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DBMS > Axibase vs. Riak TS vs. Spark SQL vs. Teradata vs. Transbase

System Properties Comparison Axibase vs. Riak TS vs. Spark SQL vs. Teradata vs. Transbase

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonRiak TS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSpark 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 modelTime Series DBMSTime Series DBMSRelational 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
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financespark.apache.org/­sqlwww.teradata.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAxibase CorporationOpen Source, formerly Basho TechnologiesApache Software FoundationTeradataTransaction Software GmbH
Initial release20132015201419841987
Current release155853.0.0, September 20223.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen SourceOpen Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangScalaC and C++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
hosted
Linux
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnoyesyesyes
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.nononoyesno
Secondary indexesnorestrictednoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languageyes, limitedSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
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 proceduresyesErlangnoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesyes infopre-commit hooks and post-commit hooksnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDyes
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 controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AxibaseRiak TSSpark SQLTeradataTransbase
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