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DBMS > Apache Druid vs. OpenEdge vs. Prometheus vs. Spark SQL vs. TempoIQ

System Properties Comparison Apache Druid vs. OpenEdge vs. Prometheus vs. Spark SQL vs. TempoIQ

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMSTime 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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedruid.apache.orgwww.progress.com/­openedgeprometheus.iospark.apache.org/­sqltempoiq.com (offline)
Technical documentationdruid.apache.org/­docs/­latest/­designdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation and contributorsProgress Software CorporationApache Software FoundationTempoIQ
Initial release20121984201520142012
Current release29.0.1, April 2024OpenEdge 12.2, March 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoScala
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.noyesno infoImport of XML data possiblenono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyes infoclose to SQL 92noSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning infosince Version 11.4Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonononono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers and groupsnonosimple authentication-based access control

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More resources
Apache DruidOpenEdgePrometheusSpark SQLTempoIQ infoformerly TempoDB
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