgres vs. Geode vs. Newts vs. Oracle Berkeley DB

System Properties Comparison Apache Druid vs. Fujitsu Enterprise Postgres vs. Geode vs. Newts vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeode  Xexclude from comparisonNewts  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS based on CassandraWidely used in-process key-value store
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitedruid.apache.orgwww.postgresql.fastware.comgeode.apache.orgopennms.github.io/­newtswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdruid.apache.org/­docs/­latest/­designwww.postgresql.fastware.com/­product-manualsgeode.apache.org/­docsgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.OpenNMS GroupOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012200220141994
Current release29.0.1, April 2024Fujitsu Enterprise Postgres 14, January 20221.1, February 201718.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Unix
Linux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (OQL)noyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java Client API
Memcached protocol
RESTful HTTP API
HTTP REST
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsnono
Triggersnoyesyes infoCache Event Listenersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedpartitioning by range, list and by hashShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
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-standardAccess rights per client and object definablenono
More information provided by the system vendor
Apache DruidFujitsu Enterprise PostgresGeodeNewtsOracle Berkeley DB
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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Apache DruidFujitsu Enterprise PostgresGeodeNewtsOracle Berkeley DB
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