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DBMS > Amazon Redshift vs. Hypertable vs. Spark SQL vs. SQLite vs. Transbase

System Properties Comparison Amazon Redshift vs. Hypertable vs. Spark SQL vs. SQLite vs. Transbase

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHypertable  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonTransbase  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn open source BigTable implementation based on distributed file systems such as HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteaws.amazon.com/­redshiftspark.apache.org/­sqlwww.sqlite.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­redshiftspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazon (based on PostgreSQL)Hypertable Inc.Apache Software FoundationDwayne Richard HippTransaction Software GmbH
Initial release20122009201420001987
Current release0.9.8.11, March 20163.5.0 ( 2.13), September 20233.45.3  (15 April 2024), April 2024Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoPublic Domaincommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ScalaCC and C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
server-lessFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesnoyesyes infonot rigid because of 'dynamic typing' concept.yes
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.nononono
Secondary indexesrestrictedrestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnononoyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnononofine grained access rights according to SQL-standard

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Amazon RedshiftHypertableSpark SQLSQLiteTransbase
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