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DBMS > Apache Druid vs. LevelDB vs. PostgreSQL vs. Quasardb vs. Teradata

System Properties Comparison Apache Druid vs. LevelDB vs. PostgreSQL vs. Quasardb vs. Teradata

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitedruid.apache.orggithub.com/­google/­leveldbwww.postgresql.orgquasar.aiwww.teradata.com
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgresql.org/­docsdoc.quasar.ai/­masterdocs.teradata.com
DeveloperApache Software Foundation and contributorsGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbTeradata
Initial release201220111989 info1989: Postgres, 1996: PostgreSQL20091984
Current release29.0.1, April 20241.23, February 202116.3, May 20243.14.1, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSDOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC++
Server operating systemsLinux
OS X
Unix
Illumos
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
hosted
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binaryyes
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 infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesnoyesyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL for queryingnoyes infostandard with numerous extensionsSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonepartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
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-standardCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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Apache DruidLevelDBPostgreSQLQuasardbTeradata
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