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DBMS > Brytlyt vs. Hypertable vs. Spark SQL vs. Teradata vs. Transbase

System Properties Comparison Brytlyt vs. Hypertable vs. Spark SQL vs. Teradata vs. Transbase

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHypertable  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTransbase  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open source BigTable implementation based on distributed file systems such as HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitebrytlyt.iospark.apache.org/­sqlwww.teradata.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.brytlyt.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBrytlytHypertable Inc.Apache Software FoundationTeradataTransaction Software GmbH
Initial release20162009201419841987
Current release5.0, August 20230.9.8.11, March 20163.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
hosted
Linux
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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BrytlytHypertableSpark SQLTeradataTransbase
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