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DBMS > Apache Druid vs. Fujitsu Enterprise Postgres vs. OrientDB vs. SAP SQL Anywhere

System Properties Comparison Apache Druid vs. Fujitsu Enterprise Postgres vs. OrientDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOrientDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Multi-model DBMS (Document, Graph, Key/Value)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Relational 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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitedruid.apache.orgwww.postgresql.fastware.comorientdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdruid.apache.org/­docs/­latest/­designwww.postgresql.fastware.com/­product-manualswww.orientdb.com/­docs/­last/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOrientDB LTD; CallidusCloud; SAPSAP infoformerly Sybase
Initial release201220101992
Current release29.0.1, April 2024Fujitsu Enterprise Postgres 14, January 20223.2.29, March 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
All OS with a Java JDK (>= JDK 6)AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language, no joinsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsJava, Javascriptyes, in C/C++, Java, .Net or Perl
TriggersnoyesHooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedpartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyes
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 for users and roles; record level security configurablefine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidFujitsu Enterprise PostgresOrientDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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 DruidFujitsu Enterprise PostgresOrientDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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