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DBMS > Apache Spark (SQL) vs. HarperDB vs. TempoIQ

System Properties Comparison Apache Spark (SQL) vs. HarperDB vs. TempoIQ

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonHarperDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Scalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score0.54
Rank#241  Overall
#38  Document stores
Websitespark.apache.org/­sqlwww.harperdb.iotempoiq.com (offline)
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.harperdb.io/­docs
DeveloperApache Software FoundationHarperDBTempoIQ
Initial release201420172012
Current release3.5.0 ( 2.13), September 20233.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaNode.js
Server operating systemsLinux
OS X
Windows
Linux
OS X
Data schemeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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 statementsSQL-like data manipulation statementsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Supported programming languagesJava
Python
R
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1no
Triggersnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be defined
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 datanoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users and rolessimple authentication-based access control

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More resources
Apache Spark (SQL)HarperDBTempoIQ infoformerly TempoDB
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