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DBMS > Drizzle vs. OpenTenBase vs. Spark SQL vs. TempoIQ

System Properties Comparison Drizzle vs. OpenTenBase vs. Spark SQL vs. TempoIQ

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonOpenTenBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An enterprise-level distributed HTAP open source database based on PostgreSQLSpark 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 DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#370  Overall
#156  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
spark.apache.org/­sqltempoiq.com (offline)
Technical documentationdocs.opentenbase.org
docs.opentenbase.org/­en
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDrizzle project, originally started by Brian AkerOpenAtom Foundation, previously TencentApache Software FoundationTempoIQ
Initial release200820142012
Current release7.2.4, September 20122.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoBSD-3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Scala
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
Data schemeyesyesyesschema-free
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJDBC
ODBC
HTTP API
Supported programming languagesC
C++
Java
PHP
C
Go
Java
PHP
Python
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersno infohooks for callbacks inside the server can be used.yesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardnosimple authentication-based access control

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More resources
DrizzleOpenTenBaseSpark SQLTempoIQ infoformerly TempoDB
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