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DBMS > Spark SQL vs. TempoIQ vs. YDB

System Properties Comparison Spark SQL vs. TempoIQ vs. YDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonYDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitespark.apache.org/­sqltempoiq.com (offline)github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperApache Software FoundationTempoIQYandex
Initial release201420122019
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesJava
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnosimple authentication-based access controlAccess rights defined for Yandex Cloud users

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More resources
Spark SQLTempoIQ infoformerly TempoDBYDB
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